Characterisation of dynamic couplings at lower limb residuum/socket interface using 3D motion capture
Characterisation of dynamic couplings at lower limb residuum/socket interface using 3D motion capture
Design and fitting of artificial limbs to lower limb amputees are largely based on the subjective judgement of the prosthetist. Understanding the science of three-dimensional (3D) dynamic coupling at the residuum/socket interface could potentially aid the design and fitting of the socket.
A new method has been developed to characterise the 3D dynamic coupling at the residuum/socket interface using 3D motion capture based on a single case study of a trans-femoral amputee. The new model incorporated a Virtual Residuum Segment (VRS) and a Socket Segment (SS) which combined to form the residuum/socket interface. Angular and axial couplings between the two segments were subsequently determined. Results indicated a non-rigid angular coupling in excess of 10° in the quasi-sagittal plane and an axial coupling of between 21-35 mm. The corresponding angular couplings of less than 4° and 2° were estimated in the quasi-coronal and quasi-transverse plane, respectively.
We propose that the combined experimental and analytical approach adopted in this case study could aid the iterative socket fitting process and could potentially lead to a new socket design.
amputees, residuum/socket kinematics, 3D motion capture
1162-1168
Tang, Jinghua
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McGrath, Michael
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Laszczak, Piotr
ea4976f2-006b-4be6-b49a-9d4a88c1a4bf
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Bader, Dan L.
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Moser, David
09874cab-348f-47f9-b018-1c2875d16998
Zahedi, Saeed
fec0d8af-5088-4b23-b94e-2ba1d019850a
December 2015
Tang, Jinghua
b4b9a22c-fd6d-427a-9ab1-51184c1d2a2c
McGrath, Michael
32b5ce9d-eada-4edb-9c2e-ebc4d05142e9
Laszczak, Piotr
ea4976f2-006b-4be6-b49a-9d4a88c1a4bf
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Bader, Dan L.
9884d4f6-2607-4d48-bf0c-62bdcc0d1dbf
Moser, David
09874cab-348f-47f9-b018-1c2875d16998
Zahedi, Saeed
fec0d8af-5088-4b23-b94e-2ba1d019850a
Tang, Jinghua, McGrath, Michael, Laszczak, Piotr, Jiang, Liudi, Bader, Dan L., Moser, David and Zahedi, Saeed
(2015)
Characterisation of dynamic couplings at lower limb residuum/socket interface using 3D motion capture.
Medical Engineering & Physics, 37 (12), .
(doi:10.1016/j.medengphy.2015.10.004).
(PMID:26525779)
Abstract
Design and fitting of artificial limbs to lower limb amputees are largely based on the subjective judgement of the prosthetist. Understanding the science of three-dimensional (3D) dynamic coupling at the residuum/socket interface could potentially aid the design and fitting of the socket.
A new method has been developed to characterise the 3D dynamic coupling at the residuum/socket interface using 3D motion capture based on a single case study of a trans-femoral amputee. The new model incorporated a Virtual Residuum Segment (VRS) and a Socket Segment (SS) which combined to form the residuum/socket interface. Angular and axial couplings between the two segments were subsequently determined. Results indicated a non-rigid angular coupling in excess of 10° in the quasi-sagittal plane and an axial coupling of between 21-35 mm. The corresponding angular couplings of less than 4° and 2° were estimated in the quasi-coronal and quasi-transverse plane, respectively.
We propose that the combined experimental and analytical approach adopted in this case study could aid the iterative socket fitting process and could potentially lead to a new socket design.
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More information
Accepted/In Press date: 8 October 2015
e-pub ahead of print date: 30 October 2015
Published date: December 2015
Keywords:
amputees, residuum/socket kinematics, 3D motion capture
Organisations:
Engineering Mats & Surface Engineerg Gp
Identifiers
Local EPrints ID: 385658
URI: http://eprints.soton.ac.uk/id/eprint/385658
ISSN: 1350-4533
PURE UUID: cc1f264b-d5c5-40c6-8605-90ad36d36e0a
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Date deposited: 21 Jan 2016 09:20
Last modified: 15 Mar 2024 03:58
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Contributors
Author:
Michael McGrath
Author:
Piotr Laszczak
Author:
David Moser
Author:
Saeed Zahedi
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