Effective PPG Signal Processing Method for Detecting Emotional Stimulus 


Vol. 37,  No. 5, pp. 393-402, May  2012


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  Abstract

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.

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  Cite this article

[IEEE Style]

D. Oh, B. Min, S. Kwon, H. Kim, "Effective PPG Signal Processing Method for Detecting Emotional Stimulus," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 393-402, 2012. DOI: .

[ACM Style]

Donggi Oh, Byungseok Min, Sungoh Kwon, and Hyunjoong Kim. 2012. Effective PPG Signal Processing Method for Detecting Emotional Stimulus. The Journal of Korean Institute of Communications and Information Sciences, 37, 5, (2012), 393-402. DOI: .

[KICS Style]

Donggi Oh, Byungseok Min, Sungoh Kwon, Hyunjoong Kim, "Effective PPG Signal Processing Method for Detecting Emotional Stimulus," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 393-402, 5. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880