Abstract
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.
Original language | English |
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Title of host publication | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 430-433 |
Number of pages | 4 |
ISBN (Electronic) | 9781538624050 |
DOIs | |
State | Published - 6 Apr 2018 |
Event | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 - Las Vegas, United States Duration: 4 Mar 2018 → 7 Mar 2018 |
Publication series
Name | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
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Volume | 2018-January |
Conference
Conference | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
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Country/Territory | United States |
City | Las Vegas |
Period | 4/03/18 → 7/03/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.