Using Heart Rate and Behaviors to Predict Effective Intervention Strategies for Children on the Autism Spectrum: Validation of a Technology-Based Intervention

Using Heart Rate and Behaviors to Predict Effective Intervention Strategies for Children on the Autism Spectrum: Validation of a Technology-Based Intervention

Many children on the autism spectrum engage in challenging behaviors, like aggression, due to difficulties communicating and regulating their stress. Identifying effective intervention strategies is often subjective and time-consuming. Utilizing unobservable internal physiological data to predict st...

Full description

Saved in:
Bibliographic Details
Main Authors: Amarachi Emezie, Rima Kamel, Morgan Dunphy, Amanda Young, Heather J. Nuske
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
digital mental health
challenging behaviors
heart rate tracking
unobservable internal physiological data
observable behavioral data
intervention strategy effectiveness
Online Access:https://www.mdpi.com/1424-8220/24/24/8024
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items