A Kinect-based Monitoring System for Stroke Rehabilitation

Min Hun Lee, Daniel Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia

2017

Abstract

Therapists monitor and evaluate stroke patient’s motor abilities with clinical tests to individualize clinical interventions. After a clinical session, a therapist designs task-oriented exercises for a patient and requests self-reporting of patient’s adherence on exercise regimen. However, outpatients, who cannot receive feedback, often show low adherence [1], leading to sparse self-reports. It is difficult for therapists to follow patient’s progress. To address this challenge, this paper describes a Kinect-based monitoring system that evaluates performance and provides real-time feedback for four stroke rehabilitation exercises. Our preliminary study showed that this monitoring system can accurately monitor in-home stroke rehabilitation exercises.

Paper Citation

in Harvard Style

Lee M., Siewiorek D., Smailagic A., Bernardino A. and Bermúdez I Badia S. (2017). A Kinect-based Monitoring System for Stroke Rehabilitation.In IcSPORTS 2017 - Extended Abstracts - Volume 1: AHA, ISBN , pages 8-10

in Bibtex Style

@conference{aha17,
author={Min Hun Lee and Daniel Siewiorek and Asim Smailagic and Alexandre Bernardino and Sergi Bermúdez I Badia},
title={A Kinect-based Monitoring System for Stroke Rehabilitation},
booktitle={IcSPORTS 2017 - Extended Abstracts - Volume 1: AHA,},
year={2017},
pages={8-10},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

in EndNote Style

TY - CONF

JO - IcSPORTS 2017 - Extended Abstracts - Volume 1: AHA,
TI - A Kinect-based Monitoring System for Stroke Rehabilitation
SN -
AU - Lee M.
AU - Siewiorek D.
AU - Smailagic A.
AU - Bernardino A.
AU - Bermúdez I Badia S.
PY - 2017
SP - 8
EP - 10
DO -