A hybrid deep neural network for classification of schizophrenia using EEG Data
J Sun, R Cao, M Zhou, W Hussain, B Wang, J Xue… - Scientific Reports, 2021 - nature.com
Schizophrenia is a serious mental illness that causes great harm to patients, so timely and
accurate detection is essential. This study aimed to identify a better feature to represent …
accurate detection is essential. This study aimed to identify a better feature to represent …
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions,
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …
IoT-driven augmented reality and virtual reality systems in neurological sciences
Research in augmented and virtual reality in congregation with the Internet of Things has
opened many avenues in diagnosing and treating neurological disorders. Augmented reality …
opened many avenues in diagnosing and treating neurological disorders. Augmented reality …
Cognitive function: holarchy or holacracy?
C Birle, D Slavoaca, M Balea, L Livint Popa… - Neurological …, 2021 - Springer
Cognition is the most complex function of the brain. When exploring the inner workings of
cognitive processes, it is crucial to understand the complexity of the brain's dynamics. This …
cognitive processes, it is crucial to understand the complexity of the brain's dynamics. This …
A self-learned decomposition and classification model for schizophrenia diagnosis
Background: Schizophrenia (SZ) is a type of neurological disorder that is diagnosed by
professional psychiatrists based on interviews and manual screening of patients. The …
professional psychiatrists based on interviews and manual screening of patients. The …
[HTML][HTML] Possible neuropathological mechanisms underlying the increased complexity of brain electrical activity in schizophrenia: a computational study
Objective: Schizophrenia is a complex neurodevelopmental illness that is associated with
different deficits in the cerebral cortex and neural networks, resulting in irregularity of brain …
different deficits in the cerebral cortex and neural networks, resulting in irregularity of brain …
[HTML][HTML] Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles
L Wei, S Ventura, MA Ryan, S Mathieson… - Computers in Biology …, 2022 - Elsevier
Background: Sleep spindles are an indicator of the development and integrity of the central
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
Higuchi fractal dimension: An efficient approach to detection of brain entrainment to theta binaural beats
Binaural beats (BBs) are two pure tones with a small frequency difference (ie, beat)
separately presented to each ear. They cause the beat perception in the brain. BBs are used …
separately presented to each ear. They cause the beat perception in the brain. BBs are used …
Complexity-based decoding of brain-skin relation in response to olfactory stimuli
S Omam, MH Babini, S Sim, R Tee, V Nathan… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Human body is covered with skin in different parts. In
fact, skin reacts to different changes around human. For instance, when the surrounding …
fact, skin reacts to different changes around human. For instance, when the surrounding …
Schizophrenia EEG signal classification based on swarm intelligence computing
SK Prabhakar, H Rajaguru… - Computational Intelligence …, 2020 - Wiley Online Library
One of the serious mental disorders where people interpret reality in an abnormal state is
schizophrenia. A combination of extremely disordered thinking, delusion, and hallucination …
schizophrenia. A combination of extremely disordered thinking, delusion, and hallucination …