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A tool to monitor and support physical exercise interventions for MCI and AD patients

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Autore
Papamakarios, G.; Giakoumis, D.; Vasileiadis, M.; Votis, K.; Tzovaras, D.; Segkouli, S.; Karagiannidis, C.
Data
2014
DOI
10.4108/icst.pervasivehealth.2014.255345
Soggetto
Exercise performance assessment
Mci
Motion similarity metrics
Patient monitoring
Physical exercise interventions
C (programming language)
Diagnosis
Neurodegenerative diseases
Program diagnostics
Sports
Alzheimer's disease
Experimental analysis
Mild cognitive impairments (MCI)
Motion similarity
Objective feedback
Performance assessment
Physical exercise
Patient treatment
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Abstract
This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises. Copyright © 2014 ICST.
URI
http://hdl.handle.net/11615/31836
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