Fully Automatic Fall Risk Assessment Based on a Fast Mobility Test
| Autor: | Jan Andrzej Napieralski, Marek Kaminski, Bartosz Sakowicz, Magdalena Janc, Sebastian Woźniak, Wojciech Tylman, Pawel Marciniak, Magdalena Józefowicz-Korczyńska, Ewa Zamyslowska-Szmytke, Rafal Kotas |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Timed Up and Go test lcsh:Chemical technology Biochemistry Risk Assessment Article Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Software Humans lcsh:TP1-1185 030212 general & internal medicine Electrical and Electronic Engineering Instrumentation Postural Balance fall risk assessment Fall risk assessment Artificial neural network business.industry Novelty Pattern recognition Body movement bioinformatics Atomic and Molecular Physics and Optics microsensors Test (assessment) Time and Motion Studies Accidental Falls Artificial intelligence business decision support systems 030217 neurology & neurosurgery |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 21 Issue 4 Sensors, Vol 21, Iss 1338, p 1338 (2021) |
| ISSN: | 1424-8220 |
| Popis: | This paper presents a fall risk assessment approach based on a fast mobility test, automatically evaluated using a low-cost, scalable system for the recording and analysis of body movement. This mobility test has never before been investigated as a sole source of data for fall risk assessment. It can be performed in a very limited space and needs only minimal additional equipment, yet provides large amounts of information, as the presented system can obtain much more data than traditional observation by capturing minute details regarding body movement. The readings are provided wirelessly by one to seven low-cost micro-electro-mechanical inertial measurement units attached to the subject’s body segments. Combined with a body model, these allow segment rotations and translations to be computed and for body movements to be recreated in software. The subject can then be automatically classified by an artificial neural network based on selected values in the test, and those with an elevated risk of falls can be identified. Results obtained from a group of 40 subjects of various ages, both healthy volunteers and patients with vestibular system impairment, are presented to demonstrate the combined capabilities of the test and system. Labelling of subjects as fallers and non-fallers was performed using an objective and precise sensory organization test it is an important novelty as this approach to subject labelling has never before been used in the design and evaluation of fall risk assessment systems. The findings show a true-positive ratio of 85% and true-negative ratio of 63% for classifying subjects as fallers or non-fallers using the introduced fast mobility test, which are noticeably better than those obtained for the long-established Timed Up and Go test. |
| Databáze: | OpenAIRE |
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