JP6720178B2 - 心肺睡眠段階分類のためのシステム及び方法 - Google Patents

心肺睡眠段階分類のためのシステム及び方法 Download PDF

Info

Publication number
JP6720178B2
JP6720178B2 JP2017532015A JP2017532015A JP6720178B2 JP 6720178 B2 JP6720178 B2 JP 6720178B2 JP 2017532015 A JP2017532015 A JP 2017532015A JP 2017532015 A JP2017532015 A JP 2017532015A JP 6720178 B2 JP6720178 B2 JP 6720178B2
Authority
JP
Japan
Prior art keywords
cardiopulmonary activity
cardiopulmonary
subject
determining
parameter
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
JP2017532015A
Other languages
English (en)
Japanese (ja)
Other versions
JP2017537731A (ja
JP2017537731A5 (enExample
Inventor
ペドロ ミゲル フォンセカ
ペドロ ミゲル フォンセカ
シー ロン
シー ロン
テウリング ニコラース グレゴリウス ペトルス デン
テウリング ニコラース グレゴリウス ペトルス デン
レインデル ハークマ
レインデル ハークマ
ロナルダス マリア アーツ
ロナルダス マリア アーツ
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 JP2017537731A publication Critical patent/JP2017537731A/ja
Publication of JP2017537731A5 publication Critical patent/JP2017537731A5/ja
Application granted granted Critical
Publication of JP6720178B2 publication Critical patent/JP6720178B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024Measuring pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Measuring devices for evaluating the respiratory organs
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4812Detecting sleep stages or cycles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT 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)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Physiology (AREA)
  • Cardiology (AREA)
  • Artificial Intelligence (AREA)
  • Pulmonology (AREA)
  • Evolutionary Computation (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Fuzzy Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
JP2017532015A 2014-12-18 2015-12-10 心肺睡眠段階分類のためのシステム及び方法 Active JP6720178B2 (ja)

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 (3)

Publication Number Publication Date
JP2017537731A JP2017537731A (ja) 2017-12-21
JP2017537731A5 JP2017537731A5 (enExample) 2019-01-24
JP6720178B2 true JP6720178B2 (ja) 2020-07-08

Family

ID=55069032

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2017532015A Active JP6720178B2 (ja) 2014-12-18 2015-12-10 心肺睡眠段階分類のためのシステム及び方法

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
EP3454743B1 (en) 2016-06-27 2019-08-21 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
CN112088408A (zh) 2018-03-02 2020-12-15 日东电工株式会社 用于睡眠阶段检测的方法、计算设备和可穿戴设备
CN112469329B (zh) * 2018-06-19 2025-04-04 脉源有限公司 评估健康情况或状况的方法和系统
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
US12109038B2 (en) * 2018-10-01 2024-10-08 Koninklijke Philips N.V. Systems and methods for using breath events in sleep staging
JP7448542B2 (ja) * 2018-12-27 2024-03-12 コーニンクレッカ フィリップス エヌ ヴェ 睡眠スコアを算出するための睡眠関連パラメータを最適化するシステム及び方法
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
CN114040703A (zh) * 2019-07-05 2022-02-11 国立大学法人东京大学 睡眠觉醒判定装置以及程序
EP4030994A4 (en) * 2019-09-21 2023-10-11 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
JP7464759B2 (ja) * 2021-10-21 2024-04-09 グーグル エルエルシー 睡眠者タイプに基づくユーザ分類により睡眠データの測定を改善する方法およびシステム
US20230389861A1 (en) * 2022-06-03 2023-12-07 Apple Inc. Systems and methods for sleep tracking
WO2023235608A1 (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

Family Cites Families (10)

* 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
US7734334B2 (en) * 2004-05-17 2010-06-08 Beth Israel Deaconess Medical Center, Inc. Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
US7578793B2 (en) 2004-11-22 2009-08-25 Widemed Ltd. Sleep staging based on cardio-respiratory signals
EP3616611B1 (en) * 2006-06-01 2020-12-30 ResMed Sensor Technologies Limited 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
US20110034811A1 (en) 2008-04-16 2011-02-10 Koninklijke Philips Electronics N.V. Method and system for sleep/wake condition estimation
CN105342563B (zh) * 2009-07-16 2019-03-05 瑞思迈有限公司 睡眠状况的检测
EP2950707B1 (en) 2013-01-29 2017-03-15 Koninklijke Philips N.V. Sensory stimuli to increase accuracy of sleep staging
CN103584840B (zh) * 2013-11-25 2015-05-27 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
US20170360308A1 (en) 2017-12-21
JP2017537731A (ja) 2017-12-21
EP3232912A1 (en) 2017-10-25
WO2016097945A1 (en) 2016-06-23
CN107106028B (zh) 2020-07-21
CN107106028A (zh) 2017-08-29
EP3232912B1 (en) 2022-10-19
US10524674B2 (en) 2020-01-07

Similar Documents

Publication Publication Date Title
JP6720178B2 (ja) 心肺睡眠段階分類のためのシステム及び方法
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
Liaqat et al. WearBreathing: Real world respiratory rate monitoring using smartwatches
JP6720179B2 (ja) 徐波睡眠検出のためのシステム及び方法
CN107440680B (zh) 睡眠状态推定装置
Fallmann et al. Computational sleep behavior analysis: A survey
US12023135B2 (en) Cardiopulmonary health monitoring using thermal camera and audio sensor
CN105813558B (zh) 用于基于睡眠周期确定睡眠阶段的系统和方法
JP6721156B2 (ja) 生体情報分析装置、システム、及び、プログラム
Wang et al. Identification of the normal and abnormal heart sounds using wavelet-time entropy features based on OMS-WPD
Casaseca-de-la-Higuera et al. Weaning from mechanical ventilation: a retrospective analysis leading to a multimodal perspective
CN118251176A (zh) 用于管理用户的压力的方法和电子装置
US20210085242A1 (en) System and method for determining sleep stages based on non-cardiac body signals
US12138104B2 (en) Respiration rate detection methodology for nebulizers
JP2020515313A (ja) 無線信号からの睡眠段階の学習
Wu et al. Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data
US20230380719A1 (en) Method and apparatus for simultaneous collection, processing and display of audio and flow events during breathing
US20250241546A1 (en) Systems, devices, and methods for guiding resonance breathing via biofeedback
US20250082297A1 (en) Respiration rate detection methodology for nebulizers
Shazwani Nor Razman et al. Systematic review: State-of-the-art in sensor-based abnormality respiration classification approaches.
JP2024069553A (ja) 推定システム、および制御方法
Adi Developing a Transformer-Based Sleep Apnea Diagnostic Model: Addressing Multi-Dimensional Time Series Challenges in Polysomnography
Chabih et al. Human Activity Recognition in Smart Homes Using IMU Wristbands: A Comparative Study of Sampling Strategies and Machine Learning Models
Purnima et al. A Pilot Study of Wearable Respiratory Driven Right and Left Nostril Breathing

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20181207

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20181207

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20190917

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20190924

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20191211

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20200522

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20200617

R150 Certificate of patent or registration of utility model

Ref document number: 6720178

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250