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 …
Autism spectrum disorder detection technique using EEG and convolution neural networks
Q Mohi-ud-Din, AK Jayanthy - AIP Conference Proceedings, 2023 - pubs.aip.org
Autism Spectrum Disorder (ASD) approximately affects 1 in 54 children in USA.
Unfortunately, there is no cure for ASD and ASD subjects may require life-long assistance …
Unfortunately, there is no cure for ASD and ASD subjects may require life-long assistance …
[PDF][PDF] Analysis of EEG signal for the detection of brain abnormalities
M Kalaivani, V Kalaivani, VA Devi - at International Journal of Computer …, 2014 - Citeseer
In the field of medical science, one of the major ongoing researches is the diagnosis of the
abnormalities in brain. The Electroencephalogram (EEG) is a tool for measuring the brain …
abnormalities in brain. The Electroencephalogram (EEG) is a tool for measuring the brain …
[PDF][PDF] Sadeghi Bajestani Gh. Artificial Neural Network in Autism Spectrum Disorder Diagnosis Based on Quantitative Electroencephalography. Caspian J Neurol Sci …
Background: Early diagnosis of autism spectrum disorder (ASD) is essential because the
challenges that ASD children and their parents face will be managed better by …
challenges that ASD children and their parents face will be managed better by …
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 …
[PDF][PDF] Wavelet transform based feature extraction for EEG signal classification
S Postalcioglu - WSEAS Transactions on Computers, 2021 - wseas.com
This study focused on the classification of EEG signal. The study aims to make a
classification with fast response and high-performance rate. Thus, it could be possible for …
classification with fast response and high-performance rate. Thus, it could be possible for …
[PDF][PDF] Classification of EEG Signals in a Seizure Detection System Using Dual Tree Complex Wavelet Transform and Least Squares Support Vector Machine.
Epilepsy is a chronic brain disorder which affects normal neuronal activity of the brain. It
results in sudden repeated episodes of higher electrical activity due to sensory disturbance …
results in sudden repeated episodes of higher electrical activity due to sensory disturbance …
Machine learning supervised classification methodology for autism spectrum disorder based on resting-state electroencephalography (eeg) signals
C Bhaskarachary, AJ Najafabadi… - 2020 IEEE Signal …, 2020 - ieeexplore.ieee.org
Autism Spectrum Disorder is a neurological and developmental disorder that starts early in
adolescence and lasts throughout a person's life affecting information flow in the brain …
adolescence and lasts throughout a person's life affecting information flow in the brain …