Scalogram images are created by segmenting 4 s of data from the EEG signals. SZ-SCAN with separable convolution and 2 attention blocks is proposed to detect schizophrenia. With 99% accuracy, the proposed method outperformed nine state-of-the-art methods.
This study proposes an automatic SCZ detection method using separable convolution attention network (SCZ-SCAN).
Consequently, the EEG signal plays an important role in observing and detecting the abnormal electrical activities of the SZ brain. ...
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The electroencephalogram (EEG) serves as an essential tool in exploring brain activity and holds particular importance in the field of mental health ...
Aug 14, 2024 · SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals. Rewards 10 points. Resolved journal:Biomedical Signal Processing and ...
This paper proposes a local descriptors-based automated approach for SZ detection using electroencephalogram (EEG) signals. Specifically, we introduce a local ...
Nov 17, 2021 · The aim of this study is to develop an automated SCZ classification model using electroencephalogram (EEG) signals.
Missing: SCAN: | Show results with:SCAN:
A deep learn- ing approach in automated detection of schizophrenia using scalogram images of eeg signals. Physical and Engineering Sciences in. Medicine 45 ...
As an alternative, electroencephalography (EEG) signals are used as a sensitive biomarker to detect SZ. Several reasons drive the utilization of EEG signals.
This paper underscores the importance of integrating various techniques to enhance schizophrenia diagnosis and highlights AI's potential role in this process.