JP7344213B2 - 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス - Google Patents

睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス Download PDF

Info

Publication number
JP7344213B2
JP7344213B2 JP2020545662A JP2020545662A JP7344213B2 JP 7344213 B2 JP7344213 B2 JP 7344213B2 JP 2020545662 A JP2020545662 A JP 2020545662A JP 2020545662 A JP2020545662 A JP 2020545662A JP 7344213 B2 JP7344213 B2 JP 7344213B2
Authority
JP
Japan
Prior art keywords
vital sign
period
sleep stage
feature
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.)
Active
Application number
JP2020545662A
Other languages
English (en)
Japanese (ja)
Other versions
JP2021514768A (ja
JPWO2019168474A5 (https=
JP2021514768A5 (https=
Inventor
マニーラット ジラヴァニチクル，
タダ ジラジャラス，
ヴィジット タウィープランスリポン，
パンナウィット スリスク，
ポンサルン ティアムタワン，
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 JP2021514768A publication Critical patent/JP2021514768A/ja
Publication of JPWO2019168474A5 publication Critical patent/JPWO2019168474A5/ja
Publication of JP2021514768A5 publication Critical patent/JP2021514768A5/ja
Priority to JP2023140949A priority Critical patent/JP2023159436A/ja
Application granted granted Critical
Publication of JP7344213B2 publication Critical patent/JP7344213B2/ja
Priority to JP2024190453A priority patent/JP2025016623A/ja
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
    • A61B5/48—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
    • A61B5/45—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
    • G06N3/09—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
    • A61B5/02—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
    • A61B5/72—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
    • 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
    • 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)
JP2020545662A 2018-03-02 2019-02-28 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス Active JP7344213B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2023140949A JP2023159436A (ja) 2018-03-02 2023-08-31 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス
JP2024190453A JP2025016623A (ja) 2018-03-02 2024-10-30 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス

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

Related Child Applications (1)

Application Number Title Priority Date Filing Date
JP2023140949A Division JP2023159436A (ja) 2018-03-02 2023-08-31 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス

Publications (4)

Publication Number Publication Date
JP2021514768A JP2021514768A (ja) 2021-06-17
JPWO2019168474A5 JPWO2019168474A5 (https=) 2022-02-15
JP2021514768A5 JP2021514768A5 (https=) 2022-02-15
JP7344213B2 true JP7344213B2 (ja) 2023-09-13

Family

ID=67808805

Family Applications (3)

Application Number Title Priority Date Filing Date
JP2020545662A Active JP7344213B2 (ja) 2018-03-02 2019-02-28 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス
JP2023140949A Pending JP2023159436A (ja) 2018-03-02 2023-08-31 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス
JP2024190453A Pending JP2025016623A (ja) 2018-03-02 2024-10-30 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス

Family Applications After (2)

Application Number Title Priority Date Filing Date
JP2023140949A Pending JP2023159436A (ja) 2018-03-02 2023-08-31 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス
JP2024190453A Pending JP2025016623A (ja) 2018-03-02 2024-10-30 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス

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=)

Families Citing this family (13)

* 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
CN112932433B (zh) * 2021-02-05 2022-11-08 青岛大学 一种心电图的心律失常自动分类方法
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
CN113303814B (zh) * 2021-06-13 2022-07-05 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
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
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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012114588A1 (ja) 2011-02-22 2012-08-30 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
JP2017221413A (ja) 2016-06-15 2017-12-21 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
WO2018070935A1 (en) 2016-10-11 2018-04-19 National University Of Singapore Determining sleep stages

Family Cites Families (27)

* 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
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
US10750958B2 (en) * 2016-09-15 2020-08-25 Whoop, Inc. Variable brightness and gain for optimizing signal acquisition
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012114588A1 (ja) 2011-02-22 2012-08-30 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
JP2017221413A (ja) 2016-06-15 2017-12-21 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
WO2018070935A1 (en) 2016-10-11 2018-04-19 National University Of Singapore Determining sleep stages

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
S. BISWAL ET AL．，SLEEPNET:Automated Sleep Staging System via Deep Learning，米国，201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA，2017年，第１頁－第１７頁

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
AU2019227364A1 (en) 2020-09-24
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
US11839485B2 (en) 2023-12-12

Similar Documents

Publication Publication Date Title
JP7344213B2 (ja) 睡眠段階検出のための方法、コンピューティングデバイス、およびウェアラブルデバイス
Biswas et al. CorNET: Deep learning framework for PPG-based heart rate estimation and biometric identification in ambulant environment
Tazarv et al. A deep learning approach to predict blood pressure from ppg signals
Mortensen et al. Multi-class stress detection through heart rate variability: A deep neural network based study
CN103038772B (zh) 预测患者的存活性的系统和装置
CN117137500B (zh) 智能麻醉深度监测仪器与反馈控制系统
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
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
Premalatha et al. Design and implementation of intelligent patient in-house monitoring system based on efficient XGBoost-CNN approach
EP3977482B1 (en) System and method for filtering time-varying data for physiological signal prediction
Sadek et al. Detecting Cardiovascular Disease From PPG Signals using Machine Learning
EP4639574B1 (en) A computer implemented method for adaptive physiology-based monitoring of a subject
Hasan et al. Cardiac arrhythmia detection in an ecg beat signal using 1d convolution neural network
Pratama et al. Sleep apnea detection model using time window and one-dimensional convolutional neural network on single-lead electrocardiogram
CN119423779B (zh) 一种基于机器学习的心梗辅助预测方法
Mathur Detecting myocardial infarctions using machine learning methods
US12554328B2 (en) Hardware-agnostic multimodal brain-computer interface powered by a generative artificial intelligence neural foundation model and cognitive AI agents
Cimr Graph Neural Networks for Multi-Sensor BCG Analysis
Shaik et al. Novel multi-modal obstruction module for diabetes mellitus classification using explainable machine learning
Dai Smart sensing and clinical predictions with wearables: from physiological signals to mental health
Montazeri et al. Physical activity recognition based on electrocardiogram data only
Vasavi et al. Sustainable Diagnosis of Sleep Apnea Using ECG and Deep Learning
Irshad et al. Meta-Learning and Deep Convolutional Recurrent Neural Network with Foraging Phero Trap Optimization for Heart Disease Prediction
Surrel Low power sensing and processing in wearable biomedical devices for personalized health monitoring
Yu Further Improvements in Human Emotion and Wellbeing Prediction: Personalization, Modality Fusion, and Semi-Supervised Learning

Legal Events

Date Code Title Description
A529 Written submission of copy of amendment under article 34 pct

Free format text: JAPANESE INTERMEDIATE CODE: A529

Effective date: 20201027

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220204

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220204

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230314

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20230512

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230524

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: 20230808

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230901

R150 Certificate of patent or registration of utility model

Ref document number: 7344213

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150