Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use

University of Arkansas

Status: Withdrawn

Conditions: Musculoskeletal Diseases or Conditions

Study type: Observational

Funder types: Other; NIH

Identifiers

NCT05370534

GM125503 (Other Grant/Funding Number)

274321

Details and patient eligibility

About

The investigators propose to create a markerless smartphone-based MCA application using AR to measure joint motion and gait patterns to address this technology gap for a simple and inexpensive MCA.

Full description

Aim 1 will establish a testable AR-based smartphone app that measures clinically relevant lower-extremity motion components. Existing AR code will be adapted to identify and quantify hip, knee, and ankle range of motion in both the coronal and sagittal planes. Output will be produced directly to the phone display and can also be downloadable. Both single-motion and sequential-motion (gait) measures will be captured.

Aim 2 will then compare the app-based MCA to traditional gold standard MCA in healthy volunteers. A dedicated human biomechanics lab with capability for MCA with reflective markers will be utilized to test both MCA methods. Patients will perform a box jump and normal walking gait, and the measurements from both the standard marker-based MCA system and the smartphone markerless MCA system will be statistically compared.

Sex: All

Ages: 18 to 65 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria

• 18-65 years old
• No known spinal pathology
• No previous lower extremity surgery
• No significant cardiac history

Exclusion Criteria

• <18 or >65 years old
• Known spinal pathology
• Previous lower extremity surgery
• Significant cardiac history

Trial design

0 participants in 1 patient group

Study Population

Description:

The investigators anticipate validating two specific actions: a box jump and walking gait. Both will be captured in two planes, coronal and sagittal. Healthy patients without musculoskeletal complaints will be voluntarily enrolled to undergo motion capture with both methods, completed during the same visit to the UAMS Human Biomechanics Laboratory. Each patient will perform a box jump and walking gait using each of the two modalities. We anticipate 4 hrs will be required for each patient: 1 hr for setup before the patient arrives, 1 hr for testing, and 2 hrs for data cleaning and initial processing. This work will be performed at the UAMS Human Biomechanics Laboratory (off campus on Aldersgate Road), which is equipped for this type of analysis.