CN113576410B - 一种入睡过程动态连续分析方法 - Google Patents
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- 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]
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CN116671875B (zh) * | 2023-08-04 | 2024-04-30 | 安徽星辰智跃科技有限责任公司 | 基于小波变换的睡眠可持续性检测调节方法、***和装置 |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102274022A (zh) * | 2011-05-10 | 2011-12-14 | 浙江大学 | 一种基于脑电信号的睡眠状态监测方法 |
JP2015097713A (ja) * | 2013-11-20 | 2015-05-28 | トヨタ自動車株式会社 | 睡眠状態推定装置及び睡眠状態推定方法 |
CN106361327A (zh) * | 2016-09-21 | 2017-02-01 | 广州视源电子科技股份有限公司 | 睡眠状态分析中清醒状态检测方法和*** |
CN106388818A (zh) * | 2016-09-21 | 2017-02-15 | 广州视源电子科技股份有限公司 | 睡眠状态监测模型的特征信息提取方法和*** |
KR20180049282A (ko) * | 2016-10-31 | 2018-05-11 | 주식회사 소소 | 뇌파를 이용한 수면 패턴 분석 장치 |
JP2019048150A (ja) * | 2018-11-22 | 2019-03-28 | 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 |
CN109674468A (zh) * | 2019-01-30 | 2019-04-26 | 大连理工大学 | 一种单导脑电自动睡眠分期方法 |
CN111466910A (zh) * | 2020-04-30 | 2020-07-31 | 电子科技大学 | 一种睡眠监测方法、***、存储介质、计算机程序、装置 |
CN112890829A (zh) * | 2021-01-15 | 2021-06-04 | 褚明礼 | 一种基于脑电信息的睡眠状态评估方法 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB0624081D0 (en) * | 2006-12-01 | 2007-01-10 | Oxford Biosignals Ltd | Biomedical signal analysis method |
US7509163B1 (en) * | 2007-09-28 | 2009-03-24 | International Business Machines Corporation | Method and system for subject-adaptive real-time sleep stage classification |
US8296108B2 (en) * | 2010-04-02 | 2012-10-23 | Yugen Kaisha Suwa Torasuto | Time series data analyzer, and a computer-readable recording medium recording a time series data analysis program |
US10213152B2 (en) * | 2011-02-14 | 2019-02-26 | The Board Of Regents Of The University Of Texas System | System and method for real-time measurement of sleep quality |
US20200181707A1 (en) * | 2012-09-13 | 2020-06-11 | Yrt Limited | Method and software to determine probability of sleep/wake states and quality of sleep and wakefulness from an electroencephalogram |
CN104161511A (zh) * | 2014-07-28 | 2014-11-26 | 复旦大学 | 一种便携式睡眠监测*** |
CN106473705B (zh) * | 2016-09-21 | 2019-05-07 | 广州视源电子科技股份有限公司 | 用于睡眠状态监测的脑电信号处理方法和*** |
CN106175754B (zh) * | 2016-09-21 | 2019-04-09 | 广州视源电子科技股份有限公司 | 睡眠状态分析中清醒状态检测装置 |
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 |
CN110558934B (zh) * | 2019-08-02 | 2022-06-28 | 杭州连帆科技有限公司 | 睡眠质量评估方法、装置、电子设备及介质 |
KR102258726B1 (ko) * | 2019-08-12 | 2021-06-01 | (주)허니냅스 | 딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법 |
CN110623665A (zh) * | 2019-09-26 | 2019-12-31 | 川北医学院 | 一种智能睡眠时相检测与睡眠质量评估***及方法 |
EP3831286A1 (en) * | 2019-12-06 | 2021-06-09 | École Normale Supérieure Paris-Saclay | System and method for predicting depth of anesthesia |
CN111631710B (zh) * | 2020-06-22 | 2021-04-23 | 中国科学技术大学 | 一种状态相关的动态脑电信号中肌电伪迹的消除方法 |
CN111631688B (zh) * | 2020-06-24 | 2021-10-29 | 电子科技大学 | 睡眠自动分期的算法 |
-
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Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102274022A (zh) * | 2011-05-10 | 2011-12-14 | 浙江大学 | 一种基于脑电信号的睡眠状态监测方法 |
JP2015097713A (ja) * | 2013-11-20 | 2015-05-28 | トヨタ自動車株式会社 | 睡眠状態推定装置及び睡眠状態推定方法 |
CN106361327A (zh) * | 2016-09-21 | 2017-02-01 | 广州视源电子科技股份有限公司 | 睡眠状态分析中清醒状态检测方法和*** |
CN106388818A (zh) * | 2016-09-21 | 2017-02-15 | 广州视源电子科技股份有限公司 | 睡眠状态监测模型的特征信息提取方法和*** |
KR20180049282A (ko) * | 2016-10-31 | 2018-05-11 | 주식회사 소소 | 뇌파를 이용한 수면 패턴 분석 장치 |
JP2019048150A (ja) * | 2018-11-22 | 2019-03-28 | 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 |
CN109674468A (zh) * | 2019-01-30 | 2019-04-26 | 大连理工大学 | 一种单导脑电自动睡眠分期方法 |
CN111466910A (zh) * | 2020-04-30 | 2020-07-31 | 电子科技大学 | 一种睡眠监测方法、***、存储介质、计算机程序、装置 |
CN112890829A (zh) * | 2021-01-15 | 2021-06-04 | 褚明礼 | 一种基于脑电信息的睡眠状态评估方法 |
Non-Patent Citations (1)
Title |
---|
睡眠状态下人体生理信号模糊分析***的研究;徐现通等;《第一军医大学学报》;20031130(第11期);1177-1180 * |
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Inventor after: Wang Lin Inventor after: Liu Tiejun Inventor after: Gao Dongrui Inventor after: Wang Yuxiao Inventor after: Li Jing Inventor after: Cao Wenpeng Inventor after: Qin Yun Inventor after: Wang Manqing Inventor after: Ying Shaofei Inventor before: Liu Tiejun Inventor before: Wang Lin Inventor before: Gao Dongrui Inventor before: Li Jing Inventor before: Cao Wenpeng Inventor before: Wang Yuxiao Inventor before: Qin Yun Inventor before: Wang Manqing Inventor before: Ying Shaofei |
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