Statistical Parametric Mapping (SPM 1D) for Stroke and Trans-tibial Amputation

NCT04169594 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2021-10-22

No results posted yet for this study

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

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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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04169594 on ClinicalTrials.gov