Monitoring functional status using a wearable real-time locating technology

Abstract

Sensor technologies enable real-time, continuous, and objective monitoring of activity and functioning in later life. In long-term care, timely assessment of functional status is needed to prevent falls and other acute events. However, the electronic forms and paper and pencil tools currently used are time-consuming and conducted too infrequently (e.g., every 6 months) to provide the sensitivity and specificity required. Staff are also unable to detect subtle changes in functioning through observation alone. The purpose of this paper is to discuss the use of a wearable real-time locating system that utilizes ultra wideband radio technology to continuously and objectively measure activity and aspects of functional status. This paper discusses the associated conceptualization and development of the scoring algorithms, raw data transformation, use of traditional paper and pencil tools and electronic health record data to validate sensor data, and other tips for those interested in this type of wearable sensor technology.

Keywords: Cognition; Data analysis; Data science; Mobility limitation; Supervised machine learning; Walking speed.