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| Name | Class |
|---|---|
| Nanyang Technological University | OTHER |
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Gait analysis is commonly performed in clinical practice. However, it is complex and requires an understanding of the activation of muscles in lower limbs, trunk, and upper limbs in a specific spatiotemporal pattern and the appropriate joint positions which support and advance the body weight in different phases of gait cycles.
In study, we plan to pilot the application of 3D gait analysis with statistical modelling in 2 common causes of gait deviation: unilateral hemiplegic stroke and unilateral lower limb amputation.
This is a pilot study on the use of 3D gait analysis using motion capture in combination with Statistical Parametric Mapping in patients with unilateral hemiplegic stroke and unilateral lower limb amputation. Data collected will then be compared against a normative dataset.
The findings from this study will then be used to build a decision support tool in combination with clinical analysis which could focus clinical recommendations for gait training, physical therapy, exercise and orthotics prescription to reduce unnecessary joint forces in affected and unaffected segments.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Stroke | Unilateral hemiplegic stroke patients |
| |
| Amputee | Unilateral transtibial amputee patients |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 3D Gait Analysis with Statistical Parametric Mapping | Diagnostic Test | A 3D motion capture system will be used for gait analysis. Vector field statistics will be used to simplify the clinical interpretation of time varying movement patterns. |
| Measure | Description | Time Frame |
|---|---|---|
| Body movement assessed by a motion capture system | Direction and magnitude of each body movement will be combined to provide graphical data on a motion capture system | Assessed within 1 year after patient recruitment |
| Measure | Description | Time Frame |
|---|---|---|
| Fugl Meyer Assessment | Functional score for stroke patients. Minimum: 0, Maximum: 226, with higher score indicating better function | Assessed within 1 year after patient recruitment |
| Stroke Impact Scale |
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Inclusion Criteria for stroke patients:
Inclusion Criteria for amputee patients:
Exclusion Criteria:
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Patients in outpatient clinics
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| Name | Affiliation | Role |
|---|---|---|
| Karen Chua | Tan Tock Seng Hospital | Principal Investigator |
| Cyril Donnelly | Rehabilitation Research Institute of Singapore | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tan Tock Seng Hospital | Singapore | Singapore |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Functional score for stroke patients. Minimum:1, Maximum: 5, with higher score indicating higher impairment
| Assessed within 1 year after patient recruitment |
| Amputee Mobility Predictor with prosthesis | Functional score for amputation patients. Minimum: 0, Maximum: 47, with higher score indicating better function. | Assessed within 1 year after patient recruitment |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |