Novel Fingertip Image-Based Heart Rate Detection Methods for a Smartphone.
Novel Fingertip Image-Based Heart Rate Detection Methods for a Smartphone.
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DOI：
10.3390/s17020358
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发表时间：
2017-02-12
期刊：
影响因子：
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通讯作者：
Chong JW
中科院分区：
文献类型：
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作者：
Zaman R;Cho CH;Hartmann-Vaccarezza K;Phan TN;Yoon G;Chong JW
我们假设，我们的指尖基于图像的心率检测方法使用智能手机可靠地检测到受试者的心律和心率。我们提出了基于指尖曲线运动和基于指尖图像强度的检测方法，这两种方法都使用从智能手机摄像头获得的连续指尖图像的运动。为了研究所提出的方法的性能，心律和速率的所提出的方法相比，传统的方法，这是基于平均图像像素强度。使用智能手机，我们从每个招募的受试者收集了120 s的脉动时间序列数据。结果表明，所提出的指尖曲线运动为基础的方法检测心率的最大偏差为0.0832 Hz和0.124 Hz，分别使用基于时域和频域的估计，相比于传统的方法。此外，另一种提出的基于指尖图像强度的方法分别使用基于时间和基于频率的估计来检测具有0.125 Hz和0.03 Hz的最大偏差的心率。
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.