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Journal of NeuroEngineering and Rehabilitation

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Open Access 01-12-2017 | Research

Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect

Authors: Daniel Simonsen, Ida F. Nielsen, Erika G. Spaich, Ole K. Andersen

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2017

Abstract

Background

The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor.

Methods

The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The test times of the MJT were evaluated manually by a therapist using a stopwatch, and automatically using the Microsoft Kinect sensor. The ground truth times were assessed based on inspection of the video-recordings. The agreement between the methods was evaluated along with the test-retest performance.

Results

The results from Bland-Altman analysis showed better agreement between the ground truth times and the automatic MJT time evaluations compared to the agreement between the ground truth times and the times estimated by the therapist. The results from the test-retest performance showed that the subjects significantly improved their performance in several subtests of the MJT, indicating a practice effect.

Conclusions

The results from the test showed that the Kinect can be used for automating the MJT.

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Title: Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect
Authors: Daniel Simonsen
Ida F. Nielsen
Erika G. Spaich
Ole K. Andersen
Publication date: 01-12-2017
Publisher: BioMed Central
Published in: Journal of NeuroEngineering and Rehabilitation / Issue 1/2017
Electronic ISSN: 1743-0003
DOI: https://doi.org/10.1186/s12984-017-0250-1

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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