Statistical Parametric Mapping (SPM 1D) for Stroke and Trans-tibial Amputation
NCT04169594 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30
Last updated 2021-10-22
Summary
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.
Conditions
- Stroke
- Amputation
Interventions
- DIAGNOSTIC_TEST
-
3D Gait Analysis with Statistical Parametric Mapping
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.
Sponsors & Collaborators
-
Nanyang Technological University
collaborator OTHER -
Tan Tock Seng Hospital
lead OTHER
Principal Investigators
-
Karen Chua · Tan Tock Seng Hospital
-
Cyril Donnelly · Rehabilitation Research Institute of Singapore
Eligibility
- Min Age
- 21 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-06-19
- Primary Completion
- 2021-10-05
- Completion
- 2021-10-05
Countries
- Singapore
Study Locations
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