CN107106028B - 用于心肺睡眠阶段分类的系统和方法 - Google Patents

用于心肺睡眠阶段分类的系统和方法 Download PDF

Info

Publication number
CN107106028B
CN107106028B CN201580068802.9A CN201580068802A CN107106028B CN 107106028 B CN107106028 B CN 107106028B CN 201580068802 A CN201580068802 A CN 201580068802A CN 107106028 B CN107106028 B CN 107106028B
Authority
CN
China
Prior art keywords
parameters
cardiorespiratory
subject
activity
sleep stage
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.)
Active
Application number
CN201580068802.9A
Other languages
English (en)
Chinese (zh)
Other versions
CN107106028A (zh
Inventor
P·M·丰塞卡
龙曦
N·G·P·登特林
R·哈克玛
R·M·阿尔特斯
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.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
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
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of CN107106028A publication Critical patent/CN107106028A/zh
Application granted granted Critical
Publication of CN107106028B publication Critical patent/CN107106028B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A61B5/024—Measuring pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Measuring devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy 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
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physiology (AREA)
  • Cardiology (AREA)
  • Artificial Intelligence (AREA)
  • Pulmonology (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
CN201580068802.9A 2014-12-18 2015-12-10 用于心肺睡眠阶段分类的系统和方法 Active CN107106028B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462093430P 2014-12-18 2014-12-18
US62/093,430 2014-12-18
PCT/IB2015/059505 WO2016097945A1 (en) 2014-12-18 2015-12-10 System and method for cardiorespiratory sleep stage classification

Publications (2)

Publication Number Publication Date
CN107106028A CN107106028A (zh) 2017-08-29
CN107106028B true CN107106028B (zh) 2020-07-21

Family

ID=55069032

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201580068802.9A Active CN107106028B (zh) 2014-12-18 2015-12-10 用于心肺睡眠阶段分类的系统和方法

Country Status (5)

Country Link
US (1) US10524674B2 (enExample)
EP (1) EP3232912B1 (enExample)
JP (1) JP6720178B2 (enExample)
CN (1) CN107106028B (enExample)
WO (1) WO2016097945A1 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10624574B2 (en) 2016-06-27 2020-04-21 Koninklijke Philips N.V. Determination system and method for determining a sleep stage of a subject
US20190000375A1 (en) 2017-06-29 2019-01-03 Koninklijke Philips N.V. Method to increase ahi estimation accuracy in home sleep tests
US11185281B2 (en) * 2018-02-20 2021-11-30 Koninklijke Philips N.V. System and method for delivering sensory stimulation to a user based on a sleep architecture model
US11839485B2 (en) 2018-03-02 2023-12-12 Nitto Denko Corporation Method, computing device and wearable device for sleep stage detection
EP3809957A4 (en) 2018-06-19 2022-04-20 Mycardio LLC HEALTH SITUATION OR HEALTH STATUS ASSESSMENT SYSTEMS AND PROCEDURES
JP7067389B2 (ja) * 2018-09-24 2022-05-16 トヨタ自動車株式会社 生体状態推定装置
JP2022502153A (ja) * 2018-10-01 2022-01-11 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. 睡眠段階を決定するためのシステム及び方法
CN113228196B (zh) * 2018-12-27 2023-12-26 皇家飞利浦有限公司 用于优化用于计算睡眠得分的睡眠相关参数的系统和方法
JP7476508B2 (ja) * 2018-12-28 2024-05-01 コニカミノルタ株式会社 健康状態判定システム、健康状態判定方法及びプログラム
EP3995077B1 (en) * 2019-07-05 2024-09-04 The University of Tokyo Sleep-wakefulness determination device and program
CA3155017A1 (en) * 2019-09-21 2021-03-25 Mycardio Llc Systems and methods for designation of rem and wake states
JP7419719B2 (ja) * 2019-09-24 2024-01-23 カシオ計算機株式会社 睡眠ステージ推定装置、睡眠ステージ推定方法及びプログラム
CN110742585B (zh) * 2019-10-10 2020-12-01 北京邮电大学 基于bcg信号的睡眠分期方法
CN111631688B (zh) * 2020-06-24 2021-10-29 电子科技大学 睡眠自动分期的算法
CN113080864B (zh) * 2021-04-07 2022-02-01 电子科技大学 一种通过自动睡眠分期结果的常见睡眠疾病检测方法
EP4188198A1 (en) * 2021-10-21 2023-06-07 Google LLC Methods and systems for improving measurement of sleep data by classifying users based on sleeper type
EP4515573A1 (en) * 2022-06-03 2025-03-05 Apple Inc. Systems and methods for sleep tracking
US20230389861A1 (en) * 2022-06-03 2023-12-07 Apple Inc. Systems and methods for sleep tracking
CN116649919B (zh) * 2023-07-28 2023-11-14 华南师范大学 基于生理信号的睡眠分期预测方法、装置以及设备

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050267362A1 (en) * 2004-05-17 2005-12-01 Beth Israel Deaconess Medical Center Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
WO2006054306A2 (en) * 2004-11-22 2006-05-26 Widemed Ltd. Sleep staging based on cardio-respiratory signals
CN102665546A (zh) * 2009-07-16 2012-09-12 雷斯梅德有限公司 睡眠状况的检测
CN103584840A (zh) * 2013-11-25 2014-02-19 天津大学 基于脑电、心率变异及两者相干性的自动睡眠分期方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5732696A (en) * 1992-03-17 1998-03-31 New York University Polysomnograph scoring
CA2654095C (en) * 2006-06-01 2015-12-22 Biancamed Ltd. Apparatus, system, and method for monitoring physiological signs
US7894890B2 (en) * 2007-02-09 2011-02-22 Neuropace, Inc. Devices and methods for monitoring physiological information relating to sleep with an implantable device
US7509163B1 (en) * 2007-09-28 2009-03-24 International Business Machines Corporation Method and system for subject-adaptive real-time sleep stage classification
WO2009128000A1 (en) * 2008-04-16 2009-10-22 Philips Intellectual Property & Standards Gmbh Method and system for sleep/wake condition estimation
RU2672684C2 (ru) * 2013-01-29 2018-11-19 Конинклейке Филипс Н.В. Сенсорные стимулы для повышения точности оценки определения стадий сна

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050267362A1 (en) * 2004-05-17 2005-12-01 Beth Israel Deaconess Medical Center Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
WO2006054306A2 (en) * 2004-11-22 2006-05-26 Widemed Ltd. Sleep staging based on cardio-respiratory signals
CN102665546A (zh) * 2009-07-16 2012-09-12 雷斯梅德有限公司 睡眠状况的检测
CN103584840A (zh) * 2013-11-25 2014-02-19 天津大学 基于脑电、心率变异及两者相干性的自动睡眠分期方法

Also Published As

Publication number Publication date
EP3232912B1 (en) 2022-10-19
US20170360308A1 (en) 2017-12-21
US10524674B2 (en) 2020-01-07
JP6720178B2 (ja) 2020-07-08
WO2016097945A1 (en) 2016-06-23
JP2017537731A (ja) 2017-12-21
CN107106028A (zh) 2017-08-29
EP3232912A1 (en) 2017-10-25

Similar Documents

Publication Publication Date Title
CN107106028B (zh) 用于心肺睡眠阶段分类的系统和方法
CN107440680B (zh) 睡眠状态推定装置
Khan et al. Biometric systems utilising health data from wearable devices: Applications and future challenges in computer security
US10966666B2 (en) Machine learnt model to detect REM sleep periods using a spectral analysis of heart rate and motion
CN105813558B (zh) 用于基于睡眠周期确定睡眠阶段的系统和方法
US12023135B2 (en) Cardiopulmonary health monitoring using thermal camera and audio sensor
JP6721153B2 (ja) 生体情報分析装置、システム、及び、プログラム
TWI720215B (zh) 提供即時訊號分段和基準點對準架構的系統與方法
Rehg et al. Mobile health
JP6720179B2 (ja) 徐波睡眠検出のためのシステム及び方法
US20160302671A1 (en) Prediction of Health Status from Physiological Data
Tabatabaei et al. Methods for adventitious respiratory sound analyzing applications based on smartphones: A survey
US20210085242A1 (en) System and method for determining sleep stages based on non-cardiac body signals
Sonawani et al. Biomedical signal processing for health monitoring applications: a review
Pantelopoulos et al. Design of the new prognosis wearable system-prototype for health monitoring of people at risk
Wu et al. Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data
CN117770777A (zh) 疲劳数据处理方法、装置、电子设备及存储介质
Fahed et al. Random forest classification of breathing phases from audio signals recorded using mobile devices
US20250241546A1 (en) Systems, devices, and methods for guiding resonance breathing via biofeedback
Zabihi Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning.
Baker Development of machine learning schemes for use in non-invasive and continuous patient health monitoring
Shazwani Nor Razman et al. Systematic review: State-of-the-art in sensor-based abnormality respiration classification approaches.
CN113855018A (zh) 一种基于连续波声音信号情绪识别的方法
Fati et al. Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool. Symmetry 2021, 13, x

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant