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Effective PPG Signal Processing Method for Detecting Emotional Stimulus
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 Title & Authors
Effective PPG Signal Processing Method for Detecting Emotional Stimulus
Oh, Dong-Gi; Min, Byung-Seok; Kwon, Sung-Oh; Kim, Hyun-Joong;
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In this study, we propose a signal processing algorithm to measure the arousal level of a human subject using a PPG(Photoplethysmography) sensor. From the measured PPG signals, the arousal level is determined by PPI(Pulse to Pulse Interval) and discrete-time signal processing. We ran psychophysical experiments displaying visual stimuli on TV display while measuring PPG signal from a finger, where the nature landscape scenes were used for restorative effect, and the urban environments were used to stimulate the stress. However, the measured PPG signals may include noise due to subject movement and measurement error, which results in incorrect detections. In this paper, to mitigate the noise impact on stimulus detection, we propose a detecting algorithm using digital signal processing methods and statistics of measured signals. A filter is adopted to remove a high frequency noise and adaptively designed taking into account the statistics of the measured PPG signals. Moreover we employ a hysteresis method to reduce the distortion of PPI in decision of emotional. Via experiment, we show that the proposed scheme reduces signal noise and improves stimulus detection.
Emotion;PPG;PPI;Hamming filter;Hysteresis;
 Cited by
동잡음에 강건한 PPG 신호 측정 방안,김민호;김태욱;장성환;반다희;민병석;권성오;

한국통신학회논문지, 2013. vol.38C. 12, pp.1085-1094 crossref(new window)
Evaluation of PPG signals regarding to video attributes of smart-phone camera, Journal of the Korea Institute of Information and Communication Engineering, 2015, 19, 4, 917  crossref(new windwow)
J. Allen, "Photoplethysmography and its application in clinical physiological measurement", Physiological Measurement, vol.28, no.3, pp.R1-R39, 2007. crossref(new window)

R. Ulrich, "Stress recovery during exposure to natural and urban environments", J. of Environmental Psychology, 11, pp.201-230, 1991. crossref(new window)

K. Laumann, "Selective attention and heart rate responses to natural and urban environments", J. of Environmental Psychology, 23, pp.125-134, 2003. crossref(new window)

M. Frankenhaeuser, G. Johansson, "Task demand as reflected in catecholamine excertion and heart rate", Journal of Human Stress, 2, pp.15-23, 1976.

D. Hasson, T. Theorell, Y. Liljeholm-Johansson, B. Canlon, "Psychosocial and physiological correlates of self-reported hearing problems in male and female musicians in symphony orchestras", International Journal of Psychophysiology, 74, pp.93-100, 2009. crossref(new window)

S. W. Porges, "The Polyvagal Theory: Phylogenetic contributions to social behavior", Physiology & Behavior, 79(3), pp.503-513, 2003. crossref(new window)

D. U. Silverthorn, Human Physiology, Addison-Wesley, 4th, pp.455-472, 2007.

C. Wei, L. Sheng, G. Lihua, C. Yuquan, P. Min, "Study on conditioning and feature extraction algorithm of photoplethysmography signal for physiologicalparameters detection", International Congress on Image and Signal processing, 4th, pp.2194-2197, 2011.

김치중 외 5명, "PPG 분석을 이용한 각성도 평가에 관한 연구", Journal of the Ergonomics Society of Korea, Vol.29, No.1, pp.113-120, 2010. crossref(new window)

최규식 외 3명, "PPG 측정신호로부터의 심박 검출 성능 향상에 관한 연구", 한국항행학회, 제13권, 제6호, pp.926-932, 2009.

A. V. Oppenheim, R. W. schafer, Discrete-time Signal Processing, Prentice-Hall, 1989.

J. H. McClellan, R. W. Schafer, M. A . Yoder, Signal Processing First, Pearson Prentice-Hall, 2003.

Biopac Inc., Available at

이인혜, 정신생리학, 학지사, pp.32-44, 1997.