TY  - JOUR
PY  - 2018//
TI  - Predicting imminent aggression onset in minimally-verbal youth with autism spectrum disorder using preceding physiological signals
JO  - International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]
A1  - Goodwin, Matthew S.
A1  - Özdenizci, Ozan
A1  - Cumpanasoiu, Catalina
A1  - Tian, Peng
A1  - Guo, Yuan
A1  - Stedman, Amy
A1  - Peura, Christine
A1  - Mazefsky, Carla
A1  - Siegel, Matthew
A1  - Erdoğmuş, Deniz
A1  - Ioannidis, Stratis
SP  - 201
EP  - 207
VL  - 2018
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2153-1633
UR  - http://dx.doi.org/10.1145/3240925.3240980
ID  - ref1
ER  -