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Updated: Mar 17, 2026

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Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
Published on: March 28, 2018
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Development of novel biomechanical outcomes using motion capture to characterize hand function in multiple sclerosis
Samhitha M Rai1, Mengke Du2, Joshua Johnston3
1Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Multiple Sclerosis and Related Disorders
|March 15, 2026
Summary
Novel biomechanical measures using the Manual Dexterity Test (MDT) show promise in characterizing upper extremity function in people with MS (PwMS). These new outcomes better identify impairment compared to traditional tests.
Area of Science:
- Neurology
- Biomedical Engineering
- Rehabilitation Science
Background:
- The Nine-Hole Peg Test (9HPT) has limitations in assessing upper extremity function in people with Multiple Sclerosis (PwMS).
- Existing measures may be insensitive to subtle impairments in PwMS.
Purpose of the Study:
- Develop novel biomechanical outcomes to better characterize upper extremity function in PwMS.
- Identify new quantitative measures sensitive to MS-related motor deficits.
Main Methods:
- 16 PwMS and 16 healthy controls (HC) performed an iPad-based manual dexterity test (MDT).
- A Kinect® device captured 3D hand motion, analyzed using a mathematical model to derive novel outcomes.
- Associations between MDT outcomes and clinical measures (spasticity, dysmetria, weakness) were assessed.
Main Results:
- Novel measures like 'Time to Grab' showed large effect sizes in discriminating PwMS from HC for both dominant and non-dominant hands.
- Several other novel measures, including 'Actual Distance-xy' and 'Movement Delay', also demonstrated significant effect sizes.
- The traditional MDT total time also showed a large effect size for the non-dominant hand.
Conclusions:
- MDT Total Time remains a valuable conventional measure for discriminating PwMS from HC.
- Novel biomechanical measures derived from the MDT show potential for enhanced characterization of PwMS' upper extremity function.
- These new measures correlate with clinical characteristics, offering a more comprehensive assessment than traditional methods.

