1D-convolutional neural network approach and feature extraction methods for automatic detection of schizophrenia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02479-7.pdf
Reference44 articles.
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2. Goshvarpour, A., Goshvarpour, A.: Schizophrenia diagnosis by weighting the entropy measures of the selected EEG channel. J. Med. Biol. Eng. (2022). https://doi.org/10.1007/s40846-022-00762-z
3. Ko, D.W., Yang, J.J.: EEG-Based schizophrenia diagnosis through time series image conversion and deep learning. Electronics (2022). https://doi.org/10.3390/electronics11142265
4. Whiteford, H.A., Ferrari, A.J., Degenhardt, L., Feigin, V., Vos, T.: The global burden of mental, neurological and substance use disorders: an analysis from the Global Burden of Disease Study 2010. PLoS ONE (2015). https://doi.org/10.1371/journal.pone.0116820
5. Owens, S.J., Murphy, C.E., Purves-Tyson, T.D., Weickert, T.W., Shannon Weickert, C.: Considering the role of adolescent sex steroids in schizophrenia. J. Neuroendocrinol. (2017). https://doi.org/10.1111/jne.12538
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