JP2017537710A5 - - Google Patents

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Publication number
JP2017537710A5
JP2017537710A5 JP2017530317A JP2017530317A JP2017537710A5 JP 2017537710 A5 JP2017537710 A5 JP 2017537710A5 JP 2017530317 A JP2017530317 A JP 2017530317A JP 2017530317 A JP2017530317 A JP 2017530317A JP 2017537710 A5 JP2017537710 A5 JP 2017537710A5
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JP
Japan
Prior art keywords
frequency
wave amplitude
individual
determining
amplitude metric
Prior art date
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Pending
Application number
JP2017530317A
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English (en)
Japanese (ja)
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JP2017537710A (ja
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Publication date
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Priority claimed from PCT/IB2015/059341 external-priority patent/WO2016092433A1/en
Publication of JP2017537710A publication Critical patent/JP2017537710A/ja
Publication of JP2017537710A5 publication Critical patent/JP2017537710A5/ja
Pending legal-status Critical Current

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JP2017530317A 2014-12-11 2015-12-04 睡眠段階分類のスペクトル境界を決定するシステム及び方法 Pending JP2017537710A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462090534P 2014-12-11 2014-12-11
US62/090,534 2014-12-11
PCT/IB2015/059341 WO2016092433A1 (en) 2014-12-11 2015-12-04 System and method for determining spectral boundaries for sleep stage classification

Publications (2)

Publication Number Publication Date
JP2017537710A JP2017537710A (ja) 2017-12-21
JP2017537710A5 true JP2017537710A5 (enExample) 2019-01-17

Family

ID=54979882

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2017530317A Pending JP2017537710A (ja) 2014-12-11 2015-12-04 睡眠段階分類のスペクトル境界を決定するシステム及び方法

Country Status (5)

Country Link
US (1) US10702207B2 (enExample)
EP (1) EP3229661B1 (enExample)
JP (1) JP2017537710A (enExample)
CN (1) CN106999055B (enExample)
WO (1) WO2016092433A1 (enExample)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN106388779B (zh) * 2016-09-21 2019-06-11 广州视源电子科技股份有限公司 睡眠状态样本数据类型的标注方法和系统
CN108852293A (zh) * 2018-05-14 2018-11-23 浙江胜昔信息科技有限公司 一种基于倾角传感器的睡眠深度评估装置及其评估方法
EP3570226A1 (en) * 2018-05-16 2019-11-20 Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft Method and system of obtaining audit evidence
JP7468350B2 (ja) * 2018-10-02 2024-04-16 コニカミノルタ株式会社 状態監視装置および状態監視装置の制御方法
US12127825B2 (en) * 2019-05-08 2024-10-29 Google Llc Sleep tracking and vital sign monitoring using low power radio waves
EP3995077B1 (en) * 2019-07-05 2024-09-04 The University of Tokyo Sleep-wakefulness determination device and program
WO2021230223A1 (ja) * 2020-05-11 2021-11-18 国立大学法人東京大学 睡眠覚醒判定システム、睡眠覚醒判定装置、およびプログラム
CN117202843A (zh) * 2021-04-30 2023-12-08 美敦力公司 感测呼吸参数作为心脏骤停事件的指标
WO2025075259A1 (ko) * 2023-10-04 2025-04-10 삼성전자 주식회사 수면 무 호흡증을 측정하기 위한 전자 장치

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AU2002951099A0 (en) * 2002-08-23 2002-09-12 The University Of Queensland A method of designing a concrete railway sleeper
ATE496577T1 (de) * 2002-09-19 2011-02-15 Univ Ramot Verfahren, gerät und system zur charakterisierung von schlaf
WO2004107978A1 (ja) * 2003-06-03 2004-12-16 Cb System Co. 睡眠段階判定方法および判定装置
US7860561B1 (en) * 2004-06-04 2010-12-28 Cleveland Medical Devices Inc. Method of quantifying a subject's wake or sleep state and system for measuring
WO2006048852A1 (en) * 2004-11-02 2006-05-11 University College Dublin - National University Ofireland, Dublin A sleep monitoring system
WO2006121455A1 (en) * 2005-05-10 2006-11-16 The Salk Institute For Biological Studies Dynamic signal processing
JP4294724B2 (ja) * 2007-08-10 2009-07-15 パナソニック株式会社 音声分離装置、音声合成装置および声質変換装置
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KR101235441B1 (ko) * 2010-08-01 2013-02-20 연세대학교 산학협력단 생체신호 기반 자동 수면단계 분류시스템
CN103687540B (zh) * 2011-05-17 2016-03-16 大学健康网络 使用记录的呼吸音振幅谱图和音高升降曲线诊断osa/csa
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CN103211598B (zh) * 2013-03-27 2016-01-20 中山大学 射频呼吸监测系统及压缩传感实现方法
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US9820698B2 (en) * 2014-11-07 2017-11-21 Koninklijke Philips N.V. Actigraphy methods and apparatuses

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