DASD- diagnosing autism spectrum disorder based on stereotypical hand-flapping movements using multi-stream neural networks and attention mechanisms

DASD- diagnosing autism spectrum disorder based on stereotypical hand-flapping movements using multi-stream neural networks and attention mechanisms

IntroductionThe early detection and diagnosis of autism spectrum disorder (ASD) remain critical challenges in developmental healthcare, with traditional diagnostic methods relying heavily on subjective clinical observations.MethodsIn this paper, we introduce an innovative multi-stream framework that...

Full description

Saved in:
Bibliographic Details
Main Authors: Theyazn H. H. Aldhyani, Abdullah H. Al-Nefaie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Physiology
Subjects:
autism spectrum disorder
deep learning
stereotypical movements
handflapping detection
multi-stream architecture
attention mechanisms
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1593965/full
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2025.1593965/full

Similar Items