[PDF][PDF] Classification of people who suffer schizophrenia and healthy people by EEG signals using deep learning
CAT Naira, C Jos - International Journal of Advanced …, 2019 - pdfs.semanticscholar.org
More than 21 million people worldwide suffer from schizophrenia. This serious mental
disorder exposes people to stigmatization, discrimination, and violation of their human …
disorder exposes people to stigmatization, discrimination, and violation of their human …
1D-convolutional neural network approach and feature extraction methods for automatic detection of schizophrenia
H Göker - Signal, Image and Video Processing, 2023 - Springer
Schizophrenia is a complex psychiatric disorder characterized by delusions, hallucinations,
disorganized speech, mood disturbances, and abnormal behavior. Early diagnosis of …
disorganized speech, mood disturbances, and abnormal behavior. Early diagnosis of …
The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms
PK Sahu, K Jain - Frontiers in Biomedical Technologies, 2024 - fbt.tums.ac.ir
Purpose: At resting state, the human brain releases cycles of Electroencephalography
(EEG), which has been proven aberrant in persons with schizophrenia. Deep learning …
(EEG), which has been proven aberrant in persons with schizophrenia. Deep learning …
[引用][C] PAPER 6–3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Y Li, M Shen, P Wen, B Song - REAL-TIME EPILEPSY SEIZURE DETECTION AND …, 2023
[引用][C] Schizophrenia diagnosis using the GRU-layer's alpha-EEG rhythm's dependability
PK Sahu, K Jain - … Journal of Computing and Digital Systems, 2023 - University Of Bahrain
[PDF][PDF] Evaluating domain knowledge and time series features for automated detection of schizophrenia from EEG signals
Over the recent years, Schizophrenia has become a serious mental disorder that is affecting
almost 21 million people globally. There are different symptoms to recognize schizophrenia …
almost 21 million people globally. There are different symptoms to recognize schizophrenia …
Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients
Schizophrenia is a fatal mental disorder, which affects millions of people globally by the
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …
Identification of Schizophrenia and Depression Based on Deep Learning and EEG
Y Zhang - 2024 4th International Conference on Consumer …, 2024 - ieeexplore.ieee.org
Schizophrenia (SCH) and depression (DEP) may be misdiagnosed, mainly because their
symptoms have certain similarities and are susceptible to emotional changes. In this study, a …
symptoms have certain similarities and are susceptible to emotional changes. In this study, a …
Schizophrenia Identification Through Deep Learning on Spectrogram Images
A Prabhakara Rao, G Prasanna Kumar… - … on Cognitive Computing …, 2023 - Springer
Schizophrenia (SZ) is one of the mental disorder due to which many people are suffering
around the world. People suffering with this disorder experience hallucinations, delusions …
around the world. People suffering with this disorder experience hallucinations, delusions …
Rhythmic Pattern of EEG for Identifying Schizophrenia
Schizophrenia (SZ) is a major neuropsychiatric disorder. Neuroimaging studies have
provided compelling evidences of both structural and functional brain abnormalities in SZ …
provided compelling evidences of both structural and functional brain abnormalities in SZ …