Validation and application of a computational model for wrist and hand movements using surface markers
Validation and application of a computational model for wrist and hand movements using surface markers
A kinematic model is presented based on surface marker placement generating wrist, metacarpal arch, fingers and thumb movements. Standard calculations are used throughout the model and then applied to the specified marker placement. A static trial involving eight unimpaired participants was carried out to assess inter-rater reliability. The standard deviations across the data were comparable to manual goniometers. In addition, a test retest trial of ten unimpaired participants is also reported to illustrate the variability of movement at the wrist joint, metacarpal arch, and index finger as an example of model output when repeating the same task many times. Light and heavyweight versions of the tasks are assessed and characteristics of individual movement strategies presented. The participant trial showed moderate correlation in radial/ulnar deviation of the wrist ( = 0 65), and strong correlation in both metacarpal arch joints ( = 075 and = 085), the MCP ( = 079), and PIP ( = 087) joints of the index finger. The results indicate that individuals use repeated strategies of movement when lifting light and heavyweight versions of the same object, but showed no obvious repeated pattern of movement across the population.
Biomedical measurement, hands, kinematics, motion analysis
1199-1210
Metcalf, C.D.
a1913c97-30db-48ab-b3d9-2a6c7be1a0e3
Notley, S.V.
3a5a223e-3123-41b9-b7ae-65dfcb20d782
Chappell, P.H.
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Burridge, J.H.
0110e9ea-0884-4982-a003-cb6307f38f64
Yule, V.T.
4cfba275-748d-4ed6-951a-4822b14b25fc
March 2008
Metcalf, C.D.
a1913c97-30db-48ab-b3d9-2a6c7be1a0e3
Notley, S.V.
3a5a223e-3123-41b9-b7ae-65dfcb20d782
Chappell, P.H.
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Burridge, J.H.
0110e9ea-0884-4982-a003-cb6307f38f64
Yule, V.T.
4cfba275-748d-4ed6-951a-4822b14b25fc
Metcalf, C.D., Notley, S.V., Chappell, P.H., Burridge, J.H. and Yule, V.T.
(2008)
Validation and application of a computational model for wrist and hand movements using surface markers.
IEEE Transactions on Biomedical Engineering, 55 (3), .
(doi:10.1109/TBME.2007.908087).
Abstract
A kinematic model is presented based on surface marker placement generating wrist, metacarpal arch, fingers and thumb movements. Standard calculations are used throughout the model and then applied to the specified marker placement. A static trial involving eight unimpaired participants was carried out to assess inter-rater reliability. The standard deviations across the data were comparable to manual goniometers. In addition, a test retest trial of ten unimpaired participants is also reported to illustrate the variability of movement at the wrist joint, metacarpal arch, and index finger as an example of model output when repeating the same task many times. Light and heavyweight versions of the tasks are assessed and characteristics of individual movement strategies presented. The participant trial showed moderate correlation in radial/ulnar deviation of the wrist ( = 0 65), and strong correlation in both metacarpal arch joints ( = 075 and = 085), the MCP ( = 079), and PIP ( = 087) joints of the index finger. The results indicate that individuals use repeated strategies of movement when lifting light and heavyweight versions of the same object, but showed no obvious repeated pattern of movement across the population.
Text
MetcalfIEEETBME200855311991210.pdf
- Other
More information
Published date: March 2008
Keywords:
Biomedical measurement, hands, kinematics, motion analysis
Organisations:
Health Sciences
Identifiers
Local EPrints ID: 265184
URI: http://eprints.soton.ac.uk/id/eprint/265184
ISSN: 0018-9294
PURE UUID: 318d2bcf-79b2-4b15-a203-8dee4d124380
Catalogue record
Date deposited: 18 Feb 2008 15:02
Last modified: 15 Mar 2024 02:57
Export record
Altmetrics
Contributors
Author:
C.D. Metcalf
Author:
S.V. Notley
Author:
P.H. Chappell
Author:
V.T. Yule
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics