Presenter Type
UNO Graduate Student (Doctoral)
Major/Field of Study
Biomechanics
Author ORCID Identifier
0000-0002-2921-565X
Advisor Information
Assistant Professor
Location
CEC RM #201/205/209
Presentation Type
Poster
Poster Size
48 inches (height) X 36 inches (width)
Start Date
22-3-2024 1:00 PM
End Date
22-3-2024 2:15 PM
Abstract
The Gait Deviation Index (GDI) serves as a summary measure to evaluate gait pathology in children with cerebral palsy (CP), with a score ≥ 100 denoting typical gait and each 10-point difference representing one standard deviation from the mean. While marker-based (MB) motion capture, the gold standard for 3D gait analysis, has limitations for widespread clinical use, leading to the exploration of video-based markerless motion capture, specifically Theia3D. Theia3D has been validated for accuracy and reliability in healthy adults; however, its clinical applicability is limited. This study aims to compare the impact of different motion capture systems on GDI scores and investigate how limb impairment influences GDI calculations, specifically using markerless motion capture. Ten children with CP (GMFCS level 1-3) and 15 typically developing (TD) children, aged between 6-18 years old, participated in the study, with both marker-based (Oqus) and markerless (Miqus Hybrid) systems recording data simultaneously. GDI scores were calculated and compared between systems. Our findings showed that Theia3D yielded significantly lower GDI values than the MB system for the more-affected side in children with CP. Both systems exhibited lower GDI scores with increased severity of impairment, indicating overall agreement between the technologies. Further investigation is required to assess the reliability of kinematic measurements between these motion capture systems in children with CP. Markerless motion capture technology demonstrates promise as a practical alternative to the marker-based system for acquiring kinematic data, proving sensitive enough to detect and quantify disparities in gait characteristics in children with CP.
Comparison of marker-based and marker-less motion capture on kinematic outcomes; Comparison of lower limb 3D kinematic outcomes between markerless and marker-based systems during overground walking in children with cerebral palsy (CP) (IRB:8022-21-EP)
CEC RM #201/205/209
The Gait Deviation Index (GDI) serves as a summary measure to evaluate gait pathology in children with cerebral palsy (CP), with a score ≥ 100 denoting typical gait and each 10-point difference representing one standard deviation from the mean. While marker-based (MB) motion capture, the gold standard for 3D gait analysis, has limitations for widespread clinical use, leading to the exploration of video-based markerless motion capture, specifically Theia3D. Theia3D has been validated for accuracy and reliability in healthy adults; however, its clinical applicability is limited. This study aims to compare the impact of different motion capture systems on GDI scores and investigate how limb impairment influences GDI calculations, specifically using markerless motion capture. Ten children with CP (GMFCS level 1-3) and 15 typically developing (TD) children, aged between 6-18 years old, participated in the study, with both marker-based (Oqus) and markerless (Miqus Hybrid) systems recording data simultaneously. GDI scores were calculated and compared between systems. Our findings showed that Theia3D yielded significantly lower GDI values than the MB system for the more-affected side in children with CP. Both systems exhibited lower GDI scores with increased severity of impairment, indicating overall agreement between the technologies. Further investigation is required to assess the reliability of kinematic measurements between these motion capture systems in children with CP. Markerless motion capture technology demonstrates promise as a practical alternative to the marker-based system for acquiring kinematic data, proving sensitive enough to detect and quantify disparities in gait characteristics in children with CP.