A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG
Autism spectrum disorder (ASD) is a developmental disability characterized by persistent
impairments in social interaction, speech and nonverbal communication, and restricted or …
impairments in social interaction, speech and nonverbal communication, and restricted or …
Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image‐based approach
Autism is a type of neurodevelopment disorder in which individuals often have difficulties in
social relationship, communication, expressing and controlling emotions and poor eye …
social relationship, communication, expressing and controlling emotions and poor eye …
Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features
Autism spectrum disorder (ASD), a neurodevelopment disorder, is characterized by
significant difficulties in social interaction and emerges as a major threat to children. Its …
significant difficulties in social interaction and emerges as a major threat to children. Its …
[PDF][PDF] Non intrusive eye blink detection from low resolution images using HOG-SVM classifier
Eye blink detection has gained a lot of interest in recent years in the field of Human
Computer Interaction (HCI). Research is being conducted all over the world for develo** …
Computer Interaction (HCI). Research is being conducted all over the world for develo** …
Computer Vision Techniques for Autism Symptoms Detection and Recognition: A Survey.
Autism spectrum disorder (ASD) is a world-threatening mental develo** disorders that
recently appeared widely, due to its diagnosis complexity as well as lack of evidence of its …
recently appeared widely, due to its diagnosis complexity as well as lack of evidence of its …
Grid-tuned ensemble models for 2D spectrogram-based autism classification
MZ Ullah, D Yu - Biomedical Signal Processing and Control, 2024 - Elsevier
Background Autism spectrum disorder (ASD) is a prevalent collection of developmental
disorders that affects around one in every 36 children worldwide. Since autistic children …
disorders that affects around one in every 36 children worldwide. Since autistic children …
Diagnosis of autism spectrum disorder using EEMD and multiscale fluctuation based dispersion entropy with Bayesian optimized light GBM
Being one of the most prominent neurological development disorder, autism spectrum
disorder (ASD) has arisen as global issue. It emerges over the first few years of life and …
disorder (ASD) has arisen as global issue. It emerges over the first few years of life and …
An Automatic Framework For Detecting Autism Spectrum Disorder From EEG Signals Using TFD
Autism spectrum disorder (ASD) is an intricate neurodevelopmental disorder with many
neurological problems. Social interaction and communication issues, repetitive behaviors …
neurological problems. Social interaction and communication issues, repetitive behaviors …
Autism screening using an intelligent toy car
The number of cases reported with Autism Spectrum disorder (ASD), as a developmental
disorder, has increased sharply in recent decades. Early diagnosis of ASD in children is …
disorder, has increased sharply in recent decades. Early diagnosis of ASD in children is …
Development of Machine Learning Approaches for Autism Detection Using EEG Data: A Comparative Study
Autism is a kind of disorder that impacts the human brain due to which people face some
difficulties in interaction and communication with others. The detection and identification of …
difficulties in interaction and communication with others. The detection and identification of …