Falls Risk Assessment for Hospitalised Older Adults: A Combination of Motion Data and Vital Signs

Date
2016-01-19
Authors
Baig
Gholamhosseini, H
Connolly, MJ
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract

Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way healthcare is currently delivered. Currently hospital falls are a major healthcare concern worldwide because of the ageing population. Current observational data and vital signs give the critical information related to the patient’s physiology, and motion data provide an additional tool in falls risk assessment. These data combined with the patient’s medical history potentially may give the interpretation model high information accessibility to predict falls risk. This study aims to develop a robust falls risk assessment system, in order to avoid falls and its related long-term disabilities in hospitals especially among older adults. The proposed system employs real-time vital signs, motion data, falls history and other clinical information. The falls risk assessment model has been tested and evaluated with 30 patients. The results of the proposed system have been compared with and evaluated against the hospital’s falls scoring scale.

Description
Keywords
Falls assessment system; Automated falls scoring; Falls in older adults; Older adults falls; Hospitalised falls prevention system; Smart falls assessment system
Source
Aging Clinical and Experimental Research. doi:10.1007/s40520-015-0510-5
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