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Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review.
Julian Jeyasingh-Jacob1,2, Mark Crook-Rumsey2,3, Harshvi Shah1,2
1Department of Brain Sciences, Imperial College London, London, United Kingdom.
JMIR Aging
|August 6, 2024
Summary
Markerless motion capture (MMC) shows promise for tracking functional performance in dementia and Parkinson disease. However, more research is needed to confirm its real-world clinical usefulness for mobility assessment.
Area of Science:
- Biomedical Engineering
- Clinical Neuroscience
- Rehabilitation Technology
Background:
- Markerless motion capture (MMC) offers unobtrusive, objective functional performance monitoring for neurodegenerative diseases like dementia.
- It aids clinical decision-making by assessing movement and posture in community settings.
Approach:
- A systematic review searched Embase, MEDLINE, CINAHL, and Scopus for studies using MMC with full-body tracking.
- 26 eligible studies were included from 1595 initial results, focusing on dementia, mild cognitive impairment, and Parkinson disease.
Key Points:
- Gait analysis was the primary focus (24 studies), with limited exploration of sit-to-stand and stepping in place.
- Depth cameras were most common (18 studies), often using deep learning, but only 6 studies compared MMC to gold standards.
- Activities of daily living were not evaluated in any included studies.
Conclusions:
- MMC has potential for analyzing movement and posture in dementia, MCI, and Parkinson disease.
- Further research is essential to establish the clinical utility of MMC for quantifying real-world mobility and functional performance.
