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Context- and Terrain-aware Gait Analysis

NCT07491588 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2026-03-24

No results posted yet for this study

Summary

The average lifespan of individuals in many developed countries is increasing. This factor paired with the increase in global population has the potential to put a strain on healthcare systems with regards to age-related conditions. Particularly, this research considers the impact that conditions such as Parkinson's disease, dementia and stroke have on the walking capabilities on affected individuals.

This research project aims to obtain a gait analysis dataset consisting of sensor data captured during regular daily activities on common terrains such as grass, paving slabs, gravel, etc. The dataset will be collected with a custom sensor system which captures mobility data from a cohort of healthy controls of all ages and people with dementia, Parkinson's disease, stroke survivors, multiple sclerosis, etc. Various machine learning algorithms (custom-implemented using Python) will then be used to determine the walking activity (walking, ramp ascend/descend, stair ascend/descend etc.), the terrain (grass, pavement, carpet etc.), and various walking-related parameters (step length, step height, cadence etc.). It is our hope that these features will enable remote gait analysis to be performed with sufficient contextual information to enable remote diagnosis and rehabilitation tracking for those at risk of falling.

Conditions

  • Parkinson's Disease and Parkinsonism
  • Dementia
  • Acquired Brain Injury
  • Multiple Sclerosis
  • Lower Limb Amputation Below Knee (Injury)

Interventions

DEVICE

All-terrain Gait Analysis System

Mobile gait analysis system for environmental gait analysis

Sponsors & Collaborators

  • University of Leeds

    lead OTHER

Principal Investigators

  • Rory J O'Connor, MD · University of Leeds

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2025-07-31
Completion
2025-07-31

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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 NCT07491588 on ClinicalTrials.gov