Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

• Main Authors: Bhattacharyya, A., Pachori, R.B., Upadhyay, A., Acharya, U.R.
• Format: Article
• Published: MDPI 2017
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/19224/; http://dx.doi.org/10.3390/app7040385
• Institution: Universiti Malaya

This paper analyzes the underlying complexity and non-linearity of electroencephalogram (EEG) signals by computing a novel multi-scale entropy measure for the classification of seizure, seizure-free and normal EEG signals. The quality factor (Q) based multi-scale entropy measure is proposed to compu...