… of patients in Malaysia which affects social functioning. EEG is used in schizophrenia
patients to … Mismatch field (MMF) in the event-related potential (ERP) of the patient is reduced …

… This paper introduces an EMD based scheme for the first time for automatic identification
of SZ patients using EEG signals. EMD transfers non-linear and non-stationary …

… In this paper, EEG signals of 20 schizophrenic patients and … For each case, 22 channels of
EEG were recorded. A two-… in these areas between the schizophrenic and normal participants. …

… been applied to EEG signals of the two groups of schizophrenic patients and control participants…
The results showed that the time series generated by schizophrenic patients had a lower …

… Three conditions of 32 normal and 49 SZ patients are considered in this study. The EEG
signals are transformed to the TF domain using STFT, CWT, and SPWVD methods. The same …

… the PSD of EEG signal in the schizophrenic patient has a more regular geometrical shape
than the healthy subject. Also, the PSD of EEG signal of schizophrenic patients occupies more …

… In [18] the authors used a CNN with Random Forest and a voting layer to classify highrisk
individuals, clinically stable first-episode patients with schizophrenia and healthy controls. …

… This paper presents the design of a machine learningbased classifier for identifying EEG
signals of patients with schizophrenia compared to healthy controls. The primary machine …

… Sixteen EEG channels from 19 main channels that had the … ) were extracted from each
selected EEG channel in 5 frequency … ’s EEG signal and separates the schizophrenia patient and …

… EEG signals from 14 healthy subjects and 14 SZ patients and … Since EEG signals are
nonlinear in nature, nonlinear feature … between EEG signals of normal versus SZ patients [25]. …