AU2019227364A1 - Method, computing device and wearable device for sleep stage detection - Google Patents

Method, computing device and wearable device for sleep stage detection Download PDF

Info

Publication number
AU2019227364A1
AU2019227364A1 AU2019227364A AU2019227364A AU2019227364A1 AU 2019227364 A1 AU2019227364 A1 AU 2019227364A1 AU 2019227364 A AU2019227364 A AU 2019227364A AU 2019227364 A AU2019227364 A AU 2019227364A AU 2019227364 A1 AU2019227364 A1 AU 2019227364A1
Authority
AU
Australia
Prior art keywords
sleep stage
feature
epochs
vital sign
logistic regression
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.)
Abandoned
Application number
AU2019227364A
Other languages
English (en)
Inventor
Thada JIRAJARAS
Maneerat JIRAVANICHKUL
Pannawit SRISUKH
Visit Thaveeprungsriporn
Pongsarun THIAMTAWAN
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.)
Nitto Denko Corp
Original Assignee
Nitto Denko Corp
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 Nitto Denko Corp filed Critical Nitto Denko Corp
Publication of AU2019227364A1 publication Critical patent/AU2019227364A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • A61B5/02—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
    • A61B5/02405—Determining heart rate variability
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/459—Evaluating the wrist
    • 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
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A61B5/4839—Diagnosis combined with treatment in closed-loop systems or methods combined with drug delivery
    • 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
    • A61B5/4848—Monitoring or testing the effects of treatment, e.g. of medication
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • 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
    • A61B5/7221—Determining signal validity, reliability or quality
    • 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
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • 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
    • G16H40/67—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 remote 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • 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
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • 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
    • A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Theoretical Computer Science (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Fuzzy Systems (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Psychology (AREA)
AU2019227364A 2018-03-02 2019-02-28 Method, computing device and wearable device for sleep stage detection Abandoned AU2019227364A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
SG10201801850P 2018-03-02
SG10201801850P 2018-03-02
PCT/SG2019/050111 WO2019168474A1 (en) 2018-03-02 2019-02-28 Method, computing device and wearable device for sleep stage detection

Publications (1)

Publication Number Publication Date
AU2019227364A1 true AU2019227364A1 (en) 2020-09-24

Family

ID=67808805

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2019227364A Abandoned AU2019227364A1 (en) 2018-03-02 2019-02-28 Method, computing device and wearable device for sleep stage detection

Country Status (8)

Country Link
US (2) US11839485B2 (https=)
EP (1) EP3759722A4 (https=)
JP (3) JP7344213B2 (https=)
KR (1) KR20200127202A (https=)
CN (1) CN112088408A (https=)
AU (1) AU2019227364A1 (https=)
SG (1) SG11202008455WA (https=)
WO (1) WO2019168474A1 (https=)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112932433A (zh) * 2021-02-05 2021-06-11 青岛大学 一种心电图的心律失常自动分类方法
CN113303814A (zh) * 2021-06-13 2021-08-27 大连理工大学 基于深度迁移学习的单通道耳脑电自动睡眠分期方法
CN116682535A (zh) * 2023-08-03 2023-09-01 安徽星辰智跃科技有限责任公司 基于数值拟合的睡眠可持续性检测调节方法、系统和装置

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2596518B (en) 2020-06-23 2022-11-23 Myzone Ltd Physical activity monitoring system
JP7523063B2 (ja) * 2020-09-29 2024-07-26 パナソニックＩｐマネジメント株式会社 状況推定装置、サーバ装置、状況推定システム、及び状況推定方法
CN112869711B (zh) * 2021-01-19 2022-06-03 华南理工大学 一种基于深度神经网络的自动睡眠分期及迁移方法
US20220370757A1 (en) * 2021-05-18 2022-11-24 Hypnocore Ltd. Personalized sleep wellness score for treatment and/or evaluation of sleep conditions
EP4341957A1 (en) * 2021-05-21 2024-03-27 Oura Health Oy Sleep staging algorithm
CN113317804B (zh) * 2021-05-28 2022-08-26 清华大学 一种康复效率预测方法、及其训练装置和计算机设备
US12254971B2 (en) * 2021-08-24 2025-03-18 Oura Health Oy Location-based activity tracking
KR102665153B1 (ko) * 2021-11-30 2024-05-13 (주)허니냅스 수면 무호흡 증 진단 장치 및 그 동작 방법
CN115881305B (zh) * 2023-03-03 2023-05-16 安徽星辰智跃科技有限责任公司 一种睡眠趋稳性检测量化及辅助干预的方法、系统和装置
CN116530933B (zh) * 2023-04-24 2026-02-27 平安科技（深圳）有限公司 睡眠质量的评估方法、装置、存储介质及计算机设备

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5596993A (en) * 1994-09-21 1997-01-28 Beth Israel Hospital Fetal data processing system and method
JP3831918B2 (ja) * 2001-10-25 2006-10-11 株式会社シービーシステム開発 唾眠段階判定装置
JP5451013B2 (ja) * 2007-09-06 2014-03-26 英次 麻野井 睡眠の質を評価するために用いる表示又は印刷を行う装置、方法、コンピュータプログラム、呼吸補助装置、慢性心疾患患者を対象とした呼吸補助装置、睡眠導入装置、マッサージ装置、検査装置
US20090198145A1 (en) * 2008-02-06 2009-08-06 Chow Harrison Compositions, methods, and systems for rapid induction and maintenance of continuous rem sleep
JP2011115188A (ja) * 2008-06-13 2011-06-16 Heart Metrics Kk 睡眠状態モニタリング装置、モニタリングシステムおよびコンピュータプログラム
KR20110094064A (ko) * 2008-11-14 2011-08-19 네우로비길, 아이엔씨 수면 및 각성 패턴의 확인 방법 및 용도
AU2015268701A1 (en) 2008-11-14 2016-01-07 Neurovigil, Inc. Methods of Identifying Sleep & Waking Patterns and Uses
JP5720295B2 (ja) 2011-02-22 2015-05-20 オムロンヘルスケア株式会社 睡眠評価装置および睡眠評価装置における表示方法
JP5857609B2 (ja) * 2011-10-12 2016-02-10 アイシン精機株式会社 睡眠状態判別装置
JP2014024774A (ja) 2012-07-25 2014-02-06 Lion Corp 睡眠の質改善剤
US10492720B2 (en) * 2012-09-19 2019-12-03 Resmed Sensor Technologies Limited System and method for determining sleep stage
US9728059B2 (en) * 2013-01-15 2017-08-08 Fitbit, Inc. Sedentary period detection utilizing a wearable electronic device
US9655559B2 (en) 2014-01-03 2017-05-23 Vital Connect, Inc. Automated sleep staging using wearable sensors
US20170274174A1 (en) * 2014-08-22 2017-09-28 The General Hospital Corporation System and method for administering, monitoring and controlling biomimetic sleep
CA2996475A1 (en) * 2014-09-12 2016-03-17 Blacktree Fitness Technologies Inc. Portable devices and methods for measuring nutritional intake
JP6720178B2 (ja) * 2014-12-18 2020-07-08 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 心肺睡眠段階分類のためのシステム及び方法
TWI542322B (zh) 2014-12-22 2016-07-21 財團法人工業技術研究院 睡眠事件偵測方法與系統
AU2015372661B2 (en) * 2014-12-30 2021-04-01 Nitto Denko Corporation Method and apparatus for deriving a mental state of a subject
JP5993968B2 (ja) * 2015-02-05 2016-09-21 日本電信電話株式会社 睡眠段階推定装置、方法およびプログラム
JP6539901B2 (ja) * 2015-03-09 2019-07-10 学校法人法政大学 植物病診断システム、植物病診断方法、及びプログラム
CN114545355B (zh) * 2015-04-20 2026-03-10 瑞思迈传感器技术有限公司 由特征信号对人类的检测和识别
JP6553397B2 (ja) * 2015-05-08 2019-07-31 花王株式会社 睡眠感判定方法及び睡眠感判定装置
JP6767394B2 (ja) * 2015-05-29 2020-10-14 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 上気道疾患に関する治療に対する患者の順守を高めさせるための装置、前記装置の作動方法、及びコンピュータプログラム
US10321871B2 (en) 2015-08-28 2019-06-18 Awarables Inc. Determining sleep stages and sleep events using sensor data
US11589758B2 (en) * 2016-01-25 2023-02-28 Fitbit, Inc. Calibration of pulse-transit-time to blood pressure model using multiple physiological sensors and various methods for blood pressure variation
JP6439729B2 (ja) 2016-03-24 2018-12-19 トヨタ自動車株式会社 睡眠状態推定装置
JP6559095B2 (ja) 2016-06-15 2019-08-14 日本電信電話株式会社 睡眠モデル作成装置、睡眠段階推定装置、方法およびプログラム
US10750958B2 (en) * 2016-09-15 2020-08-25 Whoop, Inc. Variable brightness and gain for optimizing signal acquisition
SG10201608507PA (en) * 2016-10-11 2018-05-30 Nat Univ Singapore Determining Sleep Stages
CN108836269A (zh) * 2018-05-10 2018-11-20 电子科技大学 一种融合心率呼吸体动的自动睡眠分期方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112932433A (zh) * 2021-02-05 2021-06-11 青岛大学 一种心电图的心律失常自动分类方法
CN113303814A (zh) * 2021-06-13 2021-08-27 大连理工大学 基于深度迁移学习的单通道耳脑电自动睡眠分期方法
CN116682535A (zh) * 2023-08-03 2023-09-01 安徽星辰智跃科技有限责任公司 基于数值拟合的睡眠可持续性检测调节方法、系统和装置
CN116682535B (zh) * 2023-08-03 2024-05-10 安徽星辰智跃科技有限责任公司 基于数值拟合的睡眠可持续性检测调节方法、系统和装置

Also Published As

Publication number Publication date
EP3759722A4 (en) 2022-08-03
US20240074698A1 (en) 2024-03-07
JP2021514768A (ja) 2021-06-17
US20210153807A1 (en) 2021-05-27
JP2025016623A (ja) 2025-02-04
EP3759722A1 (en) 2021-01-06
WO2019168474A1 (en) 2019-09-06
CN112088408A (zh) 2020-12-15
KR20200127202A (ko) 2020-11-10
JP2023159436A (ja) 2023-10-31
SG11202008455WA (en) 2020-09-29
JP7344213B2 (ja) 2023-09-13
US11839485B2 (en) 2023-12-12

Similar Documents

Publication Publication Date Title
US20240074698A1 (en) Method, Computing Device And Wearable Device For Sleep Stage Detection
Sopic et al. Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems
CN103038772B (zh) 预测患者的存活性的系统和装置
US20190142282A1 (en) Assessing system and method for characterizing resting heart rate of a subject
Vanitha et al. Hybrid SVM classification technique to detect mental stress in human beings using ECG signals
EP3893248B1 (en) Method for creating a predictive model for predicting glaucoma risk in a subject, method for determining glaucoma risk in a subject using such predictive model, device for predicting glaucoma risk in a subject, computer program and computer readable medium
CN120413050B (zh) 基于多模态生物信号的糖尿病神经病变动态预警方法
CN118692681B (zh) 一种心脏监测信息分析方法及系统
Prabha et al. A novel analysis and detection of autism spectrum disorder in artificial intelligence using hybrid machine learning
Kumar et al. A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography
CN119446507A (zh) 一种基于可穿戴设备的患者疼痛预测方法及装置
Nisha et al. Efficient Classification of Cardiovascular Abnormalities by Deep Learning
Vanitha et al. Hierarchical SVM to detect mental stress in human beings using Heart Rate Variability
US20230263400A1 (en) System and method for filtering time-varying data for physiological signal prediction
US12201443B2 (en) Determining a sleep state of a user
EP4639574B1 (en) A computer implemented method for adaptive physiology-based monitoring of a subject
Nagra et al. An Accurate Ensemble Machine Learning Model with Precision Engineering for Chronic Coronary Artery Disease Prognosis
CN119423779B (zh) 一种基于机器学习的心梗辅助预测方法
Elango et al. Machine Learning Driven Cardiovascular Disease Prediction Among Male Senior Adults
US12573505B1 (en) Medical diagnostic tool with neural model trained through machine learning for predicting coronary disease from ECG signals
Jatia et al. Interpretation and Classification of Phonocardiogram Using Principal Component Analysis
Henk Identification of Sleeping Phases with Neural Networks
CN121171622A (zh) 一种多源同步数据处理方法及系统
CN119339976A (zh) 基于智能穿戴设备的用户健康状态监控方法及系统
KR20230110999A (ko) 생체신호 및 라이프로그 기반의 감성 인식 장치 및 방법

Legal Events

Date Code Title Description
MK4 Application lapsed section 142(2)(d) - no continuation fee paid for the application