CN111904719A - Intelligent paper diaper health analysis system - Google Patents

Abstract

The invention discloses an intelligent diaper health analysis system and method. The system includes diapers, a health analysis device, a cloud server, a medical terminal, and a mobile phone client. The health analysis device is attached to the diaper, and includes a detection module, a control module, a wireless transmission module, and a Bluetooth transmission module. The control module is respectively connected with the detection module, the wireless transmission module and the data line of the bluetooth transmission module, the bluetooth transmission module is connected with the mobile phone client via bluetooth, and the wireless transmission module is connected with the cloud server for communication. The cloud server includes a cloud database and an artificial intelligence diagnosis system, and the medical terminal communicates with the cloud server for doctor diagnosis. The steps of the method are: urine detection, data transmission, artificial intelligence diagnosis, doctor diagnosis, and result feedback. The invention increases the health detection function of the diaper, and combines the artificial intelligence diagnosis and the doctor's diagnosis, which is beneficial to the accuracy of the diagnosis result and the scientific and reasonable diagnosis and treatment plan.

Description

An intelligent diaper health analysis system

technical field

The invention belongs to the technical field of diaper products and intelligent medical diagnosis, and relates to an intelligent diaper health analysis system.

Background technique

Medical big data is being used more and more widely in the current social environment. With the improvement of scientific and technological level, big data has received more and more attention from the state and relevant departments. The application of medical big data to more medical research will help improve the medical level and improve the health level of patients.

In the current social environment, the aging of society is becoming more and more serious, and more energy and attention need to be devoted to the care of the elderly. For some patients who are bedridden for a long time, some medical tests are very inconvenient. At the same time, infants and young children have delicate viscera and are not yet fully developed, and are easily infected by bacteria. Once the disease occurs, the disease changes rapidly and rapidly. In addition, infants and young children cannot accurately express their physical conditions. Parents are often overwhelmed and extremely anxious. . With the help of scientific and convenient technical means, we can fully understand the physical condition of infants and young children and patients, which is conducive to allowing mothers and fathers to raise their children more scientifically, and is conducive to the rehabilitation of patients.

The daily use of diapers for infants and people who need long-term care is a good feedback carrier for their physiological information. By sampling and analyzing the excrement on the diapers, and then extracting real-time physiological information, the inspection of various indicators of the infant's body can be realized. , and a health assessment of the patient's physical condition.

The existing technology mainly has the following problems:

At present, the smart diapers on the market mainly provide urine wetness alarm, and their functions are relatively single, which cannot meet the needs of collecting and detecting physical health information and dynamic monitoring of physical health status.

The existing equipment does not specifically monitor the health of infants and young children, and infants and young children belong to vulnerable groups and need people's protection and care. Parents have little understanding of baby's health, especially physical condition and developmental characteristics, and lack professional medical knowledge related to baby's physical health.

The existing medical system can only see a doctor, and there is little long-term monitoring of the cause of the disease. Obtaining a large amount of data from subjects and applying artificial intelligence analysis technology of medical big data can provide patients with more accurate diagnosis results and more appropriate diagnosis and treatment plans.

For bedridden adults, there are multiple inconveniences in going to the hospital for a health check, especially when seeing a doctor is difficult. In some places where there is a lack of medical facilities, it is even more difficult to go to the hospital for examination. Due to various inconveniences, there are gaps in the detection and recording of various health indicators of patients, and it is difficult for doctors to understand the patient's past physical health during the treatment process. Based on the examination results and the patient's oral description, it is easy to ignore some hidden diseases, while infants and young children are easily ignored. Other groups have poor expressive ability, and it is difficult to accurately express their physical discomfort.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an intelligent diaper health analysis system in view of some problems mentioned in the background art, so as to facilitate the health monitoring and disease diagnosis and treatment of infants and people with inconvenient mobility who need long-term care.

The present invention is based on the fact that human excrement contains a large amount of physiological data. The changes in the content and proportion of various components in urine and other excrement produced by the human body can reflect the health status of the human body through the measurement of detection tools. For example, people with diabetes have high levels of glucose in their urine due to physical reasons. Daily detection of glucose levels in urine plays an important role in understanding their physical condition. For another example, the human intestinal flora has an important impact on the systemic immune response, and changes and imbalances in the intestinal flora can cause a variety of diseases. A smart diaper can be used for detection. Through the induction detection of excrement on the diaper, the content of glucose, nitrite and other indicators in urine can be monitored, and continuous health detection data of the human body can be obtained. The artificial intelligence technology is combined with the cloud. The database analyzes and compares health detection data, provides corresponding medical advice for groups in need, and can be used as a tool for doctors to assist in detection and diagnosis.

In recent years, molecular biology information detection technology has become more and more mature, providing a portable platform for detecting body functions. At the same time, the application and development of single-chip microcomputers provide conditions for the realization of chip sensors to collect response data. In the excrement detection system, in the biological information detection area, the known antigen-antibody is adsorbed on the surface of the solid-phase carrier, and the labeled antigen-antibody is bound to the solid-phase carrier to form a detection module. The development of wireless communication technology facilitates the remote interactive transmission of information, and the application of artificial intelligence and big data analysis technology is conducive to the accuracy of the analysis of test results and the scientific optimization of diagnosis and treatment plans.

The present invention specifically adopts the following technical solutions:

An intelligent diaper health analysis system, comprising diapers, a health analysis device, a cloud server, a medical terminal, and a mobile phone client, the health analysis device includes a detection module, a control module, a wireless transmission module, and a Bluetooth transmission module. On diapers and can be reused;

The detection module includes a detection agent and a sensor, and is used for detection and analysis of urine components; the control module includes a single-chip microcomputer, and the control module is respectively connected with the detection module, the wireless transmission module, and the Bluetooth transmission module through data lines, and the Bluetooth transmission module is connected to the mobile phone. The client is connected by Bluetooth, the wireless transmission module is connected to the cloud server for wireless communication, and the control module is used to receive and record the health detection data transmitted by the detection module, and send the health detection data to the mobile phone client through the Bluetooth transmission module, and transmit it through the wireless transmission module. to the cloud server;

The cloud server includes a cloud database and an artificial intelligence diagnosis system. The cloud database includes a laboratory medicine database and a clinical diagnosis database. The laboratory medicine database is used to store laboratory medicine data and user historical health detection data, and the clinical diagnosis database is used to store clinical diagnosis. data, disease model, and diagnosis and treatment plan; the artificial intelligence diagnosis system provides an artificial intelligence diagnosis result including a preliminary diagnosis report and a diagnosis and treatment plan based on health detection data, combined with cloud database information, and sends it to a medical terminal;

The medical terminal is installed on the doctor's mobile terminal and communicates with the cloud server for the doctor's diagnosis. The medical terminal provides the doctor with the patient's health detection data and the artificial intelligence diagnosis result. The doctor's diagnosis result of the diagnosis and treatment plan, and the doctor's diagnosis result is sent to the mobile phone client through the medical terminal, and synchronously fed back to the cloud server for storage, providing dynamic model, machine learning and diagnosis and treatment plan basis for the accurate diagnosis of the artificial intelligence diagnosis system;

The health analysis device further includes an induction module, which is connected to the control module and is used for real-time monitoring of the diaper wearer's urination frequency, urine volume and other data, and the control module transmits the monitoring data to the mobile phone customer through the Bluetooth transmission module. It also provides information such as urine wet alarm, urine excess alarm, and abnormal urine composition alarm, which is convenient for accompanying staff to deal with it in time.

When it is necessary to detect urine in a specific time period, the time can be set on the mobile phone client and sent to the control module through the Bluetooth transmission module, and the control detection module can periodically start the detection module for detection.

A health analysis method based on an intelligent diaper health analysis system, the implementation steps of the method are as follows:

(1) Urine detection: The health analysis device is attached to the designated position on the diaper, the user wears the diaper correctly, and when urine is discharged, the detection module is used to detect and analyze the components of the urine, and the health detection data is obtained;

(2) Data transmission: The control module receives and records the health detection data transmitted by the detection module, and sends the health detection data to the mobile phone client through the Bluetooth transmission module, and transmits it to the cloud server through the wireless transmission module;

(3) Artificial intelligence diagnosis: The artificial intelligence diagnosis system of the cloud server analyzes and obtains the artificial intelligence diagnosis result of the user's current physical health status based on the health detection data and the cloud database information;

(4) Doctor's diagnosis: The doctor calls the relevant information in the cloud server through the medical terminal, improves the artificial intelligence diagnosis result and gives the doctor's diagnosis result based on the health detection data, artificial intelligence diagnosis results and clinical diagnosis experience.

(5) Result feedback: The doctor sends the doctor's diagnosis result to the mobile client through the medical terminal, and feeds it back to the cloud server synchronously, so as to provide the basis for the dynamic model, machine learning and diagnosis and treatment plan for the accurate diagnosis of the artificial intelligence diagnosis system.

The present invention can produce the following beneficial effects: the present invention can be used for the health management of infants, adults with inconvenient mobility or people who need long-term care, increases the health detection function of traditional diapers, and is beneficial to the health monitoring of infants and people who need long-term care , which is conducive to comprehensively understanding the health status of patients, alleviating family concerns about their health, eliminating the inconvenience of hospital testing, reducing the workload of accompanying staff, enabling long-term tracking records and objectively reflecting physical health indicators. The invention combines artificial intelligence diagnosis and professional diagnosis of doctors, which is beneficial to improve the comprehensive understanding of the overall health status of patients by doctors, more accurate diagnosis results, and more scientific and reasonable diagnosis and treatment plans.

Description of drawings

The present invention will be further described below in conjunction with the accompanying drawings.

FIG. 1 is a schematic diagram of the structure of a diaper health analysis device.

FIG. 2 is a schematic diagram of a smart diaper health analysis system.

Fig. 3 is a diagram showing the implementation steps of the health analysis method based on the smart diaper health analysis system.

In the figure: 1 is a diaper, 2 is a detection module, 3 is a control module, 4 is a wireless transmission module, 5 is a Bluetooth transmission module, 6 is an induction module, 7 is a cloud server, 8 is a medical terminal, and 9 is a mobile client.

Detailed ways

The present invention will be further described below with reference to the accompanying drawings.

1 and 2, the smart diaper health analysis system includes a diaper 1, a health analysis device, a cloud server 7, a medical terminal 8, and a mobile phone client 9. The health analysis device includes a detection module 2, a control module 3, a wireless transmission module 4, The Bluetooth transmission module 5 , the sensing module 6 , and the health analysis device are attached to the middle of the diaper 1 .

The control module 3 is respectively connected with the detection module 2, the wireless transmission module 4, and the Bluetooth transmission module 5 through a data cable. The health detection data transmitted by the detection module 2 is received and recorded by the control module 3 , and the health detection data is sent to the mobile phone client 9 through the Bluetooth transmission module 5 , and transmitted to the cloud server 7 through the wireless transmission module 4 .

The cloud server 7 includes a cloud database and an artificial intelligence diagnosis system. The cloud database includes a laboratory medicine database and a clinical diagnosis database. The laboratory medicine database is used to store laboratory medicine data and user historical health detection data, and the clinical diagnosis database is used to store clinical diagnosis data, diseases Model and diagnosis and treatment plan. The artificial intelligence diagnosis system provides artificial intelligence diagnosis results including preliminary diagnosis reports and diagnosis and treatment plans based on the health detection data, combined with cloud database information, and sends them to the medical terminal 8 .

The medical terminal 8 is installed on the doctor's mobile terminal, and is connected to the cloud server 7 by wireless communication. The doctor on the side of the medical terminal 8 calls the relevant information in the cloud server 7, combines the artificial intelligence diagnosis results and clinical diagnosis experience, and gives the doctor's diagnosis result including the diagnosis report and diagnosis and treatment plan, and sends the doctor's diagnosis result to the mobile client through the medical terminal 8. 9 and synchronously feed back to the cloud server 7.

The sensing module 6 is connected with the control module 2, and is used for real-time monitoring of the frequency of urination and urine volume and monitoring data transmission. The control module 2 transmits the monitoring data to the mobile phone client 9 through the Bluetooth transmission module 5, and provides urine wet alarm, Urine excess alarm, abnormal urine composition alarm and other information.

On the mobile phone client 9, the specific time for sampling and detection can be selected and an instruction is sent to the control module 3 through the Bluetooth transmission module 5, and the control and detection module 3 periodically starts the detection module 2 for detection.

Referring to Figure 3, Figure 1, and Figure 2, the health analysis method based on the smart diaper health analysis system is as follows:

(1) Urine detection: The health analysis device is attached to the designated position on the diaper 1, the user wears the diaper 1 correctly, and when urine is discharged, the detection module 2 is used to detect and analyze the components of the urine to obtain a health test. data;

(2) data transmission: the control module 3 receives and records the health detection data transmitted by the detection module 2, and sends the health detection data to the mobile phone client 9 through the Bluetooth transmission module 5, and transmits it to the cloud server 7 through the wireless transmission module 4;

(3) Artificial intelligence diagnosis: The artificial intelligence diagnosis system of the cloud server 7 analyzes and obtains the artificial intelligence diagnosis result of the user's current physical health status based on the health detection data and the cloud database information;

(4) Doctor's diagnosis: The doctor calls the relevant information in the cloud server 7 through the medical terminal 8, improves the artificial intelligence diagnosis result and gives the doctor's diagnosis result based on the health detection data, artificial intelligence diagnosis results and clinical diagnosis experience.

(5) Result feedback: The doctor's diagnosis result is sent to the mobile phone client 9 through the medical terminal 8, and is fed back to the cloud server 7 synchronously, so as to provide the basis for the dynamic model, machine learning and diagnosis and treatment plan for the accurate diagnosis of the artificial intelligence diagnosis system.

Claims (3)

1. An intelligent paper diaper health analysis system, comprising paper diapers, a health analysis device, a cloud server, a medical terminal, and a mobile phone client; it is characterized in that: The health analysis device includes a detection module, a control module, a wireless transmission module, and a Bluetooth transmission module, and the health analysis device is attached to the diaper and can be reused; The detection module includes a detection agent and a sensor, and is used for detection and analysis of urine components; the control module includes a single-chip microcomputer, and the control module is respectively connected with the detection module, the wireless transmission module, and the Bluetooth transmission module through data lines, and the Bluetooth transmission module is connected to the mobile phone. The client is connected by Bluetooth, the wireless transmission module is connected to the cloud server for wireless communication, and the control module is used to receive and record the health detection data transmitted by the detection module, and send the health detection data to the mobile phone client through the Bluetooth transmission module, and transmit it through the wireless transmission module. to the cloud server; The cloud server includes a cloud database and an artificial intelligence diagnosis system. The cloud database includes a laboratory medicine database and a clinical diagnosis database. The artificial intelligence diagnosis system is used to provide an artificial intelligence diagnosis result according to the health detection data and the information of the cloud database. and send it to the medical terminal; The medical terminal is installed on the doctor's mobile terminal and communicates with the cloud server for the doctor's diagnosis. The medical terminal provides the doctor with the patient's health detection data and the artificial intelligence diagnosis result. The doctor's diagnosis result of the diagnosis and treatment plan, and the doctor's diagnosis result is sent to the mobile phone client through the medical terminal, and is fed back to the cloud server synchronously. 2. A smart diaper health analysis system according to claim 1, characterized in that: the health analysis device further comprises an induction module, the induction module is connected with the control module, and is used for the real-time measurement of the frequency of urination and the amount of urine. For monitoring, the control module transmits the monitoring data to the mobile phone client through the Bluetooth transmission module, and provides the alarm information of urine wetness, excess urine, and abnormal urine composition. 3. a health analysis method based on an intelligent diaper health analysis system, characterized in that: the implementation steps of the method are as follows: (1) Urine detection: The health analysis device is attached to the designated position on the diaper, the user wears the diaper correctly, and when urine is discharged, the detection module is used to detect and analyze the components of the urine; (2) Data transmission: The control module receives and records the health detection data transmitted by the detection module, and sends the health detection data to the mobile phone client through the Bluetooth transmission module, and transmits it to the cloud server through the wireless transmission module; (3) Artificial intelligence diagnosis: The artificial intelligence diagnosis system of the cloud server analyzes and obtains the artificial intelligence diagnosis result of the user's current physical health status based on the health detection data and the cloud database information; (4) Doctor's diagnosis: The doctor calls the relevant information in the cloud server through the medical terminal, and gives the doctor's diagnosis result based on the health detection data, artificial intelligence diagnosis results and clinical diagnosis experience. (5) Result feedback: The doctor's diagnosis results are sent to the mobile client through the medical terminal, and are fed back to the cloud server synchronously, providing dynamic models, machine learning and diagnosis and treatment plans for the accurate diagnosis of the artificial intelligence diagnosis system.

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