基于 PPG 与智能手机摄像头的脉搏率估计算法。
A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera.
机构信息
Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China.
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.
出版信息
J Med Syst. 2016 May;40(5):126. doi: 10.1007/s10916-016-0485-6. Epub 2016 Apr 11.
The ubiquitous use and advancement in built-in smartphone sensors and the development in big data processing have been beneficial in several fields including healthcare. Among the basic vitals monitoring, pulse rate monitoring is the most important healthcare necessity. A multimedia video stream data acquired by built-in smartphone camera can be used to estimate it. In this paper, an algorithm that uses only smartphone camera as a sensor to estimate pulse rate using PhotoPlethysmograph (PPG) signals is proposed. The results obtained by the proposed algorithm are compared with the actual pulse rate and the maximum error found is 3 beats per minute. The standard deviation in percentage error and percentage accuracy is found to be 0.68 % whereas the average percentage error and percentage accuracy is found to be 1.98 % and 98.02 % respectively.
内置智能手机传感器的广泛使用和发展以及大数据处理的发展在包括医疗保健在内的多个领域都带来了好处。在基本生命体征监测中，脉率监测是最重要的医疗保健需求之一。可以使用内置智能手机摄像头获取的多媒体视频流数据来估计它。本文提出了一种仅使用智能手机摄像头作为传感器通过光电体积描记图 (PPG) 信号来估算脉率的算法。将所提出算法获得的结果与实际脉率进行比较，发现最大误差为 3 次/分钟。发现百分比误差和百分比准确率的标准偏差为 0.68％，而平均百分比误差和百分比准确率分别为 1.98％和 98.02％。
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