自然光条件下使用普通摄像头实现心率测量
发布时间:2018-11-21 12:15
【摘要】:心率作为与心血管疾病密切相关的生理指标,在临床诊断以及日常监测中起着重要作用。本文利用成像式光电容积描记技术的原理,设计了一款心率监测系统,实现了在自然光条件下使用普通摄像头采集面部视频信号,并通过处理分析得到被测者心率的功能。首先使用摄像头采集被测者的面部视频信号,截取额头部位作为感兴趣区域,然后使用欧拉放大方法处理图像,求得图像灰度均值,得到血液容积脉搏波波形,最后转化至频域求得心率。本系统使用器材简单,操作简便,可以快速准确地测得被测者的心率。
[Abstract]:Heart rate, as a physiological index closely related to cardiovascular disease, plays an important role in clinical diagnosis and daily monitoring. Based on the principle of imaging photoelectric plethysmography, a heart rate monitoring system is designed in this paper, which realizes the function of collecting facial video signal with ordinary camera under natural light condition, and getting the heart rate of measured person by processing and analyzing. Firstly, the facial video signals of the subjects were collected by using the camera, the frontal part was intercepted as the region of interest, and then the image was processed by Euler amplification method, and the mean value of the gray level of the image was obtained, and the pulse wave waveform of the blood volume was obtained. Finally, the heart rate is obtained in frequency domain. The system is simple and easy to operate, and can measure heart rate quickly and accurately.
【作者单位】: 山东大学信息科学与工程学院;
【基金】:山东省自主创新级成果转化专项计划(2015ZDXX0801A01)
【分类号】:R540.4;TP391.41
,
本文编号:2346939
[Abstract]:Heart rate, as a physiological index closely related to cardiovascular disease, plays an important role in clinical diagnosis and daily monitoring. Based on the principle of imaging photoelectric plethysmography, a heart rate monitoring system is designed in this paper, which realizes the function of collecting facial video signal with ordinary camera under natural light condition, and getting the heart rate of measured person by processing and analyzing. Firstly, the facial video signals of the subjects were collected by using the camera, the frontal part was intercepted as the region of interest, and then the image was processed by Euler amplification method, and the mean value of the gray level of the image was obtained, and the pulse wave waveform of the blood volume was obtained. Finally, the heart rate is obtained in frequency domain. The system is simple and easy to operate, and can measure heart rate quickly and accurately.
【作者单位】: 山东大学信息科学与工程学院;
【基金】:山东省自主创新级成果转化专项计划(2015ZDXX0801A01)
【分类号】:R540.4;TP391.41
,
本文编号:2346939
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