CN108926338B - 基于深度学习的心率预测方法及装置 - Google Patents
基于深度学习的心率预测方法及装置 Download PDFInfo
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- CN108926338B CN108926338B CN201810553893.0A CN201810553893A CN108926338B CN 108926338 B CN108926338 B CN 108926338B CN 201810553893 A CN201810553893 A CN 201810553893A CN 108926338 B CN108926338 B CN 108926338B
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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
- A61B5/02—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
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
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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
- A61B5/72—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
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- Computer Vision & Pattern Recognition (AREA)
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- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
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CN109620205B (zh) * | 2018-12-26 | 2022-10-28 | 上海联影智能医疗科技有限公司 | 心电数据分类方法、装置、计算机设备和存储介质 |
CN109814101B (zh) * | 2019-01-25 | 2020-11-20 | 北京邮电大学 | 一种航空器位置预测的方法及装置 |
TWI701681B (zh) * | 2019-05-16 | 2020-08-11 | 中國醫藥大學附設醫院 | 心房顫動預測模型及其預測系統 |
CN110251119B (zh) * | 2019-05-28 | 2022-07-15 | 深圳数联天下智能科技有限公司 | 分类模型获取方法、hrv数据分类方法、装置及相关产品 |
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CN110610233B (zh) * | 2019-09-19 | 2023-04-07 | 福建宜准信息科技有限公司 | 基于领域知识和数据驱动的健身跑心率预测方法 |
CN110681074B (zh) * | 2019-10-29 | 2021-06-15 | 苏州大学 | 基于双向gru网络的肿瘤呼吸运动预测方法 |
CN111291673A (zh) * | 2020-02-04 | 2020-06-16 | 贵州省人民医院 | 一种预测时序信号分类的方法、装置、服务器及存储介质 |
CN112057066A (zh) * | 2020-09-03 | 2020-12-11 | 青岛歌尔智能传感器有限公司 | 心率的检测方法、可穿戴设备及计算机存储介质 |
CN112381965A (zh) * | 2020-11-03 | 2021-02-19 | 浙大城市学院 | 一种基于数据挖掘的航空发动机健康状态识别系统及方法 |
CN113197560A (zh) * | 2021-06-07 | 2021-08-03 | 山东大学 | 一种用于心脏骤停急救的心率检测与除颤装置 |
CN115702782A (zh) * | 2021-08-11 | 2023-02-17 | 北京荣耀终端有限公司 | 基于深度学习的心率检测方法及可穿戴设备 |
CN116058814B (zh) * | 2021-11-01 | 2024-12-13 | 北京荣耀终端有限公司 | 心率检测方法及电子设备 |
CN114287938B (zh) * | 2021-12-13 | 2024-02-13 | 重庆大学 | 建筑环境中人体参数的安全区间获得方法和设备 |
CN115177263A (zh) * | 2022-09-13 | 2022-10-14 | 毕胜普生物科技有限公司 | 基于动静结合的心脏检测方法、系统和可读存储介质 |
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CN105590011A (zh) * | 2014-10-20 | 2016-05-18 | 深圳市迈迪加科技发展有限公司 | 一种基于脉搏回归模型的心电信号数据修正方法及系统 |
CN106725376A (zh) * | 2016-11-30 | 2017-05-31 | 高军峰 | 体征信号检测方法及装置 |
CN107092894A (zh) * | 2017-04-28 | 2017-08-25 | 孙恩泽 | 一种基于lstm模型的运动行为识别方法 |
CN107405091A (zh) * | 2014-10-27 | 2017-11-28 | 生命Q全球有限公司 | 使用动态心率预测模型的生物激励动作补偿及实时生理负荷估计 |
CN107463878A (zh) * | 2017-07-05 | 2017-12-12 | 成都数联铭品科技有限公司 | 基于深度学习的人体行为识别系统 |
US9848823B2 (en) * | 2014-05-29 | 2017-12-26 | Apple Inc. | Context-aware heart rate estimation |
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US9848823B2 (en) * | 2014-05-29 | 2017-12-26 | Apple Inc. | Context-aware heart rate estimation |
CN105125198A (zh) * | 2014-06-09 | 2015-12-09 | 意法半导体股份有限公司 | 估计心率的方法和对应系统 |
CN105590011A (zh) * | 2014-10-20 | 2016-05-18 | 深圳市迈迪加科技发展有限公司 | 一种基于脉搏回归模型的心电信号数据修正方法及系统 |
CN107405091A (zh) * | 2014-10-27 | 2017-11-28 | 生命Q全球有限公司 | 使用动态心率预测模型的生物激励动作补偿及实时生理负荷估计 |
CN106725376A (zh) * | 2016-11-30 | 2017-05-31 | 高军峰 | 体征信号检测方法及装置 |
CN107092894A (zh) * | 2017-04-28 | 2017-08-25 | 孙恩泽 | 一种基于lstm模型的运动行为识别方法 |
CN107463878A (zh) * | 2017-07-05 | 2017-12-12 | 成都数联铭品科技有限公司 | 基于深度学习的人体行为识别系统 |
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