Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke
Muscle weakness is commonly seen in individuals after stroke, characterized by lower forces during a maximal volitional contraction. Accurate quantification of muscle weakness is paramount when evaluating individual performance and response to after stroke rehabilitation. The objective of this stud...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Stroke Research and Treatment |
| Online Access: | http://dx.doi.org/10.1155/2014/321747 |
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| author | Brian A. Knarr Darcy S. Reisman Stuart A. Binder-Macleod Jill S. Higginson |
| author_facet | Brian A. Knarr Darcy S. Reisman Stuart A. Binder-Macleod Jill S. Higginson |
| author_sort | Brian A. Knarr |
| collection | DOAJ |
| description | Muscle weakness is commonly seen in individuals after stroke, characterized by lower forces during a maximal volitional contraction. Accurate quantification of muscle weakness is paramount when evaluating individual performance and response to after stroke rehabilitation. The objective of this study was to examine the effect of subject-specific muscle force and activation deficits on predicted muscle coordination when using musculoskeletal models for individuals after stroke. Maximum force generating ability and central activation ratio of the paretic plantar flexors, dorsiflexors, and quadriceps muscle groups were obtained using burst superimposition for four individuals after stroke with a range of walking speeds. Two models were created per subject: one with generic and one with subject-specific activation and maximum isometric force parameters. The inclusion of subject-specific muscle data resulted in changes in the model-predicted muscle forces and activations which agree with previously reported compensation patterns and match more closely the timing of electromyography for the plantar flexor and hamstring muscles. This was the first study to create musculoskeletal simulations of individuals after stroke with subject-specific muscle force and activation data. The results of this study suggest that subject-specific muscle force and activation data enhance the ability of musculoskeletal simulations to accurately predict muscle coordination in individuals after stroke. |
| format | Article |
| id | doaj-art-3c95ed22ed0c419f9b7bddc94eae7e0b |
| institution | Kabale University |
| issn | 2090-8105 2042-0056 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Stroke Research and Treatment |
| spelling | doaj-art-3c95ed22ed0c419f9b7bddc94eae7e0b2025-02-03T01:06:19ZengWileyStroke Research and Treatment2090-81052042-00562014-01-01201410.1155/2014/321747321747Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after StrokeBrian A. Knarr0Darcy S. Reisman1Stuart A. Binder-Macleod2Jill S. Higginson3Delaware Rehabilitation Institute, STAR Health Sciences Complex, University of Delaware, 540 S. College Avenue, Newark, DE 19716, USADepartment of Physical Therapy, STAR Health Sciences Complex, University of Delaware, 540 S. College Avenue, Newark, DE 19716, USADepartment of Physical Therapy, STAR Health Sciences Complex, University of Delaware, 540 S. College Avenue, Newark, DE 19716, USADepartment of Mechanical Engineering, STAR Health Sciences Complex, University of Delaware, 540 S. College Avenue, Newark, DE 19716, USAMuscle weakness is commonly seen in individuals after stroke, characterized by lower forces during a maximal volitional contraction. Accurate quantification of muscle weakness is paramount when evaluating individual performance and response to after stroke rehabilitation. The objective of this study was to examine the effect of subject-specific muscle force and activation deficits on predicted muscle coordination when using musculoskeletal models for individuals after stroke. Maximum force generating ability and central activation ratio of the paretic plantar flexors, dorsiflexors, and quadriceps muscle groups were obtained using burst superimposition for four individuals after stroke with a range of walking speeds. Two models were created per subject: one with generic and one with subject-specific activation and maximum isometric force parameters. The inclusion of subject-specific muscle data resulted in changes in the model-predicted muscle forces and activations which agree with previously reported compensation patterns and match more closely the timing of electromyography for the plantar flexor and hamstring muscles. This was the first study to create musculoskeletal simulations of individuals after stroke with subject-specific muscle force and activation data. The results of this study suggest that subject-specific muscle force and activation data enhance the ability of musculoskeletal simulations to accurately predict muscle coordination in individuals after stroke.http://dx.doi.org/10.1155/2014/321747 |
| spellingShingle | Brian A. Knarr Darcy S. Reisman Stuart A. Binder-Macleod Jill S. Higginson Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke Stroke Research and Treatment |
| title | Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke |
| title_full | Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke |
| title_fullStr | Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke |
| title_full_unstemmed | Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke |
| title_short | Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke |
| title_sort | changes in predicted muscle coordination with subject specific muscle parameters for individuals after stroke |
| url | http://dx.doi.org/10.1155/2014/321747 |
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