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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06289231
Other study ID # AWFiS/2023_5_PE
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date May 2024
Est. completion date August 2024

Study information

Verified date February 2024
Source Gdansk University of Physical Education and Sport
Contact Paulina W Ewertowska, PhD
Phone 500157143
Email paulina.ewertowska@awf.gda.pl
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The main purpose of this study will be to assess the consistency and reliability of measurements made using the Vicon three-plane gait analysis device (Vicon Motion Capture System Ltd, Oxford, UK) and a mobile application based on image recognition technology with the help of artificial intelligence.


Description:

The study will involve 50 healthy, physically active people aged 20-25. The participants will be subjected to movement analysis using the Vicon three-plane gait analysis system using reflective markers. Each of them will make 6 walks at their natural pace along a 10 m long path, during which a three-plane image of their walking will be recorded by the Vicon system. Additionally, during the examination, 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. First, the values generated by the Vicon system and the application from the sagittal plane recording will be compared. Then, the consistency of the values generated by the application from the recordings in the sagittal plane on both sides for the same lower limb will be checked. The last step will be to compare the compliance of the angular values from the Vicon system with the data generated in the application from recordings at angles of 60, 45, 30 and 0 degrees.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 50
Est. completion date August 2024
Est. primary completion date July 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 20 Years to 25 Years
Eligibility 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 Design


Related Conditions & MeSH terms


Locations

Country Name City State
Poland Gdansk University of Physical Education and Sport Gdansk Pomorskie

Sponsors (1)

Lead Sponsor Collaborator
Gdansk University of Physical Education and Sport

Country where clinical trial is conducted

Poland, 

Outcome

Type Measure Description Time frame Safety issue
Primary Gait analysis by the Vicon system 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). 45 minutes
Primary Gait analysis by the mobile image recognition application 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
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