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Depth Sensor-Based Assessment of Reachable Work Space for Visualizing and Quantifying Paretic Upper Extremity Motor
Kohei Okuyama1, Michiyuki Kawakami2, Shohei Tsuchimoto3
1Department of Rehabilitation Medicine, School of Medicine, Keio University, Tokyo, Japan.
A depth sensor assessment of reachable workspace (RWS) effectively quantifies upper extremity (UE) motor function in stroke survivors. This method demonstrates strong validity, reliability, and responsiveness for clinical use.
Area of Science:
- Rehabilitation medicine
- Biomedical engineering
- Neuroscience
Background:
- Quantitative assessment of upper extremity (UE) motor function is crucial for individuals recovering from hemiparetic stroke.
- A novel approach using a depth sensor to evaluate reachable workspace (RWS) has been developed to visualize and quantify paretic UE motor function.
Purpose of the Study:
- To investigate the characteristics of RWS measurements.
- To evaluate the validity, reliability, measurement error, and responsiveness of RWS in hemiparetic stroke patients.
Main Methods:
- A descriptive, repeated-measures, observational study involving 58 participants with stroke.
- RWS was measured for both paretic and nonparetic UEs, with the RWS ratio calculated.
- Concurrent validity was assessed against the Fugl-Meyer Assessment UE motor score; reliability and responsiveness were evaluated through repeated measures and pre/post-training assessments.
Main Results:
- The RWS demonstrated significant differences in specific areas (lower vs. upper, medial-lower vs. lateral-lower).
- The RWS ratio showed a high correlation with the Fugl-Meyer Assessment (r=0.81), indicating strong concurrent validity.
- Excellent intrarater reliability (ICC=0.94) and large responsiveness (SRM=0.83) were observed, with a minimal detectable change of 16.6 for the RWS ratio.
Conclusions:
- The RWS assessment using depth sensing is a valid, reliable, and responsive tool for quantifying paretic UE motor function in hemiparetic stroke.
- This depth sensor-based RWS evaluation is practical for clinical settings to monitor stroke recovery.
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