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A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting
Sunghoon Ivan Lee1, Xin Liu1, Smita Rajan1
1College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, United States of America.
Finger-worn accelerometers accurately capture both arm and hand movements for assessing upper-limb function during daily activities. This technology offers a valid method for quantifying real-world upper limb use and handedness.
Area of Science:
- Biomedical Engineering
- Rehabilitation Science
- Human Movement Analysis
Background:
- Wrist-worn accelerometers are limited in capturing fine hand and finger movements for assessing activities of daily living (ADLs).
- Objective quantification of real-world upper limb use is crucial for clinical applications and research.
- Existing methods struggle to differentiate between gross arm and fine hand movements during ADLs.
Purpose of the Study:
- To investigate the efficacy of finger-worn accelerometers for capturing both gross arm and fine hand movements.
- To develop and validate a novel measure of real-world upper-limb function using finger-worn accelerometer data.
- To assess the system's ability to identify predominant upper limb use during ADLs.
Main Methods:
- Utilized a system of finger-worn accelerometers on 18 neurologically intact adults in laboratory and free-living settings.
- Monitored subjects performing nine distinct motor tasks in a controlled environment.
- Collected data during a full day in a free-living context to assess real-world applicability.
- Derived a novel measure comparing the duration of activities between the two upper limbs.
- Administered the Waterloo Handedness Questionnaire and Fazio Laterality Inventory for convergent validity.
Main Results:
- The proposed measure accurately distinguished between unilateral and bilateral upper limb use in laboratory settings.
- The system successfully captured both gross arm and fine hand movements during motor tasks.
- In free-living conditions, the measure showed high correlation with self-reported handedness (ρ = 0.78 and ρ = 0.77).
Conclusions:
- Finger-worn accelerometers provide a valid method for assessing real-world upper-limb function, including fine motor skills.
- The derived measure demonstrates face and convergent validity for quantifying upper limb use and handedness.
- This technology overcomes limitations of wrist-worn devices, offering enhanced potential for clinical and research applications.
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