Evidence map›Paper›PMID 38218372›Full record

ArticleJournal of sport and health science2024

Differences between lower extremity joint running kinetics captured by marker-based and markerless systems were speed dependent.

Hui Tang, Barry Munkasy, Li Li

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Article in Journal of sport and health science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Hui TangDepartment of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA; Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX 78712, USA.
Barry MunkasyDepartment of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA.
Li LiDepartment of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA. Electronic address: lili@georgiasouthern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of computer vision technology has enabled the use of markerless movement tracking for biomechanical analysis. Recent research has reported the feasibility of markerless systems in motion analysis but has yet to fully explore their utility for capturing faster movements, such as running. Applied studies using markerless systems in clinical and sports settings are still lacking. Thus, the present study compared running biomechanics estimated by marker-based and markerless systems. Given running speed not only affects sports performance but is also associated with clinical injury prevention, diagnosis, and rehabilitation, we aimed to investigate the effects of speed on the comparison of estimated lower extremity joint moments and powers between markerless and marker-based technologies during treadmill running as a concurrent validating study.

methodsKinematic data from marker-based/markerless technologies were collected, along with ground reaction force data, from 16 young adults running on an instrumented treadmill at 3 speeds: 2.24 m/s, 2.91 m/s, and 3.58 m/s (5.0 miles/h, 6.5 miles/h, and 8.0 miles/h). Sagittal plane moments and powers of the hip, knee, and ankle were calculated by inverse dynamic methods. Time series analysis and statistical parametric mapping were used to determine system differences.

resultsCompared to the marker-based system, the markerless system estimated increased lower extremity joint kinetics with faster speed during the swing phase in most cases.

conclusionDespite the promising application of markerless technology in clinical settings, systematic markerless overestimation requires focused attention. Based on segment pose estimations, the centers of mass estimated by markerless technologies were farther away from the relevant distal joint centers, which led to greater joint moments and powers estimates by markerless vs. marker-based systems. The differences were amplified by running speed.

Indexed as

Ankle JointHip JointKnee JointRunningAdultBiomechanical PhenomenaExercise TestFemaleHumansKineticsLower ExtremityMaleYoung AdultBiomechanicsGaitMotion captureStatistical parametric mapping

Identifiers

PMID38218372
PMCPMC11184322

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.