TY - GEN
T1 - ARIMA-based motor anomaly detection in schizophrenia inpatients
AU - Tron, Talia
AU - Resheff, Yehezkel S.
AU - Bazhmin, Mihael
AU - Weinshall, Daphna
AU - Peled, Amir
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/4/6
Y1 - 2018/4/6
N2 - Motor alteration is an important aspect of the elusive schizophrenia disorder, manifested both throughout the various phases of the disease and as a response to treatment. Tracking of patients' movement, and especially in a closed ward hospital setting, can therefore shed light on the dynamics of the disease, and help alert staff to possible deterioration and adverse effects of medication. In this paper we describe the use of ARIMA-based anomaly detection for monitoring of patient motor activity in a closed ward hospital setting. We demonstrate the utility of the approach in several intriguing case studies.
AB - Motor alteration is an important aspect of the elusive schizophrenia disorder, manifested both throughout the various phases of the disease and as a response to treatment. Tracking of patients' movement, and especially in a closed ward hospital setting, can therefore shed light on the dynamics of the disease, and help alert staff to possible deterioration and adverse effects of medication. In this paper we describe the use of ARIMA-based anomaly detection for monitoring of patient motor activity in a closed ward hospital setting. We demonstrate the utility of the approach in several intriguing case studies.
UR - http://www.scopus.com/inward/record.url?scp=85050890862&partnerID=8YFLogxK
U2 - 10.1109/BHI.2018.8333460
DO - 10.1109/BHI.2018.8333460
M3 - منشور من مؤتمر
T3 - 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018
SP - 430
EP - 433
BT - 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018
T2 - 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018
Y2 - 4 March 2018 through 7 March 2018
ER -