Non-contact Real-time heart rate measurements based on high speed circuit technology research

Jizhe Wu; Xiaohua Liu; Lingqin Kong; Cong Shi; Ming Liu; Mei Hui; Liquan Dong; Yuejin Zhao

doi:10.1117/12.2193435

5 August 2015 Non-contact Real-time heart rate measurements based on high speed circuit technology research

Jizhe Wu, Xiaohua Liu, Lingqin Kong, Cong Shi, Ming Liu, Mei Hui, Liquan Dong, Yuejin Zhao

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 96220L (2015) https://doi.org/10.1117/12.2193435
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

In recent years, morbidity and mortality of the cardiovascular or cerebrovascular disease, which threaten human health greatly, increased year by year. Heart rate is an important index of these diseases. To address this status, the paper puts forward a kind of simple structure, easy operation, suitable for large populations of daily monitoring non-contact heart rate measurement. In the method we use imaging equipment video sensitive areas. The changes of light intensity reflected through the image grayscale average. The light change is caused by changes in blood volume. We video the people face which include the sensitive areas (ROI), and use high-speed processing circuit to save the video as AVI format into memory. After processing the whole video of a period of time, we draw curve of each color channel with frame number as horizontal axis. Then get heart rate from the curve. We use independent component analysis (ICA) to restrain noise of sports interference, realized the accurate extraction of heart rate signal under the motion state. We design an algorithm, based on high-speed processing circuit, for face recognition and tracking to automatically get face region. We do grayscale average processing to the recognized image, get RGB three grayscale curves, and extract a clearer pulse wave curves through independent component analysis, and then we get the heart rate under the motion state. At last, by means of compare our system with Fingertip Pulse Oximeter, result show the system can realize a more accurate measurement, the error is less than 3 pats per minute.

Citation Download Citation

Jizhe Wu, Xiaohua Liu, Lingqin Kong, Cong Shi, Ming Liu, Mei Hui, Liquan Dong, and Yuejin Zhao "Non-contact Real-time heart rate measurements based on high speed circuit technology research", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220L (5 August 2015); https://doi.org/10.1117/12.2193435

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KEYWORDS

Heart

Video

Image processing

Video processing

Independent component analysis

Blood

Signal processing

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