TWI853342B - Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders - Google Patents
Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders Download PDFInfo
- Publication number
- TWI853342B TWI853342B TW111143463A TW111143463A TWI853342B TW I853342 B TWI853342 B TW I853342B TW 111143463 A TW111143463 A TW 111143463A TW 111143463 A TW111143463 A TW 111143463A TW I853342 B TWI853342 B TW I853342B
- Authority
- TW
- Taiwan
- Prior art keywords
- patient
- medical
- questionnaire
- sign data
- sleep
- Prior art date
Links
- 208000019116 sleep disease Diseases 0.000 title claims abstract description 46
- 238000003745 diagnosis Methods 0.000 title claims abstract description 23
- 238000013480 data collection Methods 0.000 claims abstract description 27
- 230000004044 response Effects 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 230000006399 behavior Effects 0.000 claims description 22
- 238000012549 training Methods 0.000 claims description 22
- 230000007958 sleep Effects 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 14
- 239000008280 blood Substances 0.000 claims description 13
- 210000004369 blood Anatomy 0.000 claims description 13
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 12
- 229910052760 oxygen Inorganic materials 0.000 claims description 12
- 239000001301 oxygen Substances 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 11
- 210000004556 brain Anatomy 0.000 claims description 9
- 208000020685 sleep-wake disease Diseases 0.000 claims description 8
- 208000013738 Sleep Initiation and Maintenance disease Diseases 0.000 claims description 6
- 206010022437 insomnia Diseases 0.000 claims description 6
- 230000001537 neural effect Effects 0.000 claims description 6
- 206010021143 Hypoxia Diseases 0.000 claims description 5
- 208000010340 Sleep Deprivation Diseases 0.000 claims description 5
- 206010041235 Snoring Diseases 0.000 claims description 5
- 230000007954 hypoxia Effects 0.000 claims description 5
- 230000000241 respiratory effect Effects 0.000 claims description 5
- 230000033764 rhythmic process Effects 0.000 claims description 5
- 230000036760 body temperature Effects 0.000 claims description 4
- 230000000422 nocturnal effect Effects 0.000 claims description 4
- 201000002859 sleep apnea Diseases 0.000 claims description 4
- 230000004622 sleep time Effects 0.000 claims description 4
- 208000012219 Autonomic Nervous System disease Diseases 0.000 claims description 3
- 208000005793 Restless legs syndrome Diseases 0.000 claims description 3
- 208000008784 apnea Diseases 0.000 claims description 3
- 210000003403 autonomic nervous system Anatomy 0.000 claims description 3
- 230000001734 parasympathetic effect Effects 0.000 claims description 3
- 230000002028 premature Effects 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000004620 sleep latency Effects 0.000 claims description 3
- 230000008667 sleep stage Effects 0.000 claims description 3
- 230000002889 sympathetic effect Effects 0.000 claims description 3
- 208000017164 Chronobiology disease Diseases 0.000 claims description 2
- 208000008705 Nocturnal Myoclonus Syndrome Diseases 0.000 claims description 2
- 208000023515 periodic limb movement disease Diseases 0.000 claims description 2
- 230000035807 sensation Effects 0.000 claims description 2
- 230000002035 prolonged effect Effects 0.000 claims 1
- 238000004891 communication Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 6
- 230000003993 interaction Effects 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 description 15
- 230000005540 biological transmission Effects 0.000 description 14
- 238000000034 method Methods 0.000 description 11
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
- 239000003814 drug Substances 0.000 description 4
- 230000003203 everyday effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 201000010099 disease Diseases 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 description 3
- 210000000707 wrist Anatomy 0.000 description 3
- 101100012902 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) FIG2 gene Proteins 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 2
- 238000010876 biochemical test Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000037213 diet Effects 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 208000035475 disorder Diseases 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 230000008451 emotion Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 230000003860 sleep quality Effects 0.000 description 2
- 230000002618 waking effect Effects 0.000 description 2
- 208000030090 Acute Disease Diseases 0.000 description 1
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 206010019233 Headaches Diseases 0.000 description 1
- 101001121408 Homo sapiens L-amino-acid oxidase Proteins 0.000 description 1
- 102100026388 L-amino-acid oxidase Human genes 0.000 description 1
- 208000002193 Pain Diseases 0.000 description 1
- 208000032140 Sleepiness Diseases 0.000 description 1
- 206010041349 Somnolence Diseases 0.000 description 1
- 206010044565 Tremor Diseases 0.000 description 1
- 208000003443 Unconsciousness Diseases 0.000 description 1
- 230000003187 abdominal effect Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000037237 body shape Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000009225 cognitive behavioral therapy Methods 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 210000003414 extremity Anatomy 0.000 description 1
- 231100000869 headache Toxicity 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 230000008450 motivation Effects 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000036407 pain Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000001766 physiological effect Effects 0.000 description 1
- 230000002980 postoperative effect Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000037321 sleepiness Effects 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
本發明關於一種輔助診斷與醫囑成效追蹤系統，特別是一種關於睡眠障礙之輔助診斷與醫囑成效追蹤系統。 The present invention relates to an auxiliary diagnosis and medical prescription effectiveness tracking system, in particular to an auxiliary diagnosis and medical prescription effectiveness tracking system for sleep disorders.
當病人就醫後，醫生都會發出醫囑給病人。醫囑就是醫生根據病情和治療的需要對病人在飲食、用藥、檢驗，甚至是生活習慣改變上等諸方面的指示。每一個醫囑通常對應一個療程，視療程結束時病情的變化結果再決定是否進入下一個療程，或是結束治療。對於急性的疾病，比如感冒，自體免疫力配合醫囑指示的用藥方式，通常無須回診即可恢復健康。然而對於一些慢性病，例如糖尿病，或術後治癒，如果要保持一定健康狀態或回復原狀，病人就免不了與醫生長期合作，按照醫囑指示不間斷地執行。由於醫生必須要等到病人回診時才知道醫囑提供的治療是否對患者有幫助，或是病人是否有遵照醫囑指示進行治療相關動作，因此往往可能錯失調整或改善患者狀況的良機。如果確實執行醫囑還無法有效緩解病情，那麼醫生可以依照客觀看診結果，修正治療方式。但是，若病人不依從醫囑或誤解醫囑的指示，比如該用藥不用藥、需少吃高油脂食物卻依然如故，醫生縱然華陀再世，也難完成治病救命的工作。因此，如何拉近與醫生間的互動並有效追蹤病人執行醫囑的成效，一直是院方尋求突破的醫務相關問題。 When a patient sees a doctor, the doctor will issue a medical order to the patient. The medical order is the doctor's instructions to the patient on diet, medication, examinations, and even changes in lifestyle habits based on the patient's condition and treatment needs. Each medical order usually corresponds to a course of treatment, and the decision on whether to enter the next course of treatment or end the treatment will be based on the changes in the condition at the end of the course. For acute diseases, such as colds, the body's own immunity cooperates with the medication method instructed by the doctor's order, and health can usually be restored without a return visit. However, for some chronic diseases, such as diabetes, or postoperative treatment, if a certain health status is to be maintained or restored to the original state, the patient will inevitably cooperate with the doctor for a long time and follow the doctor's order continuously. Since doctors have to wait until the patient returns for a follow-up visit to know whether the treatment provided by the doctor's order is helpful to the patient, or whether the patient has followed the doctor's order to perform the treatment-related actions, they may often miss the opportunity to adjust or improve the patient's condition. If the doctor's order is indeed executed and still cannot effectively alleviate the condition, then the doctor can modify the treatment method according to the objective diagnosis results. However, if the patient does not comply with the doctor's order or misunderstands the doctor's order, such as not taking the medicine when it should be, or eating less high-fat food, the doctor will find it difficult to complete the work of curing diseases and saving lives even if Hua Tuo is reborn. Therefore, how to close the interaction with doctors and effectively track the effectiveness of patients' execution of the doctor's order has always been a medical-related issue that the hospital is seeking to break through.
就睡眠障礙而言，其亦需要解決醫病互動與追蹤醫囑執行成效的問題。這原因很容易理解：因為睡眠障礙產生的原因多樣且不確定，影響時間長但徵狀 有時不明顯，且醫生需要較長時間追蹤病患的生理數據以判定病因。常見的引發睡眠障礙原因有精神方面的問題，有與患者身體狀況關聯的問題，也有與環境有關的問題。醫生在診斷患者睡眠障礙病因時，除了基於本身的經驗外，還得詳細詢問患者周遭各種生活因子，從而找出可能的病因，針對病因給出醫矚。然而，病因不見得能以一次療程解除到位，患者與醫生就需要頻繁地互動。如有必要，患者還需定時監測生理數據，將這些生理數據提供醫生，作為下次醫囑的判斷基礎。由於整體的治療流程時間長、治療程序繁瑣，許多患者在沒能解決病症前便失去就診動力，任由其睡眠障礙持續嚴重惡化，造成生活上無謂的困擾。 As for sleep disorders, it is also necessary to solve the problem of doctor-patient interaction and tracking the effectiveness of the execution of medical orders. The reason is easy to understand: because the causes of sleep disorders are diverse and uncertain, the impact time is long but the symptoms are sometimes not obvious, and doctors need to track the patient's physiological data for a long time to determine the cause. Common causes of sleep disorders include mental problems, problems related to the patient's physical condition, and problems related to the environment. When doctors diagnose the cause of a patient's sleep disorder, in addition to their own experience, they must also inquire in detail about various life factors around the patient to find out the possible cause and give medical treatment for the cause. However, the cause may not be completely eliminated in one course of treatment, so patients and doctors need to interact frequently. If necessary, patients also need to monitor physiological data regularly and provide these physiological data to doctors as the basis for the next medical advice. Due to the long overall treatment process and cumbersome procedures, many patients lose the motivation to seek medical treatment before the symptoms are resolved, allowing their sleep disorders to continue to deteriorate and cause unnecessary troubles in life.
因此，為了解決睡眠障礙於醫病互動與追蹤醫囑執行成效上的問題，從而有本睡眠障礙之輔助診斷與醫囑成效追蹤系統之研發。 Therefore, in order to solve the problem of sleep disorders in the interaction between doctors and patients and tracking the effectiveness of medical prescriptions, this auxiliary diagnosis system for sleep disorders and medical prescription effectiveness tracking system was developed.
本段文字提取和編譯本發明的某些特點。其它特點將被揭露於後續段落中。其目的在涵蓋附加的申請專利範圍之精神和範圍中，各式的修改和類似的排列。 This paragraph extracts and compiles certain features of the invention. Other features will be revealed in subsequent paragraphs. Its purpose is to cover various modifications and similar arrangements within the spirit and scope of the attached patent application.
為了解決前述問題，本發明提出一種睡眠障礙之輔助診斷與醫囑成效追蹤系統。該系統包含：一生理體徵數據蒐集裝置，可以接觸患者的體表，或以非接觸式，比如雷達波的方式，以連續偵測並記錄人體的至少一生理體徵數據，並將該生理體徵數據向外部傳輸；一患者端操作裝置，與該生理體徵數據蒐集裝置資訊連接，安裝一應用程式(APP)以執行以下作業：接收並顯示該生理體徵數據，並將該生理體徵數據向外部傳輸；接收針對該患者的一調查問卷、顯示該調查問卷內容並讓該患者填寫，並將填寫完成的一回覆資料向外部傳輸；及接受該患者輸入用以闡述每日睡眠障礙情形的一患者日誌，並將該患者日誌向外部傳輸；以及一伺服器，與該患 者端操作裝置及一醫療端操作裝置資訊連接，接收該生理體徵數據、該回覆資料與該患者日誌，包括：一資料庫模組，分類儲存複數個關於睡眠障礙的問卷題目組合、每一問卷題目組合對應的一預期結果組合、每一問卷題目組合對應的一報告初稿，及複數個生理體徵數據合理區間，其中該問卷題目組合包含複數個問卷題目，該預期結果組合為對應問卷題目組合中每一問卷題目的預期結果之組合；及一醫囑模組，與該資料庫模組資訊連接，執行以下作業：提出關於病徵詢問的一個問卷題目組合或由該醫療端操作裝置指定與一醫囑有關的一個問卷題目組合作為該調查問卷，並發送給該患者端操作裝置；將接收的該患者日誌及該回覆資料傳送至該醫療端操作裝置；若接收的該回覆資料中對各問卷題目的答案為對應的預期結果組合的預期結果佔該問卷題目總數量之比例大於一門檻值，及/或該生理體徵數據的平均值落於對應的生理體徵數據合理區間時，向該醫療端操作裝置發出對應的報告初稿，並將該報告初稿在該醫療端操作裝置進行修改或確認後，定為一醫事報告發給該患者端操作裝置；及若接收的該回覆資料中對各問卷題目的答案為對應的預期結果組合的預期結果佔該問卷題目總數量之比例小於該門檻值，且該生理體徵數據的平均值未落於對應的生理體徵數據合理區間時，通知該患者端操作裝置執行一輔助療程。要注意的是，前述醫療端操作裝置可以自動或手動輸入患者的基因、生化檢測等相關資訊。這些資訊可能來自基因檢測報告、血液生化檢測報告等。 In order to solve the above-mentioned problems, the present invention proposes an auxiliary diagnosis system for sleep disorders and a tracking system for the effectiveness of medical advice. The system comprises: a physiological sign data collection device that can contact the patient's body surface, or in a non-contact manner, such as a radar wave, to continuously detect and record at least one physiological sign data of the human body, and transmit the physiological sign data to the outside; a patient-side operating device that is connected to the information of the physiological sign data collection device and is installed with an application (APP) to perform the following operations: receiving and displaying the physiological sign data, and transmitting the physiological sign data to the outside; receiving a questionnaire for the patient, displaying the content of the questionnaire and allowing the patient to fill it out, and sending the completed reply data to the external transmission; and receiving a patient diary inputted by the patient to describe the daily sleep disorder situation, and transmitting the patient diary to the outside; and a server, connected to the patient-side operating device and a medical-side operating device information, receiving the physiological sign data, the response data and the patient diary, including: a database module, storing a plurality of questionnaire question combinations related to sleep disorders, an expected result combination corresponding to each questionnaire question combination, a report draft corresponding to each questionnaire question combination, and a plurality of physiological sign data reasonable intervals, wherein the questionnaire question combination includes a plurality of questionnaire questions, The expected result combination is a combination of expected results corresponding to each question in the questionnaire question combination; and a doctor's instruction module is connected to the database module information to perform the following operations: propose a questionnaire question combination about symptom inquiry or specify a questionnaire question combination related to a doctor's instruction by the medical end operating device as the survey questionnaire, and send it to the patient end operating device; transmit the received patient diary and the response data to the medical end operating device; if the expected result of the answer to each question in the received response data is the expected result of the corresponding combination of expected results, the proportion of the total number of questions in the questionnaire is greater than one When the threshold value is reached, and/or the average value of the physiological sign data falls within the reasonable range of the corresponding physiological sign data, a corresponding draft report is sent to the medical end operation device, and after the draft report is modified or confirmed by the medical end operation device, it is determined as a medical report and sent to the patient end operation device; and if the proportion of the expected result of the corresponding expected result combination of the answers to each questionnaire question in the received response data to the total number of questions in the questionnaire is less than the threshold value, and the average value of the physiological sign data does not fall within the reasonable range of the corresponding physiological sign data, the patient end operation device is notified to perform an auxiliary treatment. It should be noted that the aforementioned medical end operation device can automatically or manually input the patient's genetic, biochemical test and other related information. This information may come from genetic test reports, blood biochemical test reports, etc.
依照本發明，該資料庫模組可進一步儲存複數個關聯題目，該醫療端操作裝置可將一個以上的關聯題目加入原有問卷題目組合，進而作為該調查問卷，發送給該患者端操作裝置。 According to the present invention, the database module can further store multiple related questions, and the medical end operating device can add one or more related questions to the original questionnaire question combination, and then send it to the patient end operating device as the survey questionnaire.
依照本發明，該輔助療程可包含以下：a)透過該應用程式顯示一指定行為以通知該患者執行；b)透過該應用程式通知該患者於執行該指定行為後的一指定時段內，將生理感受以選單挑選或手動輸入方式透過該應用程式回傳該醫囑模組；及c)將選單挑選或手動輸入的結果以及該生理體徵數據蒐集裝置於該指定時段前記錄的該生理體徵數據，發給該醫療端操作裝置。 According to the present invention, the auxiliary therapy may include the following: a) displaying a specified behavior through the application to notify the patient to perform; b) notifying the patient through the application to return the physiological sensation to the medical instruction module through the application in a specified period of time after performing the specified behavior by menu selection or manual input; and c) sending the results of menu selection or manual input and the physiological sign data recorded by the physiological sign data collection device before the specified period of time to the medical end operation device.
依照本發明，該醫囑模組可進一步包含：一神經反饋訓練模式子模組，提供用以訓練腦波在容易放鬆的波形的指定行為；及一生物反饋訓練模式子模組，提供用以調整訓練自律神經調控能力，讓身體的交感模式能夠切換到副交感模式的指定行為。 According to the present invention, the medical advice module may further include: a neural feedback training mode submodule, which provides a designated behavior for training brain waves in a wave shape that is easy to relax; and a biological feedback training mode submodule, which provides a designated behavior for adjusting and training the autonomic nervous system's regulatory ability so that the body's sympathetic mode can be switched to a parasympathetic mode.
最好，該生理體徵數據為體溫、血氧量、腦波頻率、呼吸氣流量、脈搏頻率、心率、心律變異率、體動率、鼾聲分貝或睡姿。 Preferably, the physiological sign data is body temperature, blood oxygen level, brain wave frequency, respiratory airflow, pulse rate, heart rate, heart rhythm variability, body movement rate, snoring decibels or sleeping posture.
依照本發明，該患者端操作裝置可進一步透過該應用程式接收一檢測報告，並將該檢測報告通過該醫囑模組傳送至該醫療端操作裝置。 According to the present invention, the patient-side operating device can further receive a test report through the application, and transmit the test report to the medical-side operating device through the medical instruction module.
依照本發明，睡眠障礙包含睡眠呼吸中止症候群、晝夜節律失調、週期性肢體抽動症、不寧腿症、自律神經失調、睡眠不足、半夜覺醒、夜間覺醒後再入睡困難、過早清醒或長期淺眠。 According to the present invention, sleep disorders include sleep apnea syndrome, circadian rhythm disorder, periodic limb movement disorder, restless legs syndrome, autonomic nervous system disorder, insufficient sleep, awakening in the middle of the night, difficulty falling asleep again after awakening at night, premature awakening or long-term shallow sleep.
前述之睡眠障礙之輔助診斷與醫囑成效追蹤系統可進一步包含一分析數據模組，將接收的該至少一生理體徵數據計算為至少一分析數據，用以評估睡眠障礙的發生原因、趨勢及/或程度，該分析數據為失眠指數、記憶指數、心變異率相關指數、壓力指數、平均血氧值、夜間缺氧指數、呼吸中止指數、總睡眠總時間、睡眠效率、睡眠階段百分比、睡眠潛伏期時間、睡眠期間覺醒次數或入睡後醒來總時間。 The aforementioned auxiliary diagnosis and medical advice effectiveness tracking system for sleep disorders may further include an analysis data module, which calculates the received at least one physiological sign data into at least one analysis data to evaluate the cause, trend and/or degree of sleep disorders. The analysis data is insomnia index, memory index, heart rate variability-related index, stress index, average blood oxygen value, nocturnal hypoxia index, apnea index, total sleep time, sleep efficiency, sleep stage percentage, sleep latency time, number of awakenings during sleep, or total time of waking up after falling asleep.
前述之睡眠障礙之輔助診斷與醫囑成效追蹤系統亦可進一步包含一應用程式介面模組，提供該患者端操作裝置於傳送該生理體徵數據時的特定規範。 The aforementioned auxiliary diagnosis and medical advice effectiveness tracking system for sleep disorders may further include an application programming interface module to provide the patient-side operating device with specific specifications for transmitting the physiological sign data.
透過醫囑模組分析來自患者端操作裝置的生理體徵數據、對應調查問卷的回覆資料與患者日誌，醫生可以了解患者的即時狀況以及執行醫囑的成效。如果成效不彰，還可提供患者其他自律學習自我療癒認知行為治療的輔助療程。本發明有效強化醫病互動，並能強化睡眠障礙的診斷與治療。 By analyzing the physiological sign data from the patient's operating device, the response data of the corresponding questionnaire and the patient's diary through the doctor's instruction module, the doctor can understand the patient's real-time condition and the effectiveness of executing the doctor's instruction. If the effect is not satisfactory, the patient can also be provided with other auxiliary treatment courses of self-discipline learning, self-healing cognitive behavioral therapy. The invention effectively strengthens the interaction between doctors and patients, and can strengthen the diagnosis and treatment of sleep disorders.
10:網路 10: Internet
20:患者 20: Patient
100:生理體徵數據蒐集裝置 100: Physiological sign data collection device
110:偵測模組 110: Detection module
120:第一藍芽傳輸模組 120: The first Bluetooth transmission module
200:患者端操作裝置 200: Patient-side operating device
210:第二藍芽傳輸模組 210: Second Bluetooth transmission module
220:傳輸模組 220: Transmission module
230:螢幕 230: Screen
300:伺服器 300: Server
310:網路通訊界面 310: Network communication interface
320:應用程式介面模組 320: Application Programming Interface Module
330:分析數據模組 330:Analysis data module
340:資料庫模組 340: Database module
350:醫囑模組 350: Medical advice module
351:神經反饋訓練模式子模組 351:Neural feedback training mode submodule
352:生物反饋訓練模式子模組 352: Biofeedback training mode submodule
353:多向訓練模式子模組 353: Multi-directional training mode submodule
400:醫療端操作裝置 400: Medical operation device
圖1為依照本發明實施例的一種睡眠障礙之輔助診斷與醫囑成效追蹤系統的示意圖。 FIG1 is a schematic diagram of an auxiliary diagnosis system for sleep disorders and a medical advice effectiveness tracking system according to an embodiment of the present invention.
圖2為生理體徵數據呈現於一患者端操作裝置的一螢幕上的實作例子。 Figure 2 is an implementation example of displaying physiological sign data on a screen of a patient-side operating device.
圖3為患者日誌呈現於患者端操作裝置的螢幕上的實作例子。 Figure 3 is an implementation example of a patient log displayed on the screen of a patient-side operating device.
圖4表列一資料庫模組內的部分資料結構。 Figure 4 shows part of the data structure in a database module.
圖5呈現問卷題目組合的一種型態。 Figure 5 shows a type of questionnaire question combination.
本發明將藉由參照下列的實施方式而更具體地描述。 The present invention will be described in more detail with reference to the following embodiments.
請見圖1，該圖為依照本發明實施例的一種睡眠障礙之輔助診斷與醫囑成效追蹤系統(以下簡稱本系統)的示意圖。本系統包含了一生理體徵數據蒐集裝置100、一患者端操作裝置200與一伺服器300。前述技術元件的型態與功能，以及本系統的運作方式，將於下方詳述之。 Please see Figure 1, which is a schematic diagram of a sleep disorder auxiliary diagnosis and medical advice effectiveness tracking system (hereinafter referred to as the system) according to an embodiment of the present invention. The system includes a physiological sign data collection device 100, a patient-side operating device 200 and a server 300. The types and functions of the aforementioned technical components, as well as the operation of the system, will be described in detail below.
生理體徵數據蒐集裝置100安裝於一患者20的體表，用以連續偵測並記錄人體的至少一生理體徵數據，並將該生理體徵數據向外部傳輸。前述的生理體徵數據指的是患者20在日常生活任何時刻中(不限於睡眠時間)，可由皮膚表面偵測到的生理體徵的量化數據，無須進行穿刺式偵測。生理體徵數據可以是，但 不限於體溫、血氧量、腦波頻率、呼吸氣流量、脈搏頻率、心率、心律變異率、體動率、鼾聲分貝與睡姿。為了達到上述目的，生理體徵數據蒐集裝置100可包含一偵測模組110。舉例而言，如果要偵測體溫，偵測模組110可以包含一個電子式溫度計，安裝在腕部或軀幹(如胸口)；如果要偵測血氧量，偵測模組110可以包含一個脈衝式血氧濃度計，安裝於人的手指、手腕或耳部上；如果要偵測腦波頻率(包含α波、β波、θ波、δ波和γ波等不同頻率區間的波種)，偵測模組110可以包含一個腦電波感測器，安裝於人體頭部；如果要偵測呼吸氣流量，偵測模組110可以包含一個呼吸流量計，以一口鼻罩安置於面部以測得進出口鼻的氣流量，也可以運用雷達波方式偵測胸腹起伏來監測呼吸；如果要偵測脈搏頻率，偵測模組110可以包含一個光學脈搏感測器，以穿戴式方式安裝於手腕、手指或耳部處；如果要偵測心率，偵測模組110可以包含一個心率偵測器，透過安裝於體表上的多個電極所偵測到的微量電壓變動，來計算心率；如果要偵測心律變異率，也可依靠前述的心率偵測器，但計算的標的異於心率計算；如果要偵測體動率(主要於睡眠時間中進行，偵測人體有意識或無意識的震動或抖動，為每秒發生的動作次數)，偵測模組110可以包含一個加速度感測器(G-sensor)，貼附於身體表面來監測，也可以透過床墊上的感壓裝置(壓電式或氣壓式)來監測活動量；如果要偵測鼾聲(於睡眠時間中進行)，偵測模組110可以包含一個微型麥克風，安裝於接近口鼻處，配合訊號處理電路來進行鼾聲分貝偵測；如果要偵測睡姿，可以使用前述的加速度感測器或以與該偵測模組110連接的攝影機來取得受測者身形變化的位置向量，也可以透過貼附於身體表面的加速度感測器(G-sensor)分析。要強調的是，偵測模組110也可以同時包含多個偵測器，一次偵測二種以上的生理體徵數據。 The physiological sign data collection device 100 is installed on the body surface of a patient 20 to continuously detect and record at least one physiological sign data of the human body and transmit the physiological sign data to the outside. The aforementioned physiological sign data refers to the quantitative data of the physiological sign that can be detected from the skin surface of the patient 20 at any time in daily life (not limited to sleep time), without the need for puncture detection. The physiological sign data can be, but is not limited to, body temperature, blood oxygen content, brain wave frequency, respiratory airflow, pulse frequency, heart rate, heart rate variability, body movement rate, snoring decibels and sleeping posture. In order to achieve the above purpose, the physiological sign data collection device 100 can include a detection module 110. For example, if the body temperature is to be detected, the detection module 110 may include an electronic thermometer mounted on the wrist or trunk (such as the chest); if the blood oxygen level is to be detected, the detection module 110 may include a pulse oximeter mounted on the finger, wrist or ear of the person; if the brain wave frequency (including waves in different frequency ranges such as α wave, β wave, θ wave, δ wave and γ wave) is to be detected, the detection module 110 may include a brain wave sensor mounted on the head of the human body; if To detect the respiratory airflow, the detection module 110 may include a respiratory flow meter, which is a nasal mask placed on the face to measure the airflow from the mouth and nose, or a radar wave method may be used to detect the chest and abdominal rise and fall to monitor breathing; if the pulse frequency is to be detected, the detection module 110 may include an optical pulse sensor, which is installed in a wearable manner on the wrist, finger or ear; if the heart rate is to be detected, the detection module 110 may include a heart rate detector, which detects the heart rate through multiple electrodes installed on the body surface. The detected tiny voltage changes are used to calculate the heart rate. If the heart rhythm variability is to be detected, the aforementioned heart rate detector can also be used, but the target of the calculation is different from the heart rate calculation. If the body movement rate is to be detected (mainly during sleep, detecting the conscious or unconscious vibration or tremor of the human body, which is the number of movements per second), the detection module 110 can include an acceleration sensor (G-sensor) attached to the surface of the body for monitoring, or through a pressure-sensitive device (piezoelectric) on the mattress. or air pressure) to monitor activity; if snoring is to be detected (during sleep), the detection module 110 may include a miniature microphone installed near the mouth and nose, and cooperate with the signal processing circuit to detect the decibel of snoring; if sleeping posture is to be detected, the aforementioned accelerometer or a camera connected to the detection module 110 may be used to obtain the position vector of the subject's body shape change, or an accelerometer (G-sensor) attached to the body surface may be used for analysis. It should be emphasized that the detection module 110 may also include multiple detectors at the same time to detect more than two physiological sign data at a time.
由於生理體徵數據蒐集裝置100可以偵測多種生理體徵數據，或是可藉由多個具有偵測單一生理體徵數據的生理體徵數據蒐集裝置100來偵測多種生 理體徵數據，一個或多個生理體徵數據蒐集裝置100都要同時以無線方式向外傳輸其所偵測的數據。無論其數據的資料結構為何，向外傳輸時都會以電磁波型態為之。為了便於傳輸不遺落資料，生理體徵數據蒐集裝置100還包含了一第一藍芽傳輸模組120，用以與使用生理體徵數據蒐集裝置100的患者20所擁有的患者端操作裝置200資訊連接。在本實施例中，生理體徵數據蒐集裝置100是個可同時偵測心率、溫度、血氧量與睡姿的可攜式裝置，類似於一個指環而配戴於手指上。實作上，生理體徵數據蒐集裝置100的型態不限於此，還可以是貼片、智能衣、智能手環、智能手錶或是其它適當的人體附著設備。資料傳輸時機方面，依照本發明，生理體徵數據蒐集裝置100偵測到的數據基本上會先儲存在本身中，一段時間(比如一整晚)錄製完成之後會以其中安裝的APP驅動，將數據上傳到伺服器300。這是直接的方式，也可以採用間接的方式，比如生理體徵數據蒐集裝置100與一資料儲存盒(未繪示)連接，再以APP驅動該資料儲存盒，將資料上傳到伺服器300。 Since the physiological sign data collection device 100 can detect multiple physiological sign data, or multiple physiological sign data collection devices 100 capable of detecting a single physiological sign data can be used to detect multiple physiological sign data, one or more physiological sign data collection devices 100 must simultaneously transmit the detected data wirelessly. Regardless of the data structure of the data, the data is transmitted in the form of electromagnetic waves. In order to facilitate transmission without data loss, the physiological sign data collection device 100 also includes a first Bluetooth transmission module 120 for information connection with the patient-side operating device 200 owned by the patient 20 using the physiological sign data collection device 100. In this embodiment, the physiological sign data collection device 100 is a portable device that can detect heart rate, temperature, blood oxygen level and sleeping position at the same time, and is similar to a ring worn on a finger. In practice, the type of the physiological sign data collection device 100 is not limited to this, and can also be a patch, smart clothing, smart bracelet, smart watch or other appropriate human body attached device. In terms of data transmission timing, according to the present invention, the data detected by the physiological sign data collection device 100 will basically be stored in itself first, and after a period of time (such as a whole night) of recording is completed, the data will be uploaded to the server 300 by the APP installed therein. This is a direct method. An indirect method can also be used, such as connecting the physiological sign data collection device 100 to a data storage box (not shown), and then using an APP to drive the data storage box to upload the data to the server 300.
患者端操作裝置200是個供患者20即時查看生理體徵數據蒐集裝置100偵測到的生理體徵數據的行動裝置。實作上，患者端操作裝置200可以是個智慧手機、平板電腦、桌上型電腦或筆記型電腦，實施例中的患者端操作裝置200是個智慧手機。為了與生理體徵數據蒐集裝置100訊號連接，患者端操作裝置200具有一第二藍芽傳輸模組210以對接第一藍芽傳輸模組120。患者端操作裝置200安裝了一應用程式(APP)，該應用程式是本發明的重要技術特徵，可以執行多個作業。首先，應用程式可以接收生理體徵數據蒐集裝置100傳來的生理體徵數據(加載於電磁波上的原始數據)，透過轉換後以合適的介面，呈現於患者端操作裝置200的一螢幕230上。一個實作的例子如圖2所示。圖2中，心率、溫度與血氧量的即時量以數值分別顯示在不同數字框中，隨著時間而變化。為擴充數據搜集與分析目的，患者端操作裝置200可根據需求開放API串接各種與睡眠和情緒檢 測相關的醫療級智慧穿戴裝置與監測設備。此外，患者端操作裝置200可將該生理體徵數據向外部傳輸，目標是伺服器300。由於患者端操作裝置200與伺服器300相隔甚遠，所以其間的訊號連接是通過網路10，以無線的方式為之。為此，患者端操作裝置200還包括了一傳輸模組220，傳輸模組220可作為與網路10的介面，用來接收來自伺服器300的訊息並將生理體徵數據傳向伺服器300。實作上，傳輸模組220可以是個Wi-Fi模組或通訊網路(4G或5G)連接模組。由於和伺服器300建立了訊號連接，患者端操作裝置200可以接收針對該患者的一調查問卷、顯示該調查問卷內容並讓該患者填寫，並將填寫完成的一回覆資料向外部(伺服器300)傳輸。調查問卷的內容特徵及使用目的將於下方說明。同時，患者端操作裝置200還可以接受該患者輸入用以闡述每日睡眠障礙情形的一患者日誌，並將該患者日誌向外部(伺服器300)傳輸。進一步說，患者日誌是患者每天將其感受到睡眠障礙的具體案例，以文字、語音或影音的方式與醫生溝通的數位資料。如果以文字為之，患者日誌還可使用選單或數字條輸入相關資料。依照本發明，睡眠障礙包含但不限於睡眠呼吸中止症候群、晝夜節律失調、週期性肢體抽動症、不寧腿症、自律神經失調、睡眠不足、半夜覺醒、夜間覺醒後再入睡困難、過早清醒及長期淺眠。請見圖3，該圖為患者日誌呈現於患者端操作裝置200的螢幕230上的實作例子。圖3中，螢幕230上的患者日誌框內可以手動輸入文字來陳述患者20對於該日睡眠障礙的具體案例，其上的數字條可以左右移動，調整「整體睡眠品質」與「白天精神」的分數。當全部資料都準備妥，點擊「新增今日患者日誌」按鍵即可將之傳送到伺服器300。 The patient-side operating device 200 is a mobile device for the patient 20 to view the physiological sign data detected by the physiological sign data collection device 100 in real time. In practice, the patient-side operating device 200 can be a smart phone, a tablet computer, a desktop computer or a laptop computer. The patient-side operating device 200 in the embodiment is a smart phone. In order to connect the signal with the physiological sign data collection device 100, the patient-side operating device 200 has a second Bluetooth transmission module 210 to connect to the first Bluetooth transmission module 120. The patient-side operating device 200 is installed with an application (APP), which is an important technical feature of the present invention and can perform multiple operations. First, the application can receive the physiological sign data (raw data loaded on electromagnetic waves) transmitted by the physiological sign data collection device 100, and after conversion, present it on a screen 230 of the patient-side operating device 200 with a suitable interface. An example of implementation is shown in FIG2. In FIG2, the real-time values of heart rate, temperature and blood oxygen content are displayed in different digital boxes as numerical values, which change over time. In order to expand the purpose of data collection and analysis, the patient-side operating device 200 can open APIs to connect various medical-grade smart wearable devices and monitoring equipment related to sleep and mood detection according to needs. In addition, the patient-side operating device 200 can transmit the physiological sign data to the outside, and the target is the server 300. Since the patient-side operating device 200 and the server 300 are far apart, the signal connection between them is wirelessly established through the network 10. To this end, the patient-side operating device 200 also includes a transmission module 220, which can serve as an interface with the network 10 to receive messages from the server 300 and transmit physiological sign data to the server 300. In practice, the transmission module 220 can be a Wi-Fi module or a communication network (4G or 5G) connection module. Since a signal connection is established with the server 300, the patient-side operating device 200 can receive a questionnaire for the patient, display the content of the questionnaire and allow the patient to fill it out, and transmit the completed response data to the outside (server 300). The content characteristics and purpose of the questionnaire will be explained below. At the same time, the patient-side operating device 200 can also accept a patient diary input by the patient to describe the daily sleep disorder situation, and transmit the patient diary to the outside (server 300). Furthermore, the patient diary is a digital data in which the patient communicates with the doctor every day in the form of text, voice or video about the specific cases of sleep disorders he feels. If it is in text, the patient diary can also use a menu or a number bar to enter relevant data. According to the present invention, sleep disorders include but are not limited to sleep apnea syndrome, diurnal rhythm disorders, periodic limb tics, restless legs syndrome, autonomic nervous system disorders, lack of sleep, awakening in the middle of the night, difficulty falling asleep again after awakening at night, premature awakening and long-term shallow sleep. Please see Figure 3, which is an example of the implementation of the patient log displayed on the screen 230 of the patient-side operating device 200. In Figure 3, text can be manually entered in the patient log box on the screen 230 to describe the specific case of the patient 20's sleep disorder on that day, and the number bar on it can be moved left and right to adjust the scores of "overall sleep quality" and "daytime spirit". When all the data is ready, click the "Add today's patient log" button to send it to the server 300.
伺服器300的架構與相關軟體設計是本發明的另一技術特徵。伺服器300可與患者端操作裝置200及一醫療端操作裝置400資訊連接，因此可接收患者端操作裝置200傳來的生理體徵數據、回覆資料與患者日誌。醫療端操作裝置400是醫生或相關專業醫事人員擁有，可以透過伺服器300獲得與患者相關調查問 卷、回覆資料、患者日誌與生理體徵數據，甚至是可與患者端操作裝置200透過網路10直接聯繫的工具。型態上，醫療端操作裝置400也可以是個智慧手機、平板電腦、桌上型電腦或筆記型電腦，實施例中的醫療端操作裝置400是個筆記型電腦。伺服器300包括了一網路通訊界面310、一應用程式介面模組320、一分析數據模組330、一資料庫模組340與一醫囑模組350。 The architecture and related software design of the server 300 are another technical feature of the present invention. The server 300 can be connected to the patient-side operating device 200 and a medical-side operating device 400, so it can receive physiological sign data, response data and patient diary from the patient-side operating device 200. The medical-side operating device 400 is owned by doctors or related professional medical personnel, and can obtain patient-related questionnaires, response data, patient diary and physiological sign data through the server 300, and can even be a tool that can directly connect with the patient-side operating device 200 through the network 10. In terms of form, the medical-side operating device 400 can also be a smart phone, a tablet computer, a desktop computer or a laptop computer. The medical-side operating device 400 in the embodiment is a laptop computer. The server 300 includes a network communication interface 310, an application programming interface module 320, a data analysis module 330, a database module 340 and a medical consultation module 350.
網路通訊界面310為伺服器300與外界硬體透過網路10連接的重要軟韌體(有時也包含運行於作業系統的程式軟體)的總裝，可以包含網路卡、連接排線、無線通訊模組等硬體。以下所介紹關於本發明的各個模組或子模組，為利用或配合上述現有的伺服器300的設備而運行之本系統的技術要件。因此，它們可以是軟體，包含了特定的程式碼與資料，而在作業系統下運行於至少一部份的硬體架構中(比如程式碼與相關資料檔案儲存於儲存裝置中，在作業系統的運作下暫存於記憶體，而為中央處理器動態的調用執行)。另一方面，該些模組或子模組也可以是特製硬體，比如特殊應用積體電路(Application-specific integrated circuit，ASIC)或外接卡，用以執行該些模組或子模組所賦予的作用。更有甚者，這些技術要件可以是部分是軟體、部分是硬體，依照產品設計人員的需求而有效整合，都在本專利所主張的技術範圍內。 The network communication interface 310 is an assembly of important software and firmware (sometimes also including program software running in the operating system) that connects the server 300 to the external hardware through the network 10, and may include hardware such as a network card, a connecting cable, and a wireless communication module. The various modules or sub-modules of the present invention described below are technical requirements for the system to be operated by utilizing or cooperating with the above-mentioned existing server 300 equipment. Therefore, they can be software, including specific program codes and data, and running in at least a part of the hardware architecture under the operating system (for example, program codes and related data files are stored in a storage device, temporarily stored in the memory under the operation of the operating system, and dynamically called and executed by the central processor). On the other hand, these modules or sub-modules can also be special hardware, such as application-specific integrated circuits (ASIC) or external cards, to perform the functions assigned to these modules or sub-modules. Moreover, these technical requirements can be partly software and partly hardware, and can be effectively integrated according to the needs of product designers, all within the technical scope advocated by this patent.
由於不同類型生理體徵數據蒐集裝置100提供的生理體徵數據的資料結構不同，如果患者端操作裝置200照單全收而向伺服器300，伺服器300會無法辨別而造成訊息錯誤。因此，傳入伺服器300的生理體徵數據需要有一定的規範(格式)，應用程式介面模組320便是處理此項工作的技術元件：應用程式介面模組320可提供患者端操作裝置200於傳送該生理體徵數據時的特定規範。實作上，應用程式介面模組320會提供特有的API(Application Programming Interface)，讓患者端操作裝置200有可依循的格式與順序(規範)，傳輸資料。 Since the data structures of the physiological sign data provided by different types of physiological sign data collection devices 100 are different, if the patient-side operating device 200 accepts all of them and sends them to the server 300, the server 300 will not be able to identify them and cause message errors. Therefore, the physiological sign data transmitted to the server 300 needs to have certain specifications (formats), and the application program interface module 320 is the technical component for processing this work: the application program interface module 320 can provide the patient-side operating device 200 with specific specifications when transmitting the physiological sign data. In practice, the application program interface module 320 will provide a unique API (Application Programming Interface) so that the patient-side operating device 200 has a format and sequence (specifications) to follow to transmit data.
分析數據模組330可將接收的至少一生理體徵數據計算為至少一分析數據，用以評估睡眠障礙的發生原因、趨勢及/或程度。依照本發明，分析數據可以是，但不限於失眠指數、記憶指數、心變異率相關指數、壓力指數、平均血氧值、夜間缺氧指數、呼吸中止指數、總睡眠總時間、睡眠效率、睡眠階段百分比、睡眠潛伏期時間、睡眠期間覺醒次數及入睡後醒來總時間。舉例而言，當伺服器300接收到患者20一分鐘內12次的血氧量時，分析數據模組330就可以對之進行算術平均，求得平均血氧值。前述的失眠指數、記憶指數與夜間缺氧指數在臨床醫學上也有相對應的計算方式，此處不予以贅述。要注意的是，分析數據模組330是對基礎數據依照學理上公開的公式進行快速即時的計算，從而可得到對分析病因有利的衍生數據的技術元件。這些衍生數據可以當作參考資料提供給操作醫療端操作裝置400的醫生。 The analysis data module 330 can calculate the received at least one physiological sign data into at least one analysis data to evaluate the cause, trend and/or degree of sleep disorders. According to the present invention, the analysis data can be, but not limited to, insomnia index, memory index, heart rate variability index, stress index, average blood oxygen value, nocturnal hypoxia index, apnea index, total sleep time, sleep efficiency, sleep stage percentage, sleep latency time, number of awakenings during sleep, and total time of waking up after falling asleep. For example, when the server 300 receives 12 blood oxygen levels of the patient within 20 minutes, the analysis data module 330 can perform arithmetic averaging to obtain the average blood oxygen value. The aforementioned insomnia index, memory index and nocturnal hypoxia index also have corresponding calculation methods in clinical medicine, which will not be elaborated here. It should be noted that the analysis data module 330 is a technical component that quickly and instantly calculates the basic data according to the formula disclosed in theory, so as to obtain derivative data that is beneficial to the analysis of the cause of the disease. These derivative data can be provided as reference data to the doctor who operates the medical end operation device 400.
資料庫模組340分類儲存複數個關於睡眠障礙的問卷題目組合、每一問卷題目組合對應的一預期結果組合、每一問卷題目組合對應的一報告初稿，及複數個生理體徵數據合理區間。前述的問卷題目組合包含複數個問卷題目，預期結果組合為對應問卷題目組合中每一問卷題目的預期結果之組合。為了對此有較佳理解，請見圖4，該圖表列資料庫模組340內的部分資料結構：問卷題目組合，序號Q002。在資料庫模組340中還有許多其他關於睡眠障礙的問卷題目組合，比如序號R001、Q003...等(不同英文字母表示不同的分類)。就序號Q002的問卷題目組合而言，其包含了許多的問卷題目，依照出現的順序分派問題序號，由1開始，但該些問題本身也有屬於自己專有的問題編號。由於問卷題目組合會根據不同面向、病狀或療程而提供患者20回答，因此相同的問卷題目可能會出現在不同的問卷題目組合中，因此以問題編號來進行管理。每一個問卷題目的問題內容是應用程式呈現在螢幕230上的文字內容，讓患者20選對應的答案編號，比如問題內容是「請問您最近十天內有幾天感覺睡眠不足？」，答案A為沒有、B為2天以 內、C為3~5天、D為6~8天、E為9~10天。在圖4中的例子裏，一般問題預設的答案編號範圍有5個，然而，某些問題可能只有是或非的選項，那它們的答案編號範圍就會縮減為2個。依照本發明，答案編號範圍不設限，但至少是2個以上。預期結果是正常沒有睡眠障礙的人所會選擇的答案編號範圍，比如問題編號N0037的預期結果為A與B。答案編號範圍也可以是採分段式，比如一個開放式的問題「過去一個月以來，你通常何時上床」，那可以依照時段區分為18：00~20：00、20：00~22：00、22：00~0：00、0：00~2：00、2：00~4：00、4：00~6：00等，每一個時段對應一個隱含的答案編號。這種型態的問卷題目組合呈現如圖5所示。當然，這些預設的問卷題目可能會隨著醫療技術的進步而不切時宜，需要修改或替換。因此，資料庫模組340還可儲存複數個關聯題目，醫療端操作裝置400就連線操作，將一個以上的關聯題目加入原有問卷題目組合，進而作為前述的調查問卷，發送給該患者端操作裝置200。 The database module 340 stores a plurality of questionnaire combinations related to sleep disorders, an expected result combination corresponding to each questionnaire combination, a draft report corresponding to each questionnaire combination, and a plurality of reasonable intervals of physiological sign data. The aforementioned questionnaire combination includes a plurality of questionnaire questions, and the expected result combination is a combination of expected results corresponding to each questionnaire question in the questionnaire combination. In order to have a better understanding of this, please see Figure 4, which lists part of the data structure in the database module 340: questionnaire combination, serial number Q002. There are many other questionnaire combinations related to sleep disorders in the database module 340, such as serial numbers R001, Q003...etc. (different English letters represent different categories). As for the questionnaire question set with serial number Q002, it includes many questionnaire questions, and the question serial numbers are assigned according to the order of appearance, starting from 1, but these questions themselves also have their own exclusive question numbers. Since the questionnaire question set will provide patients with answers according to different aspects, symptoms or treatment courses, the same questionnaire question may appear in different questionnaire question sets, so it is managed by question numbers. The question content of each questionnaire question is the text content presented on the screen 230 by the application, allowing the patient 20 to select the corresponding answer number. For example, the question content is "How many days in the past ten days did you feel insufficient sleep?" The answer A is no, B is less than 2 days, C is 3~5 days, D is 6~8 days, and E is 9~10 days. In the example in FIG. 4 , the default answer number range for general questions is 5. However, some questions may only have yes or no options, and their answer number range will be reduced to 2. According to the present invention, the answer number range is not limited, but it is at least 2. The expected result is the answer number range that a normal person without sleep disorders would choose, for example, the expected result of question number N0037 is A and B. The answer number range can also be segmented. For example, an open-ended question "When did you usually go to bed in the past month?" can be divided into 18:00~20:00, 20:00~22:00, 22:00~0:00, 0:00~2:00, 2:00~4:00, 4:00~6:00, etc., and each time period corresponds to an implicit answer number. This type of questionnaire question combination is shown in Figure 5. Of course, these preset questionnaire questions may become inappropriate with the advancement of medical technology and need to be modified or replaced. Therefore, the database module 340 can also store multiple related questions, and the medical end operating device 400 can connect and operate to add one or more related questions to the original questionnaire question combination, and then send it to the patient end operating device 200 as the aforementioned survey questionnaire.
由於一個問卷題目組合中有多個問卷題目，每個問卷題目對應一個預期結果，因此每一問卷題目組合包含多個預期結果，這些預期結果的集合就是預期結果組合。問卷題目可關於睡眠品質、睡眠呼吸中止症評估、失眠指數，及取材自嗜睡量表、憂鬱量表、焦慮量表、生活壓力量表、意外事件量表等針對使用者的自評量表中。如同學校考試一般，當患者20的問卷閱卷完畢時，老師會出具一份講評，讓學生知道自己的學習狀況，哪裡要改進。就問卷題目組合的回答而言，需要專業醫生來回復。由於醫生已可自回覆資料中就過往經驗就答題情況判斷患者20的病症與病因，醫生就無須每份問卷題目組合逐份出具報告，而是以預設的報告初稿來協助醫生撰寫報告，醫生只需修改其中的說明即可，可節省許多時間。比如從回覆資料的回答情況可以判斷患者20是患有晝夜節律失調，醫生只需修改報告初稿中的可能患病類型就好。此外，資料庫模組340儲存的複數個生理體徵數據合理區間，是用來判斷來自患者端操作裝置200的生理體徵數據是否 屬於醫學上的健康正常人的範圍，供醫囑模組350執行時參考。就問卷型態而言，可以使用國際量表或生活問卷(屬於經驗問卷)。日誌(個案每日自行填寫)也是一種型態的問卷，但由於其內容主觀，不易有特定的問卷題目，所以分開處理。日誌可包括：睡眠、情緒、疼痛、頭痛為主題的使用者日誌。前二種形式屬於可量化的可以計算出分數，日誌是無法計算分數，但是可以供專業人員參考使用。依照本發明，可以計算出分數的問卷會根據不同的問卷題目，以及患者的生理資料(身高、體重、脖圍、腰圍、穿戴裝置量測之數據)交叉比對，得出一個輔助診斷的參考結果，這時候專業人員會再根據患者填寫的日誌，以及現場的諮詢，進行整體評估，並訂定治療計畫。在治療期間，醫生或心理治療師會再根據上述的流程，反覆進行治療效果確認，以確定他們制定治療計畫的可行性，或者是否需要進行療程修改。 Since there are multiple questionnaire questions in a questionnaire question combination, each questionnaire question corresponds to an expected result, so each questionnaire question combination contains multiple expected results, and the collection of these expected results is the expected result combination. Questionnaire questions can be about sleep quality, sleep apnea assessment, insomnia index, and self-assessment scales for users such as sleepiness scales, depression scales, anxiety scales, life stress scales, and unexpected events scales. Just like a school exam, when the patient finishes reading the questionnaire, the teacher will issue a comment to let the student know his or her learning status and where to improve. As for the answers to the questionnaire question combination, professional doctors are needed to reply. Since the doctor can judge the symptoms and causes of the patient 20 from the response data based on past experience and answers, the doctor does not need to issue a report for each questionnaire question combination. Instead, the doctor can use the preset report draft to assist the doctor in writing the report. The doctor only needs to modify the description therein, which can save a lot of time. For example, from the answers in the response data, it can be judged that the patient 20 suffers from diurnal rhythm disorder. The doctor only needs to modify the possible disease type in the report draft. In addition, the reasonable range of multiple physiological sign data stored in the database module 340 is used to judge whether the physiological sign data from the patient-side operating device 200 belongs to the range of a medically healthy normal person, for reference when the medical instruction module 350 is executed. In terms of questionnaire type, international scales or life questionnaires (experience questionnaires) can be used. Diaries (filled out by the individual every day) are also a type of questionnaire, but because their content is subjective, it is not easy to have specific questionnaire questions, so they are handled separately. Diaries can include: user diaries with themes such as sleep, emotions, pain, and headaches. The first two forms are quantifiable and can be calculated with scores. Diaries cannot be calculated with scores, but they can be used as a reference for professionals. According to the present invention, the questionnaire that can calculate the score will be cross-checked according to different questionnaire questions and the patient's physiological data (height, weight, neck circumference, waist circumference, and data measured by wearable devices) to obtain a reference result for auxiliary diagnosis. At this time, professionals will conduct an overall assessment based on the diary filled out by the patient and on-site consultation, and formulate a treatment plan. During the treatment period, the doctor or psychotherapist will repeatedly confirm the treatment effect according to the above process to determine the feasibility of their treatment plan or whether the course of treatment needs to be modified.
由以上說明可知，本發明可蒐集多來源異質資料，包含穿戴裝置收集生理數據、使用者自評量表(問卷與日誌)、生化基因檢測報告等，以用於醫囑任務執行回饋。 From the above description, it can be seen that the present invention can collect heterogeneous data from multiple sources, including physiological data collected by wearable devices, user self-assessment scales (questionnaires and diaries), biochemical gene test reports, etc., for feedback on the execution of medical tasks.
醫囑模組350與資料庫模組340資訊連接，是本發明的核心技術元件，可以執行下述的一些作業。首先，醫囑模組350可提出關於病徵詢問的一個問卷題目組合或由醫療端操作裝置400指定與一醫囑有關的一個問卷題目組合作為該調查問卷，並發送給患者端操作裝置200。這個操作分為兩個部分：提出關於病徵詢問的問卷題目組合用於患者20就醫前，讓患者20回答病徵詢問專用的調查問卷後，醫生可以約略了解患者20的睡眠障礙的發生原因，作為就醫的前測作業；由醫療端操作裝置400指定與一醫囑有關的問卷題目組合用於患者20就醫後，讓患者20回答與執行該醫囑有關的調查問卷，可以讓醫生了解患者20當下的徵狀是否有減輕或變化，作為療程修改或執行的依據，可作為就醫的後測作業。 The doctor's request module 350 is connected to the database module 340 and is the core technical element of the present invention. It can perform the following operations. First, the doctor's request module 350 can propose a questionnaire question combination about symptom inquiry or the medical end operating device 400 can specify a questionnaire question combination related to a doctor's request as the survey questionnaire and send it to the patient end operating device 200. This operation is divided into two parts: a questionnaire set about symptom inquiry is proposed for patient 20 before seeing a doctor. After patient 20 answers the questionnaire for symptom inquiry, the doctor can roughly understand the cause of patient 20's sleep disorder as a pre-test operation before seeing a doctor; a questionnaire set related to a medical order is specified by the medical end operation device 400 for patient 20 after seeing a doctor. After patient 20 sees a doctor, patient 20 answers the questionnaire related to the execution of the medical order, so that the doctor can understand whether the current symptoms of patient 20 have been alleviated or changed, which can be used as a basis for modifying or executing the treatment course, and can be used as a post-test operation for seeing a doctor.
醫囑模組350的第二個執行作業是將接收的患者日誌及回覆資料傳送至醫療端操作裝置400，讓醫生即時了解到患者20的病徵及執行醫囑的情況。 The second operation of the medical instruction module 350 is to transmit the received patient log and response data to the medical end operation device 400, so that the doctor can immediately understand the symptoms of the patient 20 and the status of the medical instruction.
醫囑模組350的第三個執行作業是若接收的回覆資料中對各問卷題目的答案為對應的預期結果組合的預期結果佔該問卷題目總數量之比例大於一門檻值，及/或該生理體徵數據的平均值落於對應的生理體徵數據合理區間時，向醫療端操作裝置400發出對應的報告初稿，並將該報告初稿在醫療端操作裝置400進行修改或確認後，定為一醫事報告發給患者端操作裝置200。舉例來說，當門檻值設為80%時，也就是回覆資料對應問卷題目組合中的問卷題目有80%以上落在預期結果時，表示患者20在接受醫生的治療後有照實做，因而取得一定的成效且生理體徵數據正常，可以發醫事報告結案了，報告初稿就會發給醫療端操作裝置400進行修改及定案。然而，這是理想情況。一般患者都希望看見醫事報告，那麼醫囑模組350也可以調整發出報告初稿的條件，至比例大於該門檻值及生理體徵數據的平均值落於合理區間兩者其一滿足即可，甚至是降低門檻值。門檻值是一種篩檢患者20是否有跟進醫囑的技術手段。由於跟進醫囑的問卷題目組合已經包含了醫生對患者20確實執行醫囑的期待，如果佔比結果低於門檻值，代表患者20可能沒有完全執行醫囑，那麼就必須執行醫囑模組350的第四個執行作業。舉例而言，如果醫生交代患者20每天必須晚上11點前上床睡覺以改善睡眠不足的問題，但是患者回覆資料顯示他還是感到睡不夠，不符預期結果組合中低於門檻值的比例，醫師可根據資料研判患者20還是習慣性晚睡，並非治療計畫有問題，可能要再進一步溝通喚起患者的自律性，或者是必須更換治療計畫。 The third operation of the medical instruction module 350 is to send a corresponding draft report to the medical end operating device 400 if the proportion of the expected results of the corresponding expected result combination of the answers to the questionnaire questions in the received response data to the total number of questionnaire questions is greater than a threshold value, and/or the average value of the physiological sign data falls within the reasonable range of the corresponding physiological sign data, and after the draft report is modified or confirmed by the medical end operating device 400, it is determined as a medical report and sent to the patient end operating device 200. For example, when the threshold is set to 80%, that is, when more than 80% of the questionnaire questions in the questionnaire question combination corresponding to the response data fall within the expected results, it means that the patient 20 has followed the doctor's treatment and has achieved certain results and the physiological sign data is normal. The medical report can be issued and the case can be closed. The draft report will be sent to the medical end operating device 400 for modification and finalization. However, this is an ideal situation. Generally, patients want to see the medical report, so the medical order module 350 can also adjust the conditions for issuing the draft report to meet one of the two conditions: the ratio is greater than the threshold value and the average value of the physiological sign data falls within a reasonable range, or even lower the threshold value. The threshold value is a technical means to screen whether the patient 20 has followed up the medical order. Since the questionnaire combination for following up on the medical order already includes the doctor's expectation that patient 20 actually implements the medical order, if the percentage result is lower than the threshold, it means that patient 20 may not have fully implemented the medical order, and the fourth operation of the medical order module 350 must be performed. For example, if the doctor tells patient 20 that he must go to bed before 11 pm every day to improve the problem of insufficient sleep, but the patient's reply data shows that he still feels insufficient sleep, which does not meet the percentage below the threshold in the expected result combination, the doctor can judge based on the data that patient 20 is still habitually sleeping late, and there is no problem with the treatment plan. It may be necessary to further communicate with the patient to arouse his self-discipline, or the treatment plan must be changed.
醫囑模組350的第四個執行作業是若接收的回覆資料中對各問卷題目的答案為對應的預期結果組合的預期結果佔該問卷題目總數量之比例小於該門檻值，且生理體徵數據的平均值未落於對應的生理體徵數據合理區間時，通知患者端操作裝置200執行一輔助療程。執行這第四個執行作業的前提是，兩個可發 出報告初稿的條件都不符合，醫生需要用行為調整的方式來強制患者20進行治療。輔助療程也是一種患者認知行為治療的過程。輔助療程包含了以下幾個步驟。第一步驟：透過應用程式顯示一指定行為以通知患者20執行。指定行為可以是醫囑模組350預設的，也可以是醫生透過醫療端操作裝置400即時為患者20設定的。比如，通知患者20晚上10點開始遠離3C產品，到睡覺前都不要接觸。然而，患者20可能不見得會執行，或執行不力。第二步驟：透過應用程式通知患者20於執行該指定行為後的一指定時段內，將生理感受以選單挑選或手動輸入方式透過該應用程式回傳醫囑模組350。比如在隔天早上8點以後，藉由患者端操作裝置200回傳他昨晚不接觸3C產品，對於睡眠有怎樣的改善。第三步驟：將選單挑選或手動輸入的結果以及生理體徵數據蒐集裝置100於該指定時段前記錄的生理體徵數據，發給醫療端操作裝置400。如此，醫生可以比對生理體徵數據與患者20的生理感受描述，判斷患者20藉由醫囑外的改善措施成效如何，也可了解患者20是否願意執行醫生醫囑。畢竟，如果善意的強制行為還無法有具體的生理體徵數據改善，可能證明患者20沒有確實與醫生互動，那接下來再有效的療程，對於患者20來說也無意義。如果醫生判斷他發出的任務(執行指定行為)有成，那他可以設定新目標，如通知患者20晚上8點開始遠離3C產品，到睡覺前都不要接觸，透過應用程式顯示前述指定行為以通知患者20執行。藉由第二步驟與第三步驟，再檢視一次結果。如此不斷改變給予患者的任務並調整下次任務內容，可以良性循環地改善患者20的病況。患者20在接獲任務後，對執行任務行為的回饋，可以讓醫生與醫療專業人員藉此達到與患者20雙向互動。 The fourth operation of the doctor's instruction module 350 is to notify the patient's end operating device 200 to execute an auxiliary treatment if the proportion of the expected result combination of the answers to the questionnaire questions in the received response data corresponding to the expected result combination to the total number of questionnaire questions is less than the threshold value, and the average value of the physiological sign data does not fall within the corresponding reasonable range of the physiological sign data. The premise for executing this fourth operation is that both conditions for issuing the draft report are not met, and the doctor needs to use behavioral adjustment to force the patient 20 to undergo treatment. The auxiliary treatment is also a process of cognitive behavioral treatment for patients. The auxiliary treatment includes the following steps. Step 1: Display a specified behavior through the application to notify the patient 20 to perform. The specified behavior can be preset by the doctor's instruction module 350, or it can be set by the doctor for the patient 20 in real time through the medical-end operating device 400. For example, notify the patient 20 to stay away from 3C products from 10 pm and not to touch them before going to bed. However, the patient 20 may not necessarily perform it, or perform it poorly. Step 2: Notify the patient 20 through the application to send back the physiological feelings to the doctor's instruction module 350 through the application within a specified period of time after performing the specified behavior by selecting from a menu or manually inputting. For example, after 8 am the next day, the patient's end operating device 200 will send back how his sleep improved by not touching 3C products last night. Step 3: Send the result of the menu selection or manual input and the physiological sign data recorded by the physiological sign data collection device 100 before the specified time period to the medical end operation device 400. In this way, the doctor can compare the physiological sign data with the description of the physiological feeling of the patient 20 to determine the effectiveness of the improvement measures taken by the patient 20 outside the doctor's order, and also understand whether the patient 20 is willing to implement the doctor's order. After all, if the well-intentioned compulsory behavior still cannot have specific improvement in physiological sign data, it may prove that the patient 20 has not really interacted with the doctor, and then the subsequent effective treatment course will be meaningless to the patient 20. If the doctor judges that the task he issued (performing the specified behavior) is successful, he can set a new goal, such as notifying the patient 20 to stay away from 3C products from 8 pm and not to touch them before going to bed, and display the aforementioned specified behavior through the application to notify the patient 20 to perform. Through the second and third steps, review the results again. In this way, constantly changing the tasks given to the patient and adjusting the content of the next task can improve the patient 20's condition in a virtuous cycle. After receiving the task, the patient 20's feedback on the execution of the task behavior can allow doctors and medical professionals to achieve a two-way interaction with the patient 20.
前面提及，指定行為可以是醫囑模組350預設的。為此，醫囑模組350可進一步包含以下子模組，以針對不同學理於治療睡眠障礙上的應用，提出不同的指定行為。該些子模組為一神經反饋訓練模式子模組351、一生物反饋訓練模式子模組352及一多向訓練模式子模組353。神經反饋訓練模式子模組351提供用 以訓練腦波在容易放鬆的波形的指定行為；藉由不同的生理活動，比如冥想，來引導及訓練腦波。讓特定行為調整生理運作，進而達到改善睡眠障礙的效果，而這效果可即時顯現於偵測的生理體徵數據。生物反饋訓練模式子模組352提供用以調整訓練自律神經調控能力，透過呼吸練習，在練習過程中觀察自己的呼吸品質和過程，讓身體的交感模式能夠切換到副交感模式的指定。多向訓練模式子模組353是在諸多影響因子，如生活型態、營養飲食、運動習慣、身體保健、情緒個性、人際情感、工作職場與睡眠環境中，以調整現有的運作型態作為指定行為。比如患者20十分不注重運動，因此可要求他每天晚餐後步行30分鐘。然而，要注意的是，各子模組提供的指定行為也是因人而異，可視前期調查問卷與患者日誌具體反映患者的特質而異。子模組中可應用人工智能於廣大的病患資料中找出最適的對應關係。同時，要以哪一個子模組提供前述的指定行為，可以由醫師設定。 As mentioned above, the designated behavior can be preset by the doctor's advice module 350. To this end, the doctor's advice module 350 can further include the following sub-modules to propose different designated behaviors for the application of different theories in the treatment of sleep disorders. These sub-modules are a neural feedback training mode sub-module 351, a biological feedback training mode sub-module 352, and a multi-directional training mode sub-module 353. The neural feedback training mode sub-module 351 provides designated behaviors for training brain waves in a wave shape that is easy to relax; through different physiological activities, such as meditation, to guide and train brain waves. Allowing specific behaviors to adjust physiological operations, thereby achieving the effect of improving sleep disorders, and this effect can be immediately reflected in the detected physiological sign data. The biofeedback training mode submodule 352 provides for adjusting and training the autonomic nervous system's regulatory ability. Through breathing exercises, the patient can observe his or her own breathing quality and process during the exercise, so that the body's sympathetic mode can be switched to the designated parasympathetic mode. The multi-directional training mode submodule 353 is to adjust the existing operating mode as a designated behavior among many influencing factors, such as lifestyle, nutrition and diet, exercise habits, physical health, emotional personality, interpersonal emotions, workplace and sleep environment. For example, patient 20 does not pay much attention to exercise, so he or she can be asked to walk for 30 minutes after dinner every day. However, it should be noted that the designated behaviors provided by each submodule also vary from person to person, depending on the characteristics of the patient reflected in the preliminary survey questionnaire and the patient's diary. Artificial intelligence can be applied in the sub-module to find the most appropriate corresponding relationship in the vast patient data. At the same time, the doctor can set which sub-module to provide the aforementioned specified behavior.
對於醫生來說，許多檢測報告，比如基因檢測報告或健康檢查報告，可供他作為判斷睡眠障礙誘發原因的參考依據。通過本系統的運作，醫生也可以取得該檢測報告。作法是：患者端操作裝置200透過該應用程式接收一檢測報告，並將該檢測報告通過醫囑模組350傳送至醫療端操作裝置400。醫生於醫療端操作裝置400接收該檢測報告後，即可閱讀。 For doctors, many test reports, such as gene test reports or health check reports, can be used as references for determining the causes of sleep disorders. Through the operation of this system, doctors can also obtain the test reports. The method is: the patient-side operating device 200 receives a test report through the application, and transmits the test report to the medical-side operating device 400 through the doctor's instruction module 350. After the doctor receives the test report on the medical-side operating device 400, he can read it.
雖然本發明已以實施方式揭露如上，然其並非用以限定本發明，任何所屬技術領域中具有通常知識者，在不脫離本發明之精神和範圍內，當可作些許之更動與潤飾，因此本發明之保護範圍當視後附之申請專利範圍所界定者為準。 Although the present invention has been disclosed in the form of implementation as above, it is not intended to limit the present invention. Anyone with ordinary knowledge in the relevant technical field can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of the patent application attached hereto.
10:網路 10: Internet
20:患者 20: Patient
100:生理體徵數據蒐集裝置 100: Physiological sign data collection device
110:偵測模組 110: Detection module
120:第一藍芽傳輸模組 120: The first Bluetooth transmission module
200:患者端操作裝置 200: Patient-side operating device
210:第二藍芽傳輸模組 210: Second Bluetooth transmission module
220:傳輸模組 220: Transmission module
230:螢幕 230: Screen
300:伺服器 300: Server
310:網路通訊界面 310: Network communication interface
320:應用程式介面模組 320: Application Programming Interface Module
330:分析數據模組 330:Analysis data module
340:資料庫模組 340: Database module
350:醫囑模組 350: Medical advice module
351:神經反饋訓練模式子模組 351:Neural feedback training mode submodule
352:生物反饋訓練模式子模組 352: Biofeedback training mode submodule
353:多向訓練模式子模組 353: Multi-directional training mode submodule
400:醫療端操作裝置 400: Medical operation device
Claims (9)
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW111143463A TWI853342B (en) | 2022-11-15 | 2022-11-15 | Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders |
| CN202311522195.1A CN117690577A (en) | 2022-11-15 | 2023-11-15 | Sleep disorder auxiliary diagnosis and medical order effectiveness tracking system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW111143463A TWI853342B (en) | 2022-11-15 | 2022-11-15 | Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW202422576A TW202422576A (en) | 2024-06-01 |
| TWI853342B true TWI853342B (en) | 2024-08-21 |
Family
ID=90137958
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW111143463A TWI853342B (en) | 2022-11-15 | 2022-11-15 | Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN117690577A (en) |
| TW (1) | TWI853342B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119027064A (en) * | 2024-10-23 | 2024-11-26 | 光宝联合(北京)科技股份有限公司 | A terminal management system for the Internet of Things |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793593A (en) * | 2013-11-15 | 2014-05-14 | 吴一兵 | Third life maintenance mode and longevity quantification traction information exchanging method and implementation thereof |
| CN112386224A (en) * | 2019-08-14 | 2021-02-23 | 徐文雄 | Sleep health management system |
| CN113724869A (en) * | 2021-08-17 | 2021-11-30 | 北京大学 | Physical and mental health assessment and feedback method, device and system |
| TW202233123A (en) * | 2021-02-24 | 2022-09-01 | 臺北醫學大學 | Sleep quality assessment system and method |
-
2022
- 2022-11-15 TW TW111143463A patent/TWI853342B/en active
-
2023
- 2023-11-15 CN CN202311522195.1A patent/CN117690577A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793593A (en) * | 2013-11-15 | 2014-05-14 | 吴一兵 | Third life maintenance mode and longevity quantification traction information exchanging method and implementation thereof |
| CN112386224A (en) * | 2019-08-14 | 2021-02-23 | 徐文雄 | Sleep health management system |
| TW202233123A (en) * | 2021-02-24 | 2022-09-01 | 臺北醫學大學 | Sleep quality assessment system and method |
| CN113724869A (en) * | 2021-08-17 | 2021-11-30 | 北京大学 | Physical and mental health assessment and feedback method, device and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117690577A (en) | 2024-03-12 |
| TW202422576A (en) | 2024-06-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12380346B2 (en) | Artificial intelligence and/or virtual reality for activity optimization/personalization | |
| Park et al. | Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial | |
| Liang et al. | Development of an EOG-based automatic sleep-monitoring eye mask | |
| ES2253393T3 (en) | SYSTEM TO CONTROL HEALTH, WELFARE AND EXERCISE. | |
| KR102687844B1 (en) | Systems and methods for associating symptoms with medical conditions | |
| US20060183980A1 (en) | Mental and physical health status monitoring, analyze and automatic follow up methods and its application on clothing | |
| Tavares et al. | The intersection of artificial intelligence, telemedicine, and neurophysiology: opportunities and challenges | |
| JP2017225823A (en) | Contactless and minimal-contact measurement of qol parameters for assessment and intervention | |
| CN106108846A (en) | A kind of intelligent drug risk monitoring method and system | |
| EP4124287A1 (en) | Regularized multiple-input pain assessment and trend | |
| TWI853342B (en) | Tracking system for auxiliary diagnosis of sleep disorders and effectiveness of doctor’s orders | |
| US20220280105A1 (en) | System and method for personalized biofeedback from a wearable device | |
| TWM639333U (en) | Auxiliary diagnosis and doctor advice effectiveness tracking system for sleep disorders | |
| Zhu et al. | Telemedicine for obstructive sleep apnea syndrome: An updated review | |
| Bladt et al. | Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review | |
| Fiorentino et al. | Addressing vicious cycle of medical distress with augmented reality: state-of-the-art review | |
| Duker et al. | Feasibility of wearable sensors in the NICU: psychophysiological measures of parental stress | |
| Moore et al. | US Health care technologies | |
| KR102874644B1 (en) | Healthcare system using wearable band user information | |
| TW202106231A (en) | Sleep health management system | |
| US20180113991A1 (en) | Interactive Apparatus and Devices for Personal Symptom Management and Therapeutic Treatment Systems | |
| Kressbach | Meditation and Breathing Technologies and the Biomedicalization of Wellness | |
| McKinley et al. | Long-Term Outcomes: Sleep in Survivors of Critical Illness | |
| Tonelli et al. | Remote Assessment of the Respiratory and Cardiovascular Systems | |
| Chanda et al. | Assessment of Real-time IoT-powered Wearables for Stress Level Detection and Therapy Support |