Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.

OpenPose-based motion analysis (OpenPose-MA), utilizing deep learning methods, has emerged as a compelling technique for estimating human motion. It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and human visual detection-based motion analysis (Human-...

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Publicado en:Journal of Sports Science & Medicine Vol. 23; no. 3; pp. 515 - 526
Autores principales: Takumi Ino, Mina Samukawa, Tomoya Ishida, Naofumi Wada, Yuta Koshino, Satoshi Kasahara, Harukazu Tohyama
Formato: pictorial research tables/charts Journal Article
Publicado: Hakan Gur, Journal of Sports Science & Medicine Sep2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2024
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      pub: Hakan Gur, Journal of Sports Science & Medicine
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        atl: Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.
      aug:
        au:
          Takumi Ino
          Mina Samukawa
          Tomoya Ishida
          Naofumi Wada
          Yuta Koshino
          Satoshi Kasahara
          Harukazu Tohyama
        affil: Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
      sug:
        subj:
          Exercise Test Methods
          Knee Joint Physiopathology
          Time and Motion Studies
          Range of Motion Evaluation
          Imaging, Three-Dimensional
          Human
          Funding Source
          Male
          Female
          Adult
          Reliability and Validity
          Conceptual Framework
          Algorithms
          Deep Learning
          Physical Therapists
          Image Interpretation, Computer Assisted
          Intraclass Correlation Coefficient
          Descriptive Statistics
          Waveforms
          Pearson's Correlation Coefficient
          Unpaired T-Tests
          Confidence Intervals
          Reproducibility of Results
          Adult: 19-44 years
          Male
          Female
      ab: OpenPose-based motion analysis (OpenPose-MA), utilizing deep learning methods, has emerged as a compelling technique for estimating human motion. It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and human visual detection-based motion analysis (Human-MA), including costly equipment, time-consuming analysis, and restricted experimental settings. This study aims to assess the precision of OpenPose-MA in comparison to Human-MA, using 3D-MA as the reference standard. The study involved a cohort of 21 young and healthy adults. OpenPose-MA employed the Open-Pose algorithm, a deep learning-based open-source two-dimensional (2D) pose estimation method. Human-MA was conducted by a skilled physiotherapist. The knee valgus angle during a drop vertical jump task was computed by OpenPose-MA and Human-MA using the same frontal-plane video image, with 3D-MA serving as the reference standard. Various metrics were utilized to assess the reproducibility, accuracy and similarity of the knee valgus angle between the different methods, including the intraclass correlation coefficient (ICC) (1, 3), mean absolute error (MAE), coefficient of multiple correlation (CMC) for waveform pattern similarity, and Pearson's correlation coefficients (OpenPose-MA vs. 3D-MA, Human-MA vs. 3D-MA). Unpaired t-tests were conducted to compare MAEs and CMCs between OpenPose-MA and Human-MA. The ICCs (1,3) for OpenPose-MA, Human-MA, and 3D-MA demonstrated excellent reproducibility in the DVJ trial. No significant difference between OpenPose-MA and Human-MA was observed in terms of the MAEs (OpenPose: 2.4° [95%CI: 1.9 - 3.0°], Human: 3.2° [95%CI: 2.1 - 4.4°]) or CMCs (OpenPose: 0.83 [range: 0.99 - 0.53], Human: 0.87 [range: 0.24 - 0.98]) of knee valgus angles. The Pearson's correlation coefficients of OpenPose-MA and Human-MA relative to that of 3DMA were 0.97 and 0.98, respectively. This study demonstrated that OpenPose-MA achieved satisfactory reproducibility, accuracy and exhibited waveform similarity comparable to 3D-MA, similar to Human-MA. Both OpenPose-MA and Human-MA showed a strong correlation with 3D-MA in terms of knee valgus angle excursion.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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