Predicting aggression to others in youth with autism using a wearable biosensor

Abstract

Unpredictable and potentially dangerous aggressive behavior by youth with Autism Spectrum Disorder (ASD) can isolate them from foundational educational, social, and familial activities, thereby markedly exacerbating morbidity and costs associated with ASD. This study investigates whether preceding physiological and motion data measured by a wrist‐worn biosensor can predict aggression to others by youth with ASD. We recorded peripheral physiological (cardiovascular and electrodermal activity) and motion (accelerometry) signals from a biosensor worn by 20 youth with ASD (ages 6–17 years, 75% male, 85% minimally verbal) during 69 independent naturalistic observation sessions with concurrent behavioral coding in a specialized inpatient psychiatry unit. We developed prediction models based on ridge‐regularized logistic regression. Our results suggest that aggression to others can be predicted 1 min before it occurs using 3 min of prior biosensor data with an average area under the curve of 0.71 for a global model and 0.84 for person‐dependent models. The biosensor was well tolerated, we obtained useable data in all cases, and no users withdrew from the study. Relatively high predictive accuracy was achieved using antecedent physiological and motion data. Larger trials are needed to further establish an ideal ratio of measurement density to predictive accuracy and reliability. These findings lay the groundwork for the future development of precursor behavior analysis and just‐in‐time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression in ASD. Autism Res 2019, 12: 1286–1296. © 2019 International Society for Autism Research, Wiley Periodicals, Inc.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 21, 2019
Source ID
10.1002/aur.2151

Entities

People

  • Carla A Mazefsky
  • Deniz Erdoğmuş
  • Matthew S Goodwin
  • Matthew Siegel
  • Stratis Ioannidis

Organizations

  • Eunice Kennedy Shriver National Institute of Child Health and Human Development
  • Maine Medical Center
  • Nancy Lurie Marks Family Foundation
  • National Institute on Deafness and Other Communication Disorders
  • National Science Foundation
  • Northeastern University
  • Simons Foundation
  • United States Department of Defense
  • University of Pittsburgh

Tags

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Computational Modeling and Simulation
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • Biotechnology