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Upper Extremity Functional Evaluation by Fugl-Meyer Assessment Scoring Using Depth-Sensing Camera in Hemiplegic
Won-Seok Kim1, Sungmin Cho2, Dongyoub Baek2
1Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea.
Plos One
|July 2, 2016
Summary
This study validates the Fugl-Meyer Assessment (FMA) using Kinect technology for stroke patients. The Kinect-based FMA accurately assesses upper extremity function and movement quality for home-based rehabilitation.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Virtual home-based rehabilitation is a growing field for stroke recovery.
- Functional assessment tools are crucial for monitoring progress and tailoring rehabilitation.
- Existing methods may lack objective measures of movement quality.
Purpose of the Study:
- To develop and validate a Kinect-based Fugl-Meyer Assessment (FMA) for hemiplegic stroke patients.
- To assess the accuracy and correlation of Kinect-derived FMA scores with traditional assessments.
- To evaluate the potential of Kinect for measuring movement quality (jerkiness).
Main Methods:
- Developed a Kinect-based FMA tool using 13 upper extremity items.
- Recruited 41 hemiplegic stroke patients for the study.
- Utilized principal component analysis and artificial neural networks for score calculation from motion data.
- Analyzed prediction accuracy, correlation with real FMA scores, and jerky motion scores.
Main Results:
- Prediction accuracies for individual items ranged from 65% to 87%, exceeding 70% for 9 items.
- High correlations were found between real FMA scores and Kinect-derived scores (Pearson's r = 0.873 for summed score, r = 0.799 for total upper extremity score).
- Log-transformed jerky scores were significantly higher on the hemiplegic side and negatively correlated with Brunnstrom stage.
Conclusions:
- Kinect-based FMA is a valid method for assessing upper extremity function in stroke survivors.
- This technology provides objective data on movement quality, useful for rehabilitation.
- The Kinect-FMA shows promise for unsupervised home-based rehabilitation settings.
