In search of Emotional Manifestation in ECG Signal
Snigdha Madhab Ghosh1, Partha Mitra2, Sunandan Bhunia3
1Snigdha Madhab Ghosh, E&ECE Department, Indian Institute of Technology, Kharagpur, India.
2Partha Mitra,, ECE Department, Brainware Group of Institutions, Kolkata, India.
3Sunandan Bhunia, ECE Department, Haldia Institute of Technology, Haldia, West Bengal, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP:400-403 | Volume-2, Issue-6, January 2013.
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emotion detection recognition in physiological signal and categorization their of, is very challenging. There are many methods for detecting the emotional features from physiological and ECG is one of them. In this paper we have analyzed sixteen ECG signals of two different groups and tried to find some similarities among the same group and also between these two groups based on two parameters viz mean instantaneous frequency(MIF) and correlation coefficient, with an aim to classify their emotion.
Keywords: Electrocardiogram, emotion, empirical mode of decomposition, intrinsic mode function, mean instantaneous frequency