Detection of Breathing and Heart-Rate Pattern Change Using Off-the-shelf WiFi Devices 


Vol. 42,  No. 8, pp. 1668-1676, Aug.  2017
10.7840/kics.2017.42.8.1668


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  Abstract

The Channel State Information (CSI) represents the Channel Frequency Response (CFR) for OFDM subcarrier between transmit-receive antenna pairs. The value of CSI include signal strength and phase information caused by multipath effect. Using the CSI, we suggest a new method that distinguishes whether the pattern of breathing and heart-rate of a person is changed. The signal waves of CSI amplitude can represent the periodic up-and-down chest movements caused by breathing and heart-rate, and we can detect prominent changes of the signal pattern using Dynamic Time Warping (DTW) algorithm. We evaluated our solution of distinguishing breathing and heart-rate pattern change in 20 experiments with 10 participants; it achieved 92% accuracy, which is comparable to that of commercial sensors. This low-cost method will be useful for monitoring our health in everyday life.

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  Cite this article

[IEEE Style]

S. Lee, S. Jeon, Y. D. Park, Y. Suh, "Detection of Breathing and Heart-Rate Pattern Change Using Off-the-shelf WiFi Devices," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1668-1676, 2017. DOI: 10.7840/kics.2017.42.8.1668.

[ACM Style]

Sangyoun Lee, Seokseong Jeon, Young Deok Park, and Young-Joo Suh. 2017. Detection of Breathing and Heart-Rate Pattern Change Using Off-the-shelf WiFi Devices. The Journal of Korean Institute of Communications and Information Sciences, 42, 8, (2017), 1668-1676. DOI: 10.7840/kics.2017.42.8.1668.

[KICS Style]

Sangyoun Lee, Seokseong Jeon, Young Deok Park, Young-Joo Suh, "Detection of Breathing and Heart-Rate Pattern Change Using Off-the-shelf WiFi Devices," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1668-1676, 8. 2017. (https://doi.org/10.7840/kics.2017.42.8.1668)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880