User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform 


Vol. 40,  No. 6, pp. 1120-1129, Jun.  2015


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  Abstract

In this paper, we propose an algorithm to detect movement noise in PPG(Photoplethysmography) measurements. Movement noise significantly deteriorate PPG signals in measurement, so that a movement noise detection algorithm is critical before using measured PPG signals for applications such as diagnosis. To detect movement noise, we apply wavelet transform to PPG signals instead of short-time Fourier transform and decide if the measured signlas include movement noise. To that end, we adaptively choose a wavelet, which is the most similar to the subject’s PPG pattern. In the case when movement noise is intentionally added in the 20% and 30% of the total experiment time, our algorithm detects time-slots including movement and outperforms previous works.

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  Cite this article

[IEEE Style]

D. Ban and S. Kwon, "User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1120-1129, 2015. DOI: .

[ACM Style]

Dahee Ban and Sungoh Kwon. 2015. User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform. The Journal of Korean Institute of Communications and Information Sciences, 40, 6, (2015), 1120-1129. DOI: .

[KICS Style]

Dahee Ban and Sungoh Kwon, "User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1120-1129, 6. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880