A robust heart rate detection using smart-phone video

A. Pal, Aniruddha Sinha, A. Choudhury, T. Chattopadhyay, A. Visvanathan
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引用次数: 50

Abstract

In this paper, the authors have presented a smartphone based robust heart rate measurement system. The system requires the user to place the tip of his/her index finger on the lens of a smart phone camera, while the flash is on. The captured video signal often contains noise generated due to (i) improper finger placement, (ii) imparting excessive pressure, which subsequently blocks normal blood circulation and (iii) movement of the fingertip. To mitigate the above issues, a two stage approach has been proposed. Firstly, the onset of good video signal is detected by formulating a finite state machine, which employs multiple window short time fast fourier transform. Only upon receiving sufficient acceptable video signal, the heart rate is computed. Results indicate that the proposed method has successfully identified and rejected noisy video signal, resulting in avoidance of erroneous output.
使用智能手机视频的稳健心率检测
在本文中,作者提出了一种基于智能手机的鲁棒心率测量系统。该系统要求用户将食指指尖放在智能手机相机的镜头上,同时打开闪光灯。捕获的视频信号通常包含由于(i)手指放置不当,(ii)施加过大压力,从而阻碍正常血液循环和(iii)指尖运动而产生的噪声。为减轻上述问题,建议采取两阶段方法。首先,利用多窗口短时间快速傅里叶变换构造有限状态机,检测优质视频信号的起始点;只有在接收到足够的可接受的视频信号时,才计算心率。结果表明,该方法成功地识别和抑制了噪声视频信号,避免了错误输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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