CN107106050B - 用于慢波睡眠检测的系统和方法 - Google Patents

用于慢波睡眠检测的系统和方法 Download PDF

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Publication number
CN107106050B
CN107106050B CN201580068779.3A CN201580068779A CN107106050B CN 107106050 B CN107106050 B CN 107106050B CN 201580068779 A CN201580068779 A CN 201580068779A CN 107106050 B CN107106050 B CN 107106050B
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slow wave
parameters
time
wave sleep
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CN107106050A (zh
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P·M·费雷拉多斯桑托斯达丰塞卡
龙曦
N·G·P·登特林
R·哈克玛
R·M·阿尔特斯
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Koninklijke Philips NV
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    • 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
    • A61B5/02—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
    • A61B5/72—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
    • 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
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • 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
    • 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
    • A61B5/369—Electroencephalography [EEG]
    • 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
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Cardiology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Pulmonology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
CN201580068779.3A 2014-12-18 2015-12-10 用于慢波睡眠检测的系统和方法 Active CN107106050B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462093431P 2014-12-18 2014-12-18
US62/093,431 2014-12-18
PCT/IB2015/059508 WO2016097947A1 (en) 2014-12-18 2015-12-10 System and method for slow wave sleep detection

Publications (2)

Publication Number Publication Date
CN107106050A CN107106050A (zh) 2017-08-29
CN107106050B true CN107106050B (zh) 2021-02-26

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US (1) US10856801B2 (enExample)
EP (1) EP3232913B1 (enExample)
JP (1) JP6720179B2 (enExample)
CN (1) CN107106050B (enExample)
WO (1) WO2016097947A1 (enExample)

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US10470719B2 (en) * 2016-02-01 2019-11-12 Verily Life Sciences Llc Machine learnt model to detect REM sleep periods using a spectral analysis of heart rate and motion
CN108778102A (zh) 2016-02-01 2018-11-09 威里利生命科学有限责任公司 使用心率的频谱分析和运动来检测快速眼动睡眠时段的机器学习模型
US11207021B2 (en) * 2016-09-06 2021-12-28 Fitbit, Inc Methods and systems for labeling sleep states
US10379535B2 (en) * 2017-10-24 2019-08-13 Lear Corporation Drowsiness sensing system
CN107713991A (zh) * 2017-11-08 2018-02-23 四川大学 体征检测装置、方法及系统
US10836403B2 (en) 2017-12-04 2020-11-17 Lear Corporation Distractedness sensing system
CN108670223A (zh) * 2018-04-25 2018-10-19 上海理工大学 一种睡眠质量分析系统及其分析方法
US10867218B2 (en) 2018-04-26 2020-12-15 Lear Corporation Biometric sensor fusion to classify vehicle passenger state
JP7253047B2 (ja) * 2018-06-19 2023-04-05 マイカーディオ エルエルシー 健康状況または健康状態の評価のためのシステムおよび方法
WO2020047264A1 (en) * 2018-08-31 2020-03-05 The Trustees Of Dartmouth College A device embedded in, or attached to, a pillow configured for in-bed monitoring of respiration
EP3852616A4 (en) * 2018-09-17 2022-11-09 Mycardio LLC SYSTEMS AND METHODS FOR ANALYZING BREATHING DISORDERS DURING SLEEP
US11786694B2 (en) 2019-05-24 2023-10-17 NeuroLight, Inc. Device, method, and app for facilitating sleep
US12059980B2 (en) 2019-06-21 2024-08-13 Lear Corporation Seat system and method of control
US11524691B2 (en) 2019-07-29 2022-12-13 Lear Corporation System and method for controlling an interior environmental condition in a vehicle
WO2021055943A1 (en) * 2019-09-21 2021-03-25 Mycardio Llc Systems and methods for designation of rem and wake states
EP3821793A1 (en) * 2019-11-12 2021-05-19 Koninklijke Philips N.V. A method for determining the risk of a user waking up in an undesirable state
AU2022223547A1 (en) * 2021-02-16 2023-08-03 Sleep Number Corporation Bed having features for sensing sleeper pressure and generating estimates of brain activity
DE102021205185B3 (de) * 2021-05-20 2022-11-03 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein Verfahren und System zur Bestimmung eines ABP-Signals
EP4358835A1 (en) * 2021-07-29 2024-05-01 Sleep Number Corporation Bed having features for sensing sleeper pressure and generating estimates of brain activity for use in disease
CN116525063B (zh) * 2023-06-28 2024-03-22 安徽星辰智跃科技有限责任公司 基于时频分析的睡眠周期性检测及调节方法、系统和装置

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JP3733133B2 (ja) * 2003-10-14 2006-01-11 三洋電機株式会社 睡眠状態推定装置
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CN200987667Y (zh) 2006-09-29 2007-12-12 北京新兴阳升科技有限公司 便携式睡眠监测装置
CN104689402B (zh) * 2009-06-26 2017-06-13 甘布罗伦迪亚股份公司 透析机以及用于对信号进行处理的装置和方法
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Publication number Publication date
EP3232913B1 (en) 2022-05-04
CN107106050A (zh) 2017-08-29
JP6720179B2 (ja) 2020-07-08
US20170360363A1 (en) 2017-12-21
JP2018502632A (ja) 2018-02-01
EP3232913A1 (en) 2017-10-25
WO2016097947A1 (en) 2016-06-23
US10856801B2 (en) 2020-12-08

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