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作 者:邵天浩 王众鑫 郭紫阳 曹玥 Shao Tianhao;Wang Zhongxin;Guo Ziyang;Cao Yue(School of Artificial Intelligence,North China University of Science and Technology,Tangshan 063200,China;School of Basic Medical Science,North China University of Science and Technology,Tangshan 063200,China)
机构地区:[1]华北理工大学人工智能学院,唐山063200 [2]华北理工大学基础医学院,唐山063200
出 处:《现代计算机》2023年第9期64-67,共4页Modern Computer
摘 要:为了解决传统穿戴式心率测量设备的不便,对以摄像头采集的视频数据进行研究处理,并进行一系列相关实验。采用自动获取感兴趣区域,并利用算法对区域进行校正。使用独立成分分析提取含有脉搏波信号,实现心率检测。结果表明,在提取脉搏波信号时,可以成功将信号从视频数据中提取出来,在未来医疗行业、家庭监测中有着较大的发展前景。In order to solve the inconvenience of traditional wearable heart rate measurement devices,the video data collected by camera is studied and processed,and a series of related experiments are carried out.The region of interest is automatically acquired and the region is corrected by an algorithm.Heart rate detection is achieved using independent component analysis to extract pulse wave signals.The results show that when extracting pulse wave signals,the signals can be successfully extracted from video data,which has great development prospects in the future medical industry and home monitoring.
分 类 号:R540.4[医药卫生—心血管疾病] TN911.7[医药卫生—内科学]
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