Clinical trial NCT06289231: The Use of Artificial Intelligence (AI) for Gait Analysis
Official title: Possibility of Using a Mobile Application for Three-plane Gait Analysis.
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Gait
Keywords: Vicon
Gait analysis
Artificial intelligence
Tracking movement
Pose estimation
Lead sponsor: Gdansk University of Physical Education and Sport
Sponsor class: OTHER
First posted: 2024-03-01
Enrollment: 50
Sex: ALL
Minimum age (years): 20
Maximum age (years): 25
Standard ages: ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Students of the Academy of Physical Education and Sport in Gdańsk,

Brief 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.

Detailed 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.

Eligibility criteria: 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

Primary outcomes:
measure: Gait analysis by the Vicon system
timeFrame: 45 minutes
measure: Gait analysis by the mobile image recognition application
timeFrame: 45 minutes
Secondary outcomes:
Other outcomes:
Locations:
city: Gdańsk
country: Poland
facility: Gdansk University of Physical Education and Sport
state: Pomorskie
Study officials:
affiliation: Gdansk University of Physical Education and Sport
name: Paulina W Ewertowska, PhD
role: STUDY_CHAIR
References: