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Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Puthankattil and Joseph [22,23] used wavelet for signal decomposition, as did Faust et al [25], whereas Acharya et al [26] (like Čukić et al [33]) used the broadband signal for analysis. Bairy et al [27] used cosine transform to decompose the signal before further analysis, although wavelets and cosine transform are also considered to be reductionist approaches, as is the Fourier approach [12].

Milena Čukić, Victoria López, Juan Pavón

J Med Internet Res 2020;22(11):e19548