%0 Journal Article
%T 基于人脸视频的非接触式心率测量研究<br> Non-Contact Heart Rate Measurement Based on Face Video
%A 刘成
%A 田磊
%A 张猛超
%A 王帆
%A 张景晨
%A 叶彩红
%A 王祥丰
%J Hans Journal of Biomedicine
%P 121-127
%@ 2161-8984
%D 2019
%I Hans Publishing
%R 10.12677/HJBM.2019.93018
%X <div style=\"text-align:justify;\">
	<span style=\"font-size:14px;\">心率是脉搏波的最基本信息，是人体健康的一项重要生理指标。传统的心率检测多与人体有直接接触，而长时间的接触会造成被试者的不适，因而不适合长时间的心率测量。因此本文提出了利用摄像头实现非接触式对被测者的光电容积脉搏波(RPPG: remote Photo Plethysmography)的提取和分析的方法。即基于人脸识别技术，实现从摄像头中自动分割被测试者的面部信息，选取感兴趣区域(ROI: Region of Interest)，使用计算机视觉技术和独立成分分析算法(ICA: Independent Component
Analysis)，从摄像头视频中提取被测者的光电容积脉搏波信号。本文设计实现了非接触式测量心率，提供了一种较为准确的心率测量方法。<br />
Heart rate is the most basic information of
pulse wave and an important physiological index of human health. Traditional
heart rate measurement is mostly in direct contact with the human body, and
prolonged contact will cause discomfort to the subjects, so it is not suitable
for long-term heart rate measurement. Therefore, this paper proposes a method
for the extraction and analysis of non-contact Remote Photo Plethysmography
(RPPG) of the subject using the camera. That is, based on face recognition
technology, the facial information of the testee can be automatically segmented
from the camera, and Region of Interest (ROI) can be selected. In this paper,
computer vision technology and Independent Component Analysis (ICA) are used to
extract the photoelectric volume pulse wave signal of the subject from the
camera video. The design realizes the non-contact heart rate measurement and
provides a more accurate heart rate measurement method.</span> 
</div>
%K 非接触心率测量，人脸视频，独立成分分析，周期分析<br> Non-Contact Heart Rate Measurement
%K The Face of the Video
%K Independent Component Analysis
%K Cycle Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=31154