Sensors 2017, 17(2), 358; https://doi.org/10.3390/s17020358
Novel Fingertip Image-Based Heart Rate Detection Methods for a Smartphone
Rifat Zaman 1, Chae Ho Cho 1, Konrad Hartmann-Vaccarezza 2
, Tra Nguyen Phan 1, Gwonchan Yoon 1 and Jo Woon Chong 1,*
, Tra Nguyen Phan 1, Gwonchan Yoon 1 and Jo Woon Chong 1,*
1
Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA
2
Instituto de Ingenieria Biológica y Médica, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
*
Author to whom correspondence should be addressed.
Academic Editor: Panicos Kyriacou
Received: 6 August 2016 / Revised: 23 January 2017 / Accepted: 24 January 2017 / Published: 12 February 2017
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
Abstract
We hypothesize that our fingertip image-based heart rate detection methods using smartphone reliably detect the heart rhythm and rate of subjects. We propose fingertip curve line movement-based and fingertip image intensity-based detection methods, which both use the movement of successive fingertip images obtained from smartphone cameras. To investigate the performance of the proposed methods, heart rhythm and rate of the proposed methods are compared to those of the conventional method, which is based on average image pixel intensity. Using a smartphone, we collected 120 s pulsatile time series data from each recruited subject. The results show that the proposed fingertip curve line movement-based method detects heart rate with a maximum deviation of 0.0832 Hz and 0.124 Hz using time- and frequency-domain based estimation, respectively, compared to the conventional method. Moreover, another proposed fingertip image intensity-based method detects heart rate with a maximum deviation of 0.125 Hz and 0.03 Hz using time- and frequency-based estimation, respectively. View Full-Text
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Zaman, R.; Cho, C.H.; Hartmann-Vaccarezza, K.; Phan, T.N.; Yoon, G.; Chong, J.W. Novel Fingertip Image-Based Heart Rate Detection Methods for a Smartphone. Sensors 2017, 17, 358.
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