REHAB 2014

Research Article

A Tool to Monitor and Support Physical Exercise Interventions for MCI and AD Patients

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255345,
        author={Georgios Papamakarios and Dimitris Giakoumis and Manolis Vasileiadis and Konstantinos Votis and Sofia Segkouli and Dimitrios Tzovaras and Charalampos Karagiannidis},
        title={A Tool to Monitor and Support Physical Exercise Interventions for MCI and AD Patients},
        proceedings={REHAB 2014},
        publisher={ICST},
        proceedings_a={REHAB},
        year={2014},
        month={7},
        keywords={physical exercise interventions mci motion similarity metrics exercise performance assessment patient monitoring},
        doi={10.4108/icst.pervasivehealth.2014.255345}
    }
    
  • Georgios Papamakarios
    Dimitris Giakoumis
    Manolis Vasileiadis
    Konstantinos Votis
    Sofia Segkouli
    Dimitrios Tzovaras
    Charalampos Karagiannidis
    Year: 2014
    A Tool to Monitor and Support Physical Exercise Interventions for MCI and AD Patients
    REHAB
    ICST
    DOI: 10.4108/icst.pervasivehealth.2014.255345
Georgios Papamakarios1, Dimitris Giakoumis1,*, Manolis Vasileiadis1, Konstantinos Votis1, Sofia Segkouli2, Dimitrios Tzovaras1, Charalampos Karagiannidis2
  • 1: Information Technologies Institute - Centre for Research and Technology, Hellas
  • 2: Department of Special Education, University of Thessaly, Greece
*Contact email: dgiakoum@iti.gr

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.