FCM clustering of emotional stress using ECG features
Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
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2014
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my.unimap-345642014-05-21T04:32:17Z FCM clustering of emotional stress using ECG features Zheng, Bong Siao Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. wendy880806@gmail.com murugappan@unimap.edu.my s.yaacob@unimap.edu.my Electrocardiogram (ECG) Emotional stress Fuzzy C-Means clustering Negative emotions Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in emotional stress inducement through Electrocardiogram (ECG). 20 university students with a mean age of 24-years have participated in this study. Audio-visual stimuli (video clips) are used to design a data acquisition protocol for inducing the emotional stress on the subjects. Perceived Stress Scale (PSS-10) questionnaire is used to evaluate the subject's initial stress behavior. Self Assessment Manikin (SAM) and Self Assessment Form is used to evaluate the subject emotional response during and after the data acquisition, respectively. Statistical features such as heart rate (HR), approximate entropy (ApEn), mean R amplitude (MRA), mean R-R interval (MRRI), standard deviation of normal to normal R-R intervals (SDNN) and root mean square of successive heartbeat interval differences (RMSSD) are extracted from HRV signals. Finally, the emotional stress assessment on this work consists of two stages namely; three valence classification (positive emotions, negative emotions and neutral) and emotional stress classification where negative emotions are further classified into either emotional stress or non emotional stress. To visually observe the distance between each class, Fuzzy C Means (FCM) Clustering plot is implemented and Euclidean distance measure. In FCM, the centroid, distance between each cluster, and objective function is used for performance evaluation. Among the different types of features, HR plays a significant role on distinguishing three valence states and emotional stress states. 2014-05-21T04:32:17Z 2014-05-21T04:32:17Z 2013-04 Working Paper p. 305-309 978-1-4673-4865-2 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6577064 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34564 http://dx.doi.org/10.1109/iccsp.2013.6577064 en Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013); IEEE Conference Publications |
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Malaysia |
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Universiti Malaysia Perlis |
| content_source |
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| language |
English |
| topic |
Electrocardiogram (ECG) Emotional stress Fuzzy C-Means clustering Negative emotions |
| spellingShingle |
Electrocardiogram (ECG) Emotional stress Fuzzy C-Means clustering Negative emotions Zheng, Bong Siao Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. FCM clustering of emotional stress using ECG features |
| description |
Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp |
| author2 |
wendy880806@gmail.com |
| author_facet |
wendy880806@gmail.com Zheng, Bong Siao Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. |
| format |
Working Paper |
| author |
Zheng, Bong Siao Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. |
| author_sort |
Zheng, Bong Siao |
| title |
FCM clustering of emotional stress using ECG features |
| title_short |
FCM clustering of emotional stress using ECG features |
| title_full |
FCM clustering of emotional stress using ECG features |
| title_fullStr |
FCM clustering of emotional stress using ECG features |
| title_full_unstemmed |
FCM clustering of emotional stress using ECG features |
| title_sort |
fcm clustering of emotional stress using ecg features |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34564 |
| _version_ |
1643797523013304320 |
| score |
13.214268 |