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.
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