12 January 2018 Accurate measurement of imaging photoplethysmographic signals based camera using weighted average
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Abstract
Imaging Photoplethysmography (IPPG) is an emerging technique for the extraction of vital signs of human being using video recordings. IPPG technology with its advantages like non-contact measurement, low cost and easy operation has become one research hot spot in the field of biomedicine. However, the noise disturbance caused by non-microarterial area cannot be removed because of the uneven distribution of micro-arterial, different signal strength of each region, which results in a low signal noise ratio of IPPG signals and low accuracy of heart rate.

In this paper, we propose a method of improving the signal noise ratio of camera-based IPPG signals of each sub-region of the face using a weighted average. Firstly, we obtain the region of interest (ROI) of a subject’s face based camera. Secondly, each region of interest is tracked and feature-based matched in each frame of the video. Each tracked region of face is divided into 60x60 pixel block. Thirdly, the weights of PPG signal of each sub-region are calculated, based on the signal-to-noise ratio of each sub-region. Finally, we combine the IPPG signal from all the tracked ROI using weighted average. Compared with the existing approaches, the result shows that the proposed method takes modest but significant effects on improvement of signal noise ratio of camera-based PPG estimated and accuracy of heart rate measurement.
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Zongguang Pang, Zongguang Pang, Lingqin Kong, Lingqin Kong, Yuejin Zhao, Yuejin Zhao, Huijuan Sun, Huijuan Sun, Liquan Dong, Liquan Dong, Mei Hui, Mei Hui, Ming Liu, Ming Liu, Xiaohua Liu, Xiaohua Liu, Lingling Liu, Lingling Liu, Xiaohui Li, Xiaohui Li, Rongji Li, Rongji Li, } "Accurate measurement of imaging photoplethysmographic signals based camera using weighted average", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1062015 (12 January 2018); doi: 10.1117/12.2288676; https://doi.org/10.1117/12.2288676
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