CN112597789A - 血压推定系统、血压推定方法、学习装置、学习方法及程序 - Google Patents

血压推定系统、血压推定方法、学习装置、学习方法及程序 Download PDF

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CN112597789A
CN112597789A CN202010911014.4A CN202010911014A CN112597789A CN 112597789 A CN112597789 A CN 112597789A CN 202010911014 A CN202010911014 A CN 202010911014A CN 112597789 A CN112597789 A CN 112597789A
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blood pressure
face image
weighted time
subject
time series
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野泽昭雄
大岩孝辅
中野研一
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Noguchi Akio
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Toshiba Corp
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CN202010911014.4A 2019-09-03 2020-09-02 血压推定系统、血压推定方法、学习装置、学习方法及程序 Pending CN112597789A (zh)

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JP2020129600A JP2021041142A (ja) 2019-09-03 2020-07-30 血圧推定システム、血圧推定方法、学習装置、学習方法及びプログラム

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Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB202005213D0 (en) * 2020-04-08 2020-05-20 Bevan Heba Remote temperature measurement system
CN111914761A (zh) * 2020-08-04 2020-11-10 南京华图信息技术有限公司 一种热红外人脸识别的方法及系统
US11854250B2 (en) * 2020-09-16 2023-12-26 Fsx, Inc. Portable terminal and oshibori management system
DE112020007619B4 (de) * 2020-12-04 2024-07-25 Mitsubishi Electric Corporation Insassentemperatur-Schätzvorrichtung, Insassenzustand-Erkennungsvorrichtung, Insassentemperaturschätzverfahren und Insassentemperatur-Schätzsystem
KR102806308B1 (ko) * 2021-05-27 2025-05-09 삼성전자주식회사 생체정보 추정 장치 및 방법
CN113456042A (zh) * 2021-06-30 2021-10-01 浙江师范大学 一种基于3d cnn的无接触面部血压测量方法
JP7773450B2 (ja) 2022-09-14 2025-11-19 本田技研工業株式会社 運転者支援システム、運転者支援方法、および運転者支援プログラム
CN115736863B (zh) * 2022-11-04 2024-11-26 北京小凡科技有限公司 基于计算机视觉和深度学习的非接触式血压检测系统
CN116649932B (zh) * 2023-01-16 2025-10-14 电子科技大学 一种基于去除年龄混淆因子的可穿戴连续血压测量方法及系统
CN117100237B (zh) * 2023-10-18 2024-02-06 众保健康科技服务(济南)有限公司 一种居家养老用智能监测系统
WO2025141420A1 (en) * 2023-12-26 2025-07-03 Carex Ai, Inc. Systems, devices, and methods for vital sign monitoring

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010187993A (ja) * 2009-02-19 2010-09-02 Denso Corp 血圧測定装置及びプログラム並びに記録媒体
CN105873503A (zh) * 2013-12-25 2016-08-17 旭化成株式会社 脉搏波测定装置、便携式设备、医疗设备系统以及生物体信息通信系统
CN106236049A (zh) * 2016-10-12 2016-12-21 南京工程学院 基于视频图像的血压测量方法
JP2018102731A (ja) * 2016-12-27 2018-07-05 花王株式会社 肌分析方法及び肌分析装置
CN110191675A (zh) * 2016-12-19 2019-08-30 纽洛斯公司 用于非接触式确定血压的系统和方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6854879B2 (en) * 2001-04-19 2005-02-15 Honeywell International Inc. System and method using thermal image analysis for polygraph testing
KR100474848B1 (ko) * 2002-07-19 2005-03-10 삼성전자주식회사 영상시각 정보를 결합하여 실시간으로 복수의 얼굴을검출하고 추적하는 얼굴 검출 및 추적 시스템 및 방법
US8360986B2 (en) * 2006-06-30 2013-01-29 University Of Louisville Research Foundation, Inc. Non-contact and passive measurement of arterial pulse through thermal IR imaging, and analysis of thermal IR imagery
US20110251493A1 (en) * 2010-03-22 2011-10-13 Massachusetts Institute Of Technology Method and system for measurement of physiological parameters
US8672754B2 (en) * 2011-02-23 2014-03-18 Disney Enterprises, Inc. System and method for number of players determined using facial recognition
JP6234136B2 (ja) * 2013-09-25 2017-11-22 シチズン時計株式会社 血圧計
US10736517B2 (en) * 2014-10-09 2020-08-11 Panasonic Intellectual Property Management Co., Ltd. Non-contact blood-pressure measuring device and non-contact blood-pressure measuring method
JP6893877B2 (ja) * 2014-10-29 2021-06-23 スペクトラル エムディー, インコーポレイテッドSpectral Md, Inc. 組織を分類するための反射モードマルチスペクトル時間分解型光学イメージングの方法および装置
KR20160107007A (ko) * 2015-03-03 2016-09-13 삼성전자주식회사 혈압 측정 장치 및 방법
JP6683367B2 (ja) * 2015-03-30 2020-04-22 国立大学法人東北大学 生体情報計測装置、生体情報計測方法及び生体情報計測プログラム
CN104720778B (zh) * 2015-04-09 2018-08-10 陶军 远程血压测量系统及其实现方法
JP6240134B2 (ja) * 2015-10-15 2017-11-29 ダイキン工業株式会社 皮膚状態推定装置およびその作動方法
CA2958003C (en) * 2016-02-19 2022-04-05 Paul Stanley Addison System and methods for video-based monitoring of vital signs
CN109982633B (zh) * 2016-11-10 2022-06-07 夏普株式会社 脉搏检测装置、图像分析装置以及生物体信息生成系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010187993A (ja) * 2009-02-19 2010-09-02 Denso Corp 血圧測定装置及びプログラム並びに記録媒体
CN105873503A (zh) * 2013-12-25 2016-08-17 旭化成株式会社 脉搏波测定装置、便携式设备、医疗设备系统以及生物体信息通信系统
CN106236049A (zh) * 2016-10-12 2016-12-21 南京工程学院 基于视频图像的血压测量方法
CN110191675A (zh) * 2016-12-19 2019-08-30 纽洛斯公司 用于非接触式确定血压的系统和方法
JP2018102731A (ja) * 2016-12-27 2018-07-05 花王株式会社 肌分析方法及び肌分析装置

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WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20210402