Motor skill differences in autism spectrum disorder: A clinically focused review

CJ Zampella, LAL Wang, M Haley… - Current psychiatry …, 2021 - Springer
Abstract Purpose of Review This review synthesizes recent, clinically relevant findings on
the scope, significance, and centrality of motor skill differences in autism spectrum disorder …

Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

A novel automated autism spectrum disorder detection system

SL Oh, V Jahmunah, N Arunkumar… - Complex & Intelligent …, 2021 - Springer
Autism spectrum disorder (ASD) is a neurological and developmental disorder that begins
early in childhood and lasts throughout a person's life. Autism is influenced by both genetic …

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman… - Signal Processing, 2018 - Elsevier
Abstract Autism Spectrum Disorders are associated with atypical movements, of which
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …

Application of supervised machine learning for behavioral biomarkers of autism spectrum disorder based on electrodermal activity and virtual reality

M Alcañiz Raya, IA Chicchi Giglioli… - Frontiers in human …, 2020 - frontiersin.org
Objective Sensory processing is the ability to capture, elaborate, and integrate information
through the five senses and is impaired in over 90% of children with autism spectrum …

Using technology to identify children with autism through motor abnormalities

R Simeoli, N Milano, A Rega, D Marocco - Frontiers in Psychology, 2021 - frontiersin.org
Autism is a neurodevelopmental disorder typically assessed and diagnosed through
observational analysis of behavior. Assessment exclusively based on behavioral …

Novelty detection using deep normative modeling for imu-based abnormal movement monitoring in parkinson's disease and autism spectrum disorders

N Mohammadian Rad, T Van Laarhoven, C Furlanello… - Sensors, 2018 - mdpi.com
Detecting and monitoring of abnormal movement behaviors in patients with Parkinson's
Disease (PD) and individuals with Autism Spectrum Disorders (ASD) are beneficial for …

[HTML][HTML] Detecting tonic-clonic seizures in multimodal biosignal data from wearables: methodology design and validation

S Böttcher, E Bruno, NV Manyakov… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Video electroencephalography recordings, routinely used in epilepsy
monitoring units, are the gold standard for monitoring epileptic seizures. However …

Detecting and classifying self-injurious behavior in autism spectrum disorder using machine learning techniques

KD Cantin-Garside, Z Kong, SW White… - Journal of autism and …, 2020 - Springer
Traditional self-injurious behavior (SIB) management can place compliance demands on the
caregiver and have low ecological validity and accuracy. To support an SIB monitoring …

Altered periodic dynamics in the default mode network in autism and attention-deficit/hyperactivity disorder

P Curtin, J Neufeld, A Curtin, M Arora, S Bölte - Biological psychiatry, 2022 - Elsevier
Background Altered resting-state functional connectivity in the default mode network (DMN)
is characteristic of both autism spectrum disorder (ASD) and attention-deficit/hyperactivity …