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User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform
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 Title & Authors
User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform
Ban, Dahee; Kwon, Sungoh;
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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.
 Keywords
PPG;Movement noise;Noise detection algorithm;
 Language
Korean
 Cited by
 References
1.
S. C. Lee and W. Y. Chung, "Development of mobile u-healthcare system in WSN," J. KICS, vol. 37, no. 4, pp. 338-346, Apr. 2014.

2.
H. S. Park, D. S. Lee, and S. I. Kim, "Detection of epileptiform activities in the EEG using wavelet and neural network," J. IEEK, vol. 35, no. 2, pp. 218-226, Feb. 1998.

3.
S. S. Shin, J. H. Kang, and S. H. Kim, "Detection of ECG characteristic points for heart disease diagnosis," in Proc. KISS Fall Conf. 2002, pp. 199-201. Hwaseong, Korea, Oct. 2002.

4.
J. Y. Cha, H. S. Choi, J. Y. Shin, and K. J. Lee, "Unconstrained detection of heart rate and respiration using PPG sensor," in Proc. CICS 2008, pp. 482- 483, Kangwon, Korea, Oct. 2008.

5.
J. Allen, "Photoplethysmography and its application in clinical physiological measurement," Physiological Measurement, vol. 28, no. 3, pp. 1-39, Feb. 2007. crossref(new window)

6.
D. G. Oh, B. S. Min, S. O. Kwon, and H. J. Kim, "Effective PPG signal processing method for etecting emotional stimulus," J. KICS, vol. 37, no. 5, pp. 393-402, May 2012. crossref(new window)

7.
J. W. Lim and E. K. Kim, "Noise reduction by filter improvement in mixed noise image," J. IEEK, vol. 50, no. 5, pp. 231-241, May 2013.

8.
Y. S. Kim, S. H. Hong, M. S. Lee, H. Y. Noh, and Y. S. Chi, "The interval detection and noise reduction system to assist electrocardiogram analysis," J. Korean Soc. Broadcast Eng., pp. 246-248, Yongin, Korea, Nov. 2012.

9.
M. H. Kim, T. W. Kim, S. H. Jang, D. H. Ban, B. S. Min, and S. O. Kwon, "Noise-robust algorithm for PPG signal measurement," J. KICS, vol. 38, no. 12, pp. 1085-1094, Nov. 2013.

10.
P. K. Kim and C. B. Ahn, "Algorithm of the detection of the feature points using distributed feature points of the Second Derivative of Photoplethysmogram waveform," in Proc. IEEK 2009, pp. 1988-1989, Muju, Korea, Jul. 2009.

11.
S. W. Kim, J. H. Lee, K. C. Nam, S. C. Kim, E. J. Cha, and D. W. Kim, "Comparison of peripheral vascular compliance between normal and diabetic groups using the second derivation of photoplethysmogram," J. IEEK, vol. 44, no. 4, pp. 15-20, Jul. 2007.

12.
R. M. Rao and A. S. Bopardikar, Wavelet transforms : Introduction to theory and application, Pearson Education Asia, 1999.

13.
LAXTHA Inc., ubpulse T1 user guide (2013), Retrieved Apr. 2, 2014, from http://www.laxtha.com/ProductView.asp?Model=ubpulse%20T1

14.
D. H. Ban, H. J. Son, S. H. Song, and S. O. Kwon, "Movement noise detection algorithm using wavelet transform" in Proc. KICS Summer Conf. 2014, pp. 11-12, Jeju Island, Korea, Jun. 2014.