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Table 6 Analysis on the basis preprocessing for artefact removal and feature extraction transform

From: Mental state and emotion detection from musically stimulated EEG

Reference

Preprocessing approach

Feature extraction

[11]

Offline manual

FFT

[12]

Offline manual

Time domain

[13]

Offline manual

FFT

[14]

Filter of 0–100 Hz, notch filter of 60 Hz and offline manual

STFT

[15]

Filter of 0–100 Hz, notch filter of 60 Hz and offline manual

STFT

[16]

Filter of 0–100 Hz, notch filter of 60 Hz and offline manual

STFT

[17]

Filter of 0–100 Hz, notch filter of 60 Hz and offline manual

STFT

[35]

Offline manual

FFT

[18]

Offline manual

Time-frequency transform

(Zhao-Atlas-Marks STFT, Hilbert Huang Spectrum)

[19]

Offline manual

STFT

[21]

Offline manual

Wavelet

[20]

Offline manual

TF

[36]

Filter, offline manual, PCA

FBCSP

[22]

Offline manual

DTF

[23]

Offline manual

hybrid domain

[24]

Offline manual

Wavelet

[25]

Offline manual

DFA

[26]

EEG Lab Tool, ICA

FFT

[27,28,29]

Instrumental Raag Bhairavi

FFT

[30]

Instrumental Raag Bhairavi

FFT

  1. FFT Fast Fourier transform, STFT short Fourier transform, TF time frequency, DFA dendred facture analysis, ICA independent component analysis, FBCSP filter-bank common spatial patterns