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使用网络摄像头进行非接触式、多参数生理测量的进展。

Advancements in noncontact, multiparameter physiological measurements using a webcam.

机构信息

Harvard-MIT Division of Health Sciences and Technology(HST), Cambridge, MA 02139, USA.

出版信息

IEEE Trans Biomed Eng. 2011 Jan;58(1):7-11. doi: 10.1109/TBME.2010.2086456. Epub 2010 Oct 14.

Abstract

We present a simple, low-cost method for measuring multiple physiological parameters using a basic webcam. By applying independent component analysis on the color channels in video recordings, we extracted the blood volume pulse from the facial regions. Heart rate (HR), respiratory rate, and HR variability (HRV, an index for cardiac autonomic activity) were subsequently quantified and compared to corresponding measurements using Food and Drug Administration-approved sensors. High degrees of agreement were achieved between the measurements across all physiological parameters. This technology has significant potential for advancing personal health care and telemedicine.

摘要

我们提出了一种简单、低成本的方法,使用基本的网络摄像头来测量多个生理参数。通过对视频记录中的颜色通道进行独立成分分析,我们从面部区域提取出血流量脉冲。随后,对心率(HR)、呼吸率和心率变异性(HRV,心脏自主活动的指标)进行了量化,并与使用美国食品和药物管理局批准的传感器进行的相应测量进行了比较。所有生理参数的测量结果之间都达到了高度的一致性。这项技术在推进个人医疗保健和远程医疗方面具有重大的潜力。

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