The Use of Artificial Intelligence (AI) for Gait Analysis
Possibility of Using a Mobile Application for Three-plane Gait Analysis.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Paulina W Ewertowska, PhD
- Phone Number: 0048 500157143
- Email: paulina.ewertowska@awf.gda.pl
Study Contact Backup
- Name: Łukasz Poniatowski
- Phone Number: 0048 535120640
- Email: lukaszponiatowski00@gmail.com
Study Locations
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Pomorskie
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Gdańsk, Pomorskie, Poland, 80-336
- Gdansk University of Physical Education and Sport
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- healthy people aged 20-25 years
Exclusion Criteria:
- orthopaedic disease
- neurological disease
- rheumatological disease
- pain in lower limbs in the last 6 months
- pain in lumbar spine in the last 6 months
- surgeries of lower limbs in the last 6 months
- surgeries of spine in the last 6 months
- musculoskeletal injuries in the lower limbs in the last 6 months
- musculoskeletal injuries in the lumbar spine in the last 6 months
- overweight and obesity, determined on the basis of the BMI value
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Gait analysis by the Vicon system
Time Frame: 45 minutes
|
To perform gait analysis, it is necessary to attach reflective markers to the subject at specific anthropometric points.
Participants will be asked to walk barefoot in a relaxed manner at a self-selected comfort speed through a 10-meter path (6 repetitions of walking).
Each passage through the path will be recorded using the Vicon three-plane gait assessment system, which generates angular values of the ankle, knee and hip joints (degree).
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45 minutes
|
|
Gait analysis by the mobile image recognition application
Time Frame: 45 minutes
|
During the gait analysis using the Vicon system, video recording of the full gait cycle in the sagittal plane from both sides, in the front plane from both sides and at an angle of 30, 45 and 60 degrees will be made using a smartphone camera.
The recorded gait cycle using the camera will be analyzed in an image recognition application, which will generate angular values of the lower limb joints (degree).
|
45 minutes
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Paulina W Ewertowska, PhD, Gdansk University of Physical Education and Sport
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- AWFiS/2023_5_PE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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