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Journal of Neurodevelopmental Cognition

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Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks

    Authors

    • Somaye Mohammadyan 1
    • Keivan Navi 1
    • Babak Majidi 2

    1 Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran

    2 Department of Computer Engineering, Khatam University, Tehran, Iran

,

Document Type : Original Article

10.52547/jncog.2022.103429
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Abstract

The number of patients with neuropsychological problems is increasing rapidly in the world. Autonomous methods are replacing the traditional diagnosis methods in detection and classification of many mental and neurological problems. Machine learning algorithms and especially deep neural networks are able to diagnose various neurological and psychological complications automatically. In this paper, a machine learning based framework is used for autonomous estimation of patients’ neuropsychological state. The proposed framework can automatically diagnose neuropsychological state of the patients and present a personalized solution for their problems. A convolutional neural networks is used for automatic profiling of patients and to classify their mental state according to their EEG signals. The proposed framework can be used to help patients to have better life experience.

Keywords

  • E-nurse
  • Convolutional neural networks
  • EEG
  • Deep neural network
  • Mental illness
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Journal of Neurodevelopmental Cognition
Volume 1, Issue 1 - Serial Number 1
June 2022
Pages 82-89
Files
  • XML
  • PDF 1.41 M
History
  • Receive Date: 10 May 2022
  • Revise Date: 13 June 2022
  • Accept Date: 21 June 2022
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How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
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Statistics
  • Article View: 445
  • PDF Download: 207

APA

Mohammadyan, S. , Navi, K. and Majidi, B. (2022). Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks. Journal of Neurodevelopmental Cognition, 1(1), 82-89. doi: 10.52547/jncog.2022.103429

MLA

Mohammadyan, S. , , Navi, K. , and Majidi, B. . "Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks", Journal of Neurodevelopmental Cognition, 1, 1, 2022, 82-89. doi: 10.52547/jncog.2022.103429

HARVARD

Mohammadyan, S., Navi, K., Majidi, B. (2022). 'Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks', Journal of Neurodevelopmental Cognition, 1(1), pp. 82-89. doi: 10.52547/jncog.2022.103429

CHICAGO

S. Mohammadyan , K. Navi and B. Majidi, "Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks," Journal of Neurodevelopmental Cognition, 1 1 (2022): 82-89, doi: 10.52547/jncog.2022.103429

VANCOUVER

Mohammadyan, S., Navi, K., Majidi, B. Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks. Journal of Neurodevelopmental Cognition, 2022; 1(1): 82-89. doi: 10.52547/jncog.2022.103429

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