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

Daniel Simonsen; Ida Falk Nielsen; Erika G. Spaich; Ole Kæseler Andersen

doi:10.1186/s12984-017-0250-1

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

Daniel Simonsen, Ida Falk Nielsen, Erika G. Spaich, Ole Kæseler Andersen

Research output: Contribution to journal › Journal article › Research › peer-review

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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.

Original language	English
Article number	38
Journal	Journal of NeuroEngineering and Rehabilitation
Volume	14
Number of pages	12
ISSN	1743-0003
DOIs	https://doi.org/10.1186/s12984-017-0250-1
Publication status	Published - 2017

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Journal Article

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10.1186/s12984-017-0250-1Licence: CC BY 4.0

Open Access articleFinal published version, 968 KBLicence: CC BY 4.0

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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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N2 - 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.

AB - 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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JO - Journal of NeuroEngineering and Rehabilitation

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

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