Time Domain Analysis for Emotional EEG Signals of Stroke Patient and Normal Subject
Author:
Affiliation:
1. Universiti Malaysia Perlis (UniMAP),Faculty of Electrical Engineering & Technology,Arau,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10111091/10111098/10111252.pdf?arnumber=10111252
Reference16 articles.
1. A Pervasive Approach to EEG-Based Depression Detection
2. EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques;dadebayev;J King Saud Univ - Comput Inf Sci,2021
3. Emotional States Analyze from Scaling Properties of EEG Signals Using Hurst Exponent for Stroke and Normal Groups
4. Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals
5. Methods of EEG signal features extraction using linear analysis in frequency and time-frequency domains;al-fahoum;International Scholarly Research Notices,2014
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