A review on diagnosis of autism spectrum disorder using eeg based on the machine learning techniques
PP Janarthanan, G Murugesan… - Solid State …, 2020 - mail.solidstatetechnology.us
Abstract Autism Spectrum Disorder (ASD) is a developmental disorder that affects the
behavioral and psychological functioning of an individual. The early intervention of ASD …
behavioral and psychological functioning of an individual. The early intervention of ASD …
A review of machine learning algorithms to diagnose autism using EEG signal
Z Sharifi Mehrjard, H Momeni… - Soft Computing …, 2023 - scj.kashanu.ac.ir
Autism is a neurological and developmental disorder in which individuals often show limited
symptoms or behaviors and are diagnosed based on a behavioral test. This neurological …
symptoms or behaviors and are diagnosed based on a behavioral test. This neurological …
Computer Aided Diagnosis of ASD based on EEG using RELIEFF and Supervised Learning Algorithm
TR Rechal, PR Kumar - Turkish Journal of Computer and …, 2021 - search.proquest.com
Autism Spectrum Disorder is diagnosed by physical examination of electroencephalography
(EEG) signals that is very responsive to time consuming and bias. Diagnosing autism in …
(EEG) signals that is very responsive to time consuming and bias. Diagnosing autism in …
Automated classification of autism spectrum disorder using EEG signals and convolutional neural networks
Q Mohi ud Din, AK Jayanthy - Biomedical Engineering: Applications …, 2022 - World Scientific
Children suffering from Autism Spectrum Disorder (ASD) have impaired social
communication, interaction and restricted and repetitive behaviors. ASD is caused by …
communication, interaction and restricted and repetitive behaviors. ASD is caused by …
Diagnosing autism spectrum disorders based on EEG analysis: A survey
M Hashemian, H Pourghassem - Neurophysiology, 2014 - Springer
Autism spectrum disorders (ASDs) are pervasive neurodevelopmental conditions
characterized by impairments in reciprocal social interactions, communication skills, and …
characterized by impairments in reciprocal social interactions, communication skills, and …
A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method
D Abdolzadegan, MH Moattar, M Ghoshuni - … and Biomedical Engineering, 2020 - Elsevier
Electroencephalogram (EEG) is one of the most important signals for diagnosis of Autism
Spectrum Disorder (ASD). There are different challenges such as feature selection and the …
Spectrum Disorder (ASD). There are different challenges such as feature selection and the …
EEG‐based computer aided diagnosis of autism spectrum disorder using wavelet, entropy, and ANN
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core
impairments in the social relationships, communication, imagination, or flexibility of thought …
impairments in the social relationships, communication, imagination, or flexibility of thought …
Autism Diagnosis from EEG Signals Using Machine Learning Algorithms and Convolutional Neural Networks
Z Sharifi, H Momeni, H Adabi Ardakani - Soft Computing Journal, 2024 - scj.kashanu.ac.ir
A neurodevelopmental disorder recognized by insufficiency in social communication and
repetitive behaviours is expressed as an autism spectrum disorder (ASD). One of the most …
repetitive behaviours is expressed as an autism spectrum disorder (ASD). One of the most …
EEG classification analysis for diagnosing autism spectrum disorder based on emotions
This research sets out to propose another method for the medical teams to diagnose Autism
Spectrum Disorder (ASD) in children based on the analysis on Electroencephalography …
Spectrum Disorder (ASD) in children based on the analysis on Electroencephalography …
Design and Implementation of Mobile Application for CNN-Based EEG Identification of Autism Spectrum Disorder.
Autism spectrum disorder (ASD) is a disorder of the nervous system from birth and during
infancy. This disorder affects children's development, making it difficult for nerve function to …
infancy. This disorder affects children's development, making it difficult for nerve function to …