… of schizophrenia studies have been examining electroencephalography (EEG) data using
time-frequency … of spectral decomposition of EEG, time-frequency analyses, types of measures …

… time-frequency domain is crucial for the automatic detection of SZ. Therefore, this paper
presents the SchizoNET model combining the Margenau–Hill time-frequency … the time-frequency …

… This article investigates the performance of various time–frequency methods and CNN-based
models. Three conditions have been tested to detect SZ patients from normal subjects. …

… This paper concerns the diagnosis of schizophrenia using EEG, which … (Time-Frequency
transformation followed by Feature-Optimization), a novel approach for schizophrenia detection …

… processing, time frequency data was retrieved for the five frequency bands … frequency bands
following artifact removal. The study analysed EEG signals of 90 patients with schizophrenia …

… Thereupon, the signals would be ported to the cloud, where our trained sz detection machine
learning model is placed. This model will automatically detect the unknown class and send …

… schizophrenic subjects. As a result, the maximum classification ACC of 83.60% was obtained.
In [12], a time… classifier were proposed for the schizophrenia detection, and this procedure …

… Additionally the paper proposes a method to detect schizophrenia (Sz), based on analysing
multi-channel electroencephalogram (EEG) signals. Using proposed multivariate iterative …

… the strength of the proposed method in accurate detection of Schizophrenia cases. The
proposed method can be easily deployed in real-time applications, since it is implemented using …

… Short-time Fourier Transform (STFT) in order to have a useful representation of frequency-time
features. This work is the first in the relevant literature in using 2D timefrequency features …