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WO2017005016A1 - Système et procédé pour la surveillance de paramètres physiologiques - Google Patents

Système et procédé pour la surveillance de paramètres physiologiques Download PDF

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Publication number
WO2017005016A1
WO2017005016A1 PCT/CN2016/077469 CN2016077469W WO2017005016A1 WO 2017005016 A1 WO2017005016 A1 WO 2017005016A1 CN 2016077469 W CN2016077469 W CN 2016077469W WO 2017005016 A1 WO2017005016 A1 WO 2017005016A1
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WO
WIPO (PCT)
Prior art keywords
subject
signal
information
signals
combination
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/077469
Other languages
English (en)
Inventor
Chuanmin WEI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Vita Course Technologies Co Ltd
Original Assignee
Vita Course Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from PCT/CN2015/083334 external-priority patent/WO2016155138A1/fr
Priority claimed from PCT/CN2016/070017 external-priority patent/WO2016107607A1/fr
Priority to CN201680038198.XA priority Critical patent/CN107847158B/zh
Priority to US15/741,278 priority patent/US10932680B2/en
Priority to CN202110490650.9A priority patent/CN113080878B/zh
Application filed by Vita Course Technologies Co Ltd filed Critical Vita Course Technologies Co Ltd
Publication of WO2017005016A1 publication Critical patent/WO2017005016A1/fr
Priority to US16/089,362 priority patent/US11185242B2/en
Priority to CN201780020746.0A priority patent/CN109152539B/zh
Priority to CN202111021570.5A priority patent/CN113712522A/zh
Priority to EP17773043.9A priority patent/EP3435852A4/fr
Priority to PCT/CN2017/076702 priority patent/WO2017167013A1/fr
Anticipated expiration legal-status Critical
Priority to US17/136,057 priority patent/US11957440B2/en
Priority to US17/456,644 priority patent/US11712168B2/en
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
    • A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/33—Heart-related electrical modalities, e.g. electrocardiography [ECG] specially adapted for cooperation with other devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]

Definitions

  • FIG. 6 is a block diagram illustrating an architecture of an analysis module according to some embodiments of the present disclosure.
  • FIG. 12 depicts the architecture of a computer that may be used to implement a specialized system or a part thereof incorporating the present disclosure.
  • Exemplary dynamic data may include a current health condition of a subject, medications the subject is taking, a medical treatment the subject is undertaking, diet, physiological signals or parameters (for example, pulse transit time (PTT) , systolic blood pressure (SBP) , diastolic blood pressure (DBP) , or the like) relating to the subject for multiple time points or over a period of time, or the like, or a combination thereof.
  • physiological signals or parameters for example, pulse transit time (PTT) , systolic blood pressure (SBP) , diastolic blood pressure (DBP) , or the like
  • PTT pulse transit time
  • SBP systolic blood pressure
  • DBP diastolic blood pressure
  • the SoC may also include other components including, for example, a timing source (for example, an oscillator, a phase-locked loop, or the like) , a voltage regulator, a power management circuit, or the like, or a combination thereof.
  • a timing source for example, an oscillator, a phase-locked loop, or the like
  • the external data source 130 may receive data from the measuring device 110, the sever 120, the terminal 140, or the like, or any combination by the network 150.
  • the external data source 130 may receive information relating to a subject (for example, location information, data from the cloud sever or a terminal, or the like, or a combination thereof) based on the data received from the measuring devices 110 or the terminals 140.
  • the measuring device 110 may receive data from the sever 120, the external data source 130, or the like, or any combination, via the network 150.
  • the information acquisition module 210 may receive information provided by a subject or a user other than the subject via, for example, an input device.
  • the input device may include but is not limited to a keyboard, a touch screen (for example, with haptics or tactile feedback) , a speech input device, an eye tracking input device, a brain monitoring system, or the like, or a combination thereof.
  • the information received through the input device may be transmitted to a processor, via, for example, a bus, for further processing.
  • the processor for further processing the information obtained from the input device may be a digital signal processor (DSP) , a SoC (system on the chip) , or a microprocessor, or the like, or the combination thereof.
  • DSP digital signal processor
  • SoC system on the chip
  • microprocessor or the like, or the combination thereof.
  • Other types of input device may include cursor control device, such as a mouse, trackball, or cursor direction keys to convey information about direction and/or command selections, for example, to the processor.
  • the output module 230 may include or communicate with a display device that may display output or other information to a subject or a user other than the subject.
  • the display device may include a liquid crystal display (LCD) , a light emitting diode (LED) -based display, or any other flat panel display, or may use a cathode ray tube (CRT) , a touch screen, or the like.
  • a touch screen may include, for example, a resistance touch screen, a capacity touch screen, a plasma touch screen, a vector pressure sensing touch screen, an infrared touch screen, or the like, or a combination thereof.
  • the engine 200 does not include a storage module or a storage unit, and the peripheral equipment 240 or the server 120 may be used as a storage device accessible by the engine 200.
  • the server 120 may be a cloud server providing cloud storage.
  • cloud storage is a model of data storage where digital data are stored in logical pools, physical storage spanning multiple servers (and often located at multiple locations) .
  • the physical environment including, for example, the logical pools, the physical storage spanning multiple servers may be owned and managed by a hosting company.
  • the hosting company may be responsible for keeping the data available and accessible, and the physical environment protected and running.
  • Such cloud storage may be accessed through a cloud service, a web service application programming interface (API) , or by applications that utilize the API.
  • API application programming interface
  • the output may be displayed to the subject or a user other than the subject, printed, stored in a storage device or the server 120, transmitted to a device further process, or the like, or a combination thereof. It should be noted that after analysis in step 320, a new acquisition step may be performed in step 310.
  • Exemplary methods that may be employed in the recognition unit 620 may include a threshold method, a syntactic approach of pattern recognition, Gaussian function depression, wavelet transform, a QRS complex detection, a linear discriminant analysis, a quadratic discriminatory analysis, a decision tree, a decision table, a near neighbor classification, a wavelet neural networks algorithm, a support vector machine, gene expression programming, hierarchical clustering, a mean cluster analysis, a Bayesian network algorithm, a principal component analysis, a Kalman filter, Gaussian regression, linear regression, Hidden Markov Model, association rules, an inductive logic method, or the like, or any combination thereof.
  • Various methods may be used in parallel or may be used in combination.
  • the recognition unit may use two different methods when processing two types of signals.
  • the recognition unit may use two different methods, e.g., one method after another, when processing one type of signal.
  • the calculation unit 630 may be configured for performing various calculations to determine, e.g., coefficients of a model or function relating to a physiological parameter of interest, the physiological parameter of interest, or the like, or a combination thereof. For instance, the calculation unit 630 may be configured for calculating, e.g., different coefficients of a model or function relating to a physiological parameter of interest, different coefficients of different models or functions illustrating the correlation of a physiological parameter of interest and one or more measurable signals or other information. The calculation unit 630 may include one or more calculation sub-units (not shown in FIG. 6) to perform the calculations.
  • FIG. 7 is a block diagram illustrating an architecture of the calibration unit 640 according to some embodiments of the present disclosure.
  • the calibration unit 640 may be configured for acquiring one or more sets of calibration data.
  • the calibration unit 640 may perform a calibration process regarding a physiological parameter of interest, e.g., blood pressure.
  • the calibration unit 640 may include, without limitations to, a pneumatic device 710, a controller 720, a storage 730, and a transceiver 740.
  • the measurement may be performed automatically according to, for example, a default setting of the system, a preset instruction by the subject or a user other than the subject (e.g., a doctor) .
  • the measurement may be performed at a certain time interval, e.g., 15 minutes, 30 minutes, 1 hour, 2 hours, 5 hours, 10 hours, 12 hours, a day, two days, a week, two weeks, a month, two months, or the like.
  • the measurement may be performed in real time.
  • the measurement may be performed manually by the subject or a user other than the subject (e.g., a doctor) .
  • the system may proceed to step 913 to acquire a set of calibration data.
  • the calibration data may include SBP0, DBP0, PTT0, PTTV0, HRV0, or the like, or a combination thereof.
  • the set of calibration data may be acquired by the calibration unit 640, or may be acquired by a healthcare provider, or may be acquired by the peripheral equipment 240, or the like.
  • the acquisition of the set of calibration data may be triggered automatically or artificially.
  • the calibration data may be acquired automatically at a certain time interval (e.g., 15 minutes, 30 minutes, or the like) .
  • aspects of the methods of the blood pressure monitoring and/or other processes may be embodied in programming.
  • Program aspects of the technology may be thought of as “products” or “articles of manufacture” typically in the form of executable code and/or associated data that is carried on or embodied in a type of machine readable medium.
  • Tangible non-transitory “storage” type media include any or all of the memory or other storage for the computers, processors, or the like, or associated modules thereof, such as various semiconductor memories, tape drives, disk drives and the like, which may provide storage at any time for the software programming.
  • Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer (s) or the like, which may be used to implement the system or any of its components as shown in the drawings.
  • Volatile storage media include dynamic memory, such as a main memory of such a computer platform.
  • Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that form a bus within a computer system.
  • Carrier-wave transmission media may take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Vascular Medicine (AREA)
  • Physiology (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

La présente invention porte sur un dispositif, un procédé et un système (100) pour calculer, estimer ou surveiller les paramètres physiologiques d'un sujet. Au moins un processeur, quand il exécute des instructions, peut exécuter une ou plusieurs des opérations suivantes : réception d'un premier signal représentant une onde pulsée relative à l'activité cardiaque d'un sujet, réception d'une pluralité de deuxièmes signaux représentant une information variant dans le temps, portant sur l'onde pulsée, détermination d'un niveau d'oxygène sanguin du sujet sur la base de la pluralité de deuxièmes signaux, identification d'une première particularité dans le premier signal, identification d'une deuxième particularité dans l'un de la pluralité de deuxièmes signaux, calcul d'un temps de transit d'impulsion sur la base d'une différence entre la première particularité et la deuxième particularité, calcul d'une pression artérielle du sujet sur la base du temps de transit d'impulsion.
PCT/CN2016/077469 2015-03-31 2016-03-28 Système et procédé pour la surveillance de paramètres physiologiques Ceased WO2017005016A1 (fr)

Priority Applications (10)

Application Number Priority Date Filing Date Title
CN201680038198.XA CN107847158B (zh) 2015-03-31 2016-03-28 用于生理参数监测的系统和方法
US15/741,278 US10932680B2 (en) 2015-03-31 2016-03-28 System and method for physiological parameter monitoring
CN202110490650.9A CN113080878B (zh) 2015-03-31 2016-03-28 用于生理参数监测的系统和方法
US16/089,362 US11185242B2 (en) 2015-03-31 2017-03-15 System and method for physiological feature derivation
PCT/CN2017/076702 WO2017167013A1 (fr) 2015-03-31 2017-03-15 Système et procédé de dérivation de caractéristique physiologique
EP17773043.9A EP3435852A4 (fr) 2016-03-28 2017-03-15 Système et procédé de dérivation de caractéristique physiologique
CN202111021570.5A CN113712522A (zh) 2015-03-31 2017-03-15 用于生理特征推导的系统和方法
CN201780020746.0A CN109152539B (zh) 2015-03-31 2017-03-15 用于生理特征推导的系统和方法
US17/136,057 US11957440B2 (en) 2015-03-31 2020-12-29 System and method for physiological parameter monitoring
US17/456,644 US11712168B2 (en) 2015-03-31 2021-11-29 System and method for physiological feature derivation

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
PCT/CN2015/083334 WO2016155138A1 (fr) 2015-03-31 2015-07-03 Système et procédé de surveillance de la pression artérielle
CNPCT/CN2015/083334 2015-07-03
CNPCT/CN2015/096498 2015-12-05
PCT/CN2015/096498 WO2016155348A1 (fr) 2015-03-31 2015-12-05 Système et procédé pour la surveillance de paramètres physiologiques
PCT/CN2016/070017 WO2016107607A1 (fr) 2015-01-04 2016-01-04 Système et procédé de surveillance de santé
CNPCT/CN2016/070017 2016-01-04

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US15/741,278 A-371-Of-International US10932680B2 (en) 2015-03-31 2016-03-28 System and method for physiological parameter monitoring
US17/136,057 Continuation US11957440B2 (en) 2015-03-31 2020-12-29 System and method for physiological parameter monitoring

Publications (1)

Publication Number Publication Date
WO2017005016A1 true WO2017005016A1 (fr) 2017-01-12

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PCT/CN2016/077469 Ceased WO2017005016A1 (fr) 2015-03-31 2016-03-28 Système et procédé pour la surveillance de paramètres physiologiques

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107088063A (zh) * 2017-05-19 2017-08-25 北京麦迪克斯科技有限公司 基于光特征的生理信息采集装置及方法
WO2017167013A1 (fr) * 2015-03-31 2017-10-05 Vita-Course Technologies (Hainan) Co., Ltd Système et procédé de dérivation de caractéristique physiologique
WO2019019119A1 (fr) * 2017-07-27 2019-01-31 Vita-Course Technologies (Hainan) Co., Ltd. Systèmes et procédés de détermination de la pression artérielle d'un sujet
WO2019179175A1 (fr) * 2018-03-21 2019-09-26 杭州兆观传感科技有限公司 Anneau extensible de surveillance de paramètres physiologiques multiples
CN110840436A (zh) * 2018-11-15 2020-02-28 深圳市松恩电子科技有限公司 获取心电信号的方法、装置、终端和计算机可读存储介质
CN111374678A (zh) * 2018-12-29 2020-07-07 深圳迈瑞生物医疗电子股份有限公司 一种双通道血氧测量的方法及装置
CN113133762A (zh) * 2021-03-03 2021-07-20 刘欣刚 一种无创血糖预测方法及装置
EP3705032A4 (fr) * 2017-11-03 2021-11-24 Deepmedi Inc. Procédé et système de fourniture d'informations médicales basé sur une api ouverte
US20220028553A1 (en) * 2015-10-13 2022-01-27 Salu Design Group Inc. Wearable health monitors and methods of monitoring health
CN115426945A (zh) * 2020-04-21 2022-12-02 柯惠有限合伙公司 用于确定氧饱和度水平的基于ai的方法
CN115988985A (zh) * 2020-06-26 2023-04-18 艾图传感有限公司 用于补偿外周动脉张力的评估的装置和方法
US11672430B2 (en) 2015-01-04 2023-06-13 Vita-Course Technologies Co., Ltd. System and method for health monitoring
CN119632520A (zh) * 2025-01-24 2025-03-18 中国人民解放军总医院第四医学中心 一种非接触式用户状态监测系统及方法

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Cited By (26)

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US11672430B2 (en) 2015-01-04 2023-06-13 Vita-Course Technologies Co., Ltd. System and method for health monitoring
US11540735B2 (en) 2015-03-31 2023-01-03 Vita-Course Technologies Co., Ltd. System and method for physiological parameter monitoring
WO2017167013A1 (fr) * 2015-03-31 2017-10-05 Vita-Course Technologies (Hainan) Co., Ltd Système et procédé de dérivation de caractéristique physiologique
US12076125B2 (en) 2015-03-31 2024-09-03 Vita-Course Technologies Co., Ltd. System and method for blood pressure monitoring
US11957440B2 (en) 2015-03-31 2024-04-16 Vita-Course Technologies Co., Ltd. System and method for physiological parameter monitoring
US11712168B2 (en) 2015-03-31 2023-08-01 Vita-Course Technoloaies (Hainan) Co., Ltd. System and method for physiological feature derivation
US11185242B2 (en) 2015-03-31 2021-11-30 Vita-Course Technologies (Hainan) Co., Ltd. System and method for physiological feature derivation
US10799127B2 (en) 2015-03-31 2020-10-13 Vita-Course Technologies Co., Ltd. System and method for physiological parameter monitoring
US10932680B2 (en) 2015-03-31 2021-03-02 Vita-Course Technologies Co., Ltd. System and method for physiological parameter monitoring
US11134853B2 (en) 2015-03-31 2021-10-05 Vita-Course Technologies Co., Ltd. System and method for blood pressure monitoring
US20220028553A1 (en) * 2015-10-13 2022-01-27 Salu Design Group Inc. Wearable health monitors and methods of monitoring health
US11848102B2 (en) * 2015-10-13 2023-12-19 Health Gauge Inc. Wearable health monitors and methods of monitoring health
CN107088063A (zh) * 2017-05-19 2017-08-25 北京麦迪克斯科技有限公司 基于光特征的生理信息采集装置及方法
CN111194180A (zh) * 2017-07-27 2020-05-22 长桑医疗（海南）有限公司 确定受试者的血压的系统和方法
WO2019019119A1 (fr) * 2017-07-27 2019-01-31 Vita-Course Technologies (Hainan) Co., Ltd. Systèmes et procédés de détermination de la pression artérielle d'un sujet
US11207008B2 (en) 2017-07-27 2021-12-28 Vita-Course Technologies (Hainan) Co., Ltd. Method and system for detecting the oxygen saturation within the blood
US11504034B2 (en) 2017-07-27 2022-11-22 Vita-Course Digital Technologies (Tsingtao) Co., Ltd. Systems and methods for determining blood pressure of a subject
EP3705032A4 (fr) * 2017-11-03 2021-11-24 Deepmedi Inc. Procédé et système de fourniture d'informations médicales basé sur une api ouverte
WO2019179175A1 (fr) * 2018-03-21 2019-09-26 杭州兆观传感科技有限公司 Anneau extensible de surveillance de paramètres physiologiques multiples
CN110840436A (zh) * 2018-11-15 2020-02-28 深圳市松恩电子科技有限公司 获取心电信号的方法、装置、终端和计算机可读存储介质
CN111374678A (zh) * 2018-12-29 2020-07-07 深圳迈瑞生物医疗电子股份有限公司 一种双通道血氧测量的方法及装置
CN115426945A (zh) * 2020-04-21 2022-12-02 柯惠有限合伙公司 用于确定氧饱和度水平的基于ai的方法
CN115988985A (zh) * 2020-06-26 2023-04-18 艾图传感有限公司 用于补偿外周动脉张力的评估的装置和方法
CN113133762B (zh) * 2021-03-03 2022-09-30 刘欣刚 一种无创血糖预测方法及装置
CN113133762A (zh) * 2021-03-03 2021-07-20 刘欣刚 一种无创血糖预测方法及装置
CN119632520A (zh) * 2025-01-24 2025-03-18 中国人民解放军总医院第四医学中心 一种非接触式用户状态监测系统及方法

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