Statistical Parametric Mapping (SPM 1D) for Stroke and Trans-tibial Amputation
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Amputation
- Stroke
- Type
- Observational
- Design
- Observational Model: Case-OnlyTime Perspective: Prospective
Participation Requirements
- Age
- Between 21 years and 125 years
- Gender
- Both males and females
Description
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 st...
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.
Tracking Information
- NCT #
- NCT04169594
- Collaborators
- Nanyang Technological University
- Investigators
- Principal Investigator: Karen Chua Tan Tock Seng Hospital Principal Investigator: Cyril Donnelly Rehabilitation Research Institute of Singapore