School of Electrical and Information Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia. Santos Pty Ltd, 60 Flinders St, Adelaide, SA 5000, Australia.
Physiol Meas. 2013 Nov;34(11):1499-511. doi: 10.1088/0967-3334/34/11/1499. Epub 2013 Oct 22.
Imaging photoplethysmography is an emerging technique for the extraction of biometric information from people using video recordings. The focus is on extracting the cardiac heart rate of the subject by analysing the luminance of the colour video signal and identifying periodic components. Advanced signal processing is needed to recover the information required. In this paper, independent component analysis (ICA), principal component analysis, auto- and cross-correlation are investigated and compared with respect to their effectiveness in extracting the relevant information from video recordings. Results obtained are compared with those recorded by a modern commercial finger pulse oximeter. It is found that ICA produces the most consistent results.
影像光电容积描记术是一种从使用视频记录的人员中提取生物识别信息的新兴技术。重点是通过分析彩色视频信号的亮度并识别周期性分量来提取对象的心脏心率。需要先进的信号处理来恢复所需的信息。在本文中，研究了独立成分分析 (ICA)、主成分分析、自相关和互相关，并比较了它们从视频记录中提取相关信息的有效性。将获得的结果与现代商用手指脉搏血氧计记录的结果进行比较。结果发现 ICA 产生的结果最一致。
