Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals

Table 1

Summary of the existing various decomposition and representation methods for entropy-based pattern learning in the interest of effectively extracting entropy measures from physiological signals.

Study	Decomposition and representation method	Entropy measures	ML	Application domains	Year
[27]	IMFs of MEMD for EEG signals	Shannon entropy, etc.	KNN, etc.	Emotion recognition	2018
[28]	IMFs of EEMD for ECG signals	SampEn, etc.	SMO-SVM	Arrhythmic risk prediction	2017
[29]	15 levels decomposition of FAWT for EEG	Cross correntropy, etc.	LS-SVM	Focal EEG Detection	2017
[30]	Sub-band signals of TQWT for EEG	MulFuEn	LS-SVM	Focal EEG analysis	2017
[31]	Sub-bands of TQWT for EEG	Kraskov entropy	LS-SVM	Epileptic seizure detection	2017
[32]	Four levels decomposition of OWFBs	ShWavEn, RyWavEn	LS-SVM	Focal EEG Detection	2017
[33]	Three levels decomposition of WPD for ECG	ApEn	SVM	Arrhythmia evaluation	2016
[34]	Five frequency bands of STFT for EEG	Differential entropy	DBN	Emotion recognition	2015
[35]	Six levels decomposition of DWT for EEG	Wavelet entropy, etc.	KNN, etc.	Focal EEG classification	2015
[36]	2‒5 levels decomposition of WPD for EEG	ApEn, etc.	ELM, SVM	Epileptic EEG and five mental tasks classification	2015
[38]	IMFs of EMD for EEG	Spectral entropy, etc.	LS-SVM	Classification of focal EEG	2015
[39]	Fifth levels decomposition of DWT for EEG	FuzApEn	SVM	Epileptic seizure detection	2014

IMFs, intrinsic mode functions; MEMD, multivariate empirical mode decomposition; FAWT, flexible analytic wavelet transform; EEMD, ensemble empirical mode decomposition; TQWT, tunable-Q wavelet transform; OWFBs, orthogonal wavelet filter banks; WPD, wavelet packet decomposition; STFT, short-time Fourier transform; EMD, empirical mode decomposition; DWT, discrete wavelet transform; MulFuEn, multivariate fuzzy entropy; ShWavEn, Shannon wavelet entropy; RyWavEn, Rényi wavelet entropy; FuzApEn, fuzzy approximate entropy; KNN, -nearest neighbour; LS-SVM, least squares support vector machine; SMO-SVM, sequential minimal optimization-support vector machine; ELM, extreme learning machine; DBN, deep belief network.