Citation

Goodwin MS, Özdenizci O, Cumpanasoiu C, Tian P, Guo Y, Stedman A, Peura C, Mazefsky C, Siegel M, Erdoğmuş D, Ioannidis S. Int. Conf. Pervasive Comput. Technol. Healthc. 2018; 2018: 201-207.

Affiliation

Northeastern University, Boston, MA, USA, ioannidis@ece.neu.edu.

Copyright

(Copyright © 2018, Institute of Electrical and Electronic Engineers)

DOI

10.1145/3240925.3240980

PMID

30420938

PMCID

PMC6230252

Abstract

We test the hypothesis that changes in preceding physiological arousal can be used to predict imminent aggression proximally before it occurs in youth with autism spectrum disorder (ASD) who are minimally verbal (MV-ASD). We evaluate this hypothesis through statistical analyses performed on physiological biosensor data wirelessly recorded from 20 MV-ASD youth over 69 independent naturalistic observations in a hospital inpatient unit. Using ridge-regularized logistic regression, results demonstrate that, on average, our models are able to predict the onset of aggression 1 minute before it occurs using 3 minutes of prior data with a 0.71 AUC for global, and a 0.84 AUC for person-dependent models.

Language: en

Keywords

Autism; aggression; minimally verbal; naturalistic observation; physiological arousal