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Proceedings Paper

Accurate measurement of imaging photoplethysmographic signals based camera using weighted average
Author(s): Zongguang Pang; Lingqin Kong; Yuejin Zhao; Huijuan Sun; Liquan Dong; Mei Hui; Ming Liu; Xiaohua Liu; Lingling Liu; Xiaohui Li; Rongji Li
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Paper 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.

Paper Details

Date Published: 12 January 2018
PDF: 7 pages
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
Show Author Affiliations
Zongguang Pang, Beijing Institute of Technology (China)
Lingqin Kong, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Huijuan Sun, Beijing Union Univ. (China)
Liquan Dong, Beijing Institute of Technology (China)
Mei Hui, Beijing Institute of Technology (China)
Ming Liu, Beijing Institute of Technology (China)
Xiaohua Liu, Beijing Institute of Technology (China)
Lingling Liu, Beijing Institute of Technology (China)
Xiaohui Li, Beijing Institute of Technology (China)
Rongji Li, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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