Multiresolution feature fusion for smart diagnosis of schizophrenia in adolescents using EEG signals
Numerous studies on early detection of schizophrenia (SZ) have utilized all available
channels or employed set of a few time domain or frequency domain features, while a …
channels or employed set of a few time domain or frequency domain features, while a …
Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals
A computerized detection system for the diagnosis of Schizophrenia (SZ) using a
convolutional neural system is described in this study. Schizophrenia is an anomaly in the …
convolutional neural system is described in this study. Schizophrenia is an anomaly in the …
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
Automated detection of schizophrenia using optimal wavelet-based norm features extracted from single-channel EEG
M Sharma, UR Acharya - Cognitive Neurodynamics, 2021 - Springer
Schizophrenia (SZ) is a mental disorder, which affects the ability of human thinking, memory,
and way of living. Manual screening of SZ patients is tedious, laborious and prone to human …
and way of living. Manual screening of SZ patients is tedious, laborious and prone to human …
A machine learning framework for automatic diagnosis of schizophrenia using eeg signals
Schizophrenia (ScZ) is a chronic brain disorder that affects speech, mood, behaviour,
cognitive ability, etc. The people suffering from this disease often misinterpret reality, lose …
cognitive ability, etc. The people suffering from this disease often misinterpret reality, lose …
Development of a machine learning based algorithm to accurately detect schizophrenia based on one-minute EEG recordings
R Buettner, D Beil, S Scholtz, A Djemai - 2020 - scholarspace.manoa.hawaii.edu
While diagnosing schizophrenia by physicians based on patients' history and their overall
mental health is inaccurate, we report on promising results using a novel, fast and reliable …
mental health is inaccurate, we report on promising results using a novel, fast and reliable …
SzHNN: a novel and scalable deep convolution hybrid neural network framework for schizophrenia detection using multichannel EEG
In the field of neuroscience, brain activity measurement and analysis are considered crucial
areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and …
areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and …
Investigating the Interpretability of Schizophrenia EEG Mechanism through a 3DCNN-based Hidden Layer Features Aggregation Framework
Z Guo, J Wang, T Jing, L Fu - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective Electroencephalogram (EEG) signals record brain activity, with
growing interest in quantifying neural activity through complexity analysis as a potential …
growing interest in quantifying neural activity through complexity analysis as a potential …
[PDF][PDF] Enhancing Early Detection of Schizophrenia through Multi-modal EEG Analysis: A Fusion of Wavelet Transform, Reconstructed Phase Space, and Deep …
A Al Fahoum, A Zyout - … on advances in signal processing and …, 2023 - researchgate.net
This article aims to describe a reliable expert system for the early diagnosis of schizophrenia
using only EEG signals. EEG is an inexpensive, safe, and non-invasive method for …
using only EEG signals. EEG is an inexpensive, safe, and non-invasive method for …
EEG-based schizophrenia detection using fusion of effective connectivity maps and convolutional neural networks with transfer learning
S Bagherzadeh, A Shalbaf - Cognitive Neurodynamics, 2024 - Springer
Schizophrenia (SZ) is a serious mental disorder that can mainly be distinguished by
symptoms including delusions and hallucinations. This mental disorder makes difficult …
symptoms including delusions and hallucinations. This mental disorder makes difficult …