Exploring the validity of smartphone based single camera markerless motion capture technology to quantify knee range of motion in patients with knee osteoarthritis

The findings of the study demonstrate that the msk.ai Deep Vision platform provides a valid and reliable means of quantifying peak knee flexion, extension and range of motion. CONTRIBUTION OF THE PAPER.

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Publication Details

Journal
Physiotherapy
Published
2025-10-15
DOI
https://doi.org/10.1016/j.physio.2025.101850
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

Exploring the validity of smartphone based single camera markerless motion capture technology to quantify knee range of motion in patients with knee osteoarthritis

Ben Langley, Matt Greig, TN Board
Physiotherapy
Lower Extremity Biomechanics and Pathologies
article

Exploring the validity of smartphone based single camera markerless motion capture technology to quantify knee range of motion in patients with knee osteoarthritis

Ben Langley, Matt Greig, TN Board
article en

Abstract

The findings of the study demonstrate that the msk.ai Deep Vision platform provides a valid and reliable means of quantifying peak knee flexion, extension and range of motion. CONTRIBUTION OF THE PAPER.

PhysiotherapyVol. 130
Edge Hill University (GB), Wrightington Hospital (GB)
Openalex Percentile: Top 72%
Lower Extremity Biomechanics and Pathologies
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