An improved localization algorithm with wireless heartbeat monitoring system for patient safety in psychiatric wards

Authors:
Chen-Yang Cheng;Tsuo-Hung Lan;Chin-Hong Chan
Affiliations:
Department of Industrial Engineering and Enterprise Information, Tunghai University, Box 985, Taichung, Taiwan, ROC;Department of Psychiatry, National Yang Ming University, Taiwan Taichung Veterans General Hospital, Taiwan, No. 155, Li-Nong Street, Sector 2, Peitou, Taipei, Taiwan;Department of Psychiatry, Taichung Veterans General Hospital, Taiwan 40705, No. 160, Sector 3, Chung-Kang Road, Taichung, Taiwan, ROC
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

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Abstract

Psychiatric patients often require continuous monitoring to keep them out of dangerous situations. Accordingly, hospitals hire additional staff to monitor patients' vital signs, maintain patient safety, and ensure that patients do not leave the hospital without notice. However, ward staff have difficulty knowing whenever a psychiatric patient is stepping into potential danger zones or encountering any safety threat. This paper reports the development of a wireless monitoring system to improve patient safety in psychiatric wards and reduce avoidable risks. The proposed system can ease the workload of nurses, help locate patients, and monitor patients' heartbeats. A two-step clustering localization algorithm is proposed for use in tracking patients' locations. This study marks for the first time that heartbeat detection using a ZigBee-based platform with localization function has been proposed. A proof-of-concept system is developed to understand the current hardware challenges and to enable functional analysis of the proposed ZigBee-based patient localization system. The error distance of the proposed localization algorithm is approximately 1m. Its location accuracy is 90% with the error distance of up to 3m. The proposed system is expected to improve patient safety significantly in psychiatric wards at low cost.