Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
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Society of Physical Therapy Science
2014
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my.unimap-345862014-05-21T07:28:46Z Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) Murugappan, M., Dr. Murugappan, Subbulakshmi Zheng, Bong Siao murugappan@unimap.edu.my subbulakshmi@unimap.edu.my wendy880806@gmail.com Discrete wavelet transform Heart rate variability Human emotions Link to publisher's homepage at https://www.jstage.jst.go.jp/ [Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions (happiness, disgust, fear, sadness, and neutral) using heart rate variability (HRV) signals derived from an electrocardiogram (ECG). [Subjects] Twenty healthy university students (10 males and 10 females) with a mean age of 23 years participated in this experiment. [Methods] All five emotions were induced by audio-visual stimuli (video clips). ECG signals were acquired using 3 electrodes and were preprocessed using a Butterworth 3rd order filter to remove noise and baseline wander. The Pan-Tompkins algorithm was used to derive the HRV signals from ECG. Discrete wavelet transform (DWT) was used to extract statistical features from the HRV signals using four wavelet functions: Daubechies6 (db6), Daubechies7 (db7), Symmlet8 (sym8), and Coifet5 (coif5). The k-nearest neighbor (KNN) and linear discriminate analysis (LDA) were used to map the statistical features into corresponding emotions. [Results] KNN provided the maximum average emotion classification rate compared to LDA for five emotions (sadness - 50.28%; happiness - 79.03%; fear - 77.78%; disgust - 88.6%; and neutral - 78.34%). [Conclusion] The results of this study indicate that HRV may be a reliable indicator of changes in the emotional state of subjects and provides an approach to the development of a real-time emotion assessment system with a higher reliability than other systems. 2014-05-21T07:28:46Z 2014-05-21T07:28:46Z 2013-06 Article Journal of Physical Therapy Science, vol. 25(7), 2013, pages 753-759 2187-5626 (Online) 0915-5287 (Print) https://www.jstage.jst.go.jp/article/jpts/25/7/25_jpts-2012-446/_article http://dspace.unimap.edu.my:80/dspace/handle/123456789/34586 http://dx.doi.org/10.1589/jpts.25.753 en Society of Physical Therapy Science |
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Discrete wavelet transform Heart rate variability Human emotions |
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Discrete wavelet transform Heart rate variability Human emotions Murugappan, M., Dr. Murugappan, Subbulakshmi Zheng, Bong Siao Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
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Link to publisher's homepage at https://www.jstage.jst.go.jp/ |
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murugappan@unimap.edu.my |
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murugappan@unimap.edu.my Murugappan, M., Dr. Murugappan, Subbulakshmi Zheng, Bong Siao |
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Article |
author |
Murugappan, M., Dr. Murugappan, Subbulakshmi Zheng, Bong Siao |
author_sort |
Murugappan, M., Dr. |
title |
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
title_short |
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
title_full |
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
title_fullStr |
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
title_full_unstemmed |
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) |
title_sort |
frequency band analysis of electrocardiogram (ecg) signals for human emotional state classification using discrete wavelet transform (dwt) |
publisher |
Society of Physical Therapy Science |
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2014 |
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http://dspace.unimap.edu.my:80/dspace/handle/123456789/34586 |
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1643797530223312896 |
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13.18916 |