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It has been suggested that changes in physiological arousal precedepotentially dangerous aggressive behavior in youth with autism spectrumdisorder (ASD) who are minimally verbal (MV-ASD). The current work tests thishypothesis through time-series analyses on biosignals acquired prior toproximal aggression onset. We implement ridge-regularized logistic regressionmodels on physiological biosensor data wirelessly recorded from 15 MV-ASD youthover 64 independent naturalistic observations in a hospital inpatient unit. Ourresults demonstrate proof-of-concept, feasibility, and incipient validitypredicting aggression onset 1 minute before it occurs using global,person-dependent, and hybrid classifier models.

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals