@article{ref1,
title="Time-series prediction of proximal aggression onset in minimally-verbal youth with autism spectrum disorder using physiological biosignals",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2018",
author="Özdenizci, Ozan and Cumpanasoiu, Catalina and Mazefsky, Carla and Siegel, Matthew and Erdoggmus, Deniz and Ioannidis, Stratis and Goodwin, Matthew S.",
volume="2018",
number="",
pages="5745-5748",
abstract="It has been suggested that changes in physiological arousal precede potentially dangerous aggressive behavior in youth with autism spectrum disorder (ASD) who are minimally verbal (MV-ASD). The current work tests this hypothesis through time-series analyses on biosignals acquired prior to proximal aggression onset. We implement ridge-regularized logistic regression models on physiological biosensor data wirelessly recorded from 15 MV-ASD youth over 64 independent naturalistic observations in a hospital inpatient unit. Our results demonstrate proof-of-concept, feasibility, and incipient validity predicting aggression onset 1 minute before it occurs using global, person-dependent, and hybrid classifier models.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2018.8513524",
url="http://dx.doi.org/10.1109/EMBC.2018.8513524"
}