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Published on: May 20, 2020
Investigating age-related decline in sensorimotor control using robotic tasks
Laura Alvarez-Hidalgo1, Ellie Edlmann2, Gunnar Schmidtmann3
1School of Computing, Engineering and Mathematics, University of Plymouth, Plymouth, United Kingdom.
Robot-based tasks objectively measure age-related sensorimotor decline. Older adults showed slower movements and reduced force, with viscous resistance tasks most sensitive to these changes, aiding clinical assessment.
Area of Science:
- Neuroscience
- Biomechanics
- Gerontology
Background:
- Aging is linked to sensorimotor control changes, impacting function and increasing fall risk.
- Current motor assessments often lack objectivity, necessitating quantitative tools.
Purpose of the Study:
- To develop and validate robot-based tasks for assessing age-related sensorimotor performance differences.
- To compare sensorimotor capabilities between young and older adults using novel robotic evaluations.
Main Methods:
- Three robot-based tasks using the vBOT manipulandum were designed for bimanual and unimanual movements under altered dynamics.
- Tasks included motor learning, object-like force fields, and viscous force fields to challenge sensorimotor control.
- Evaluated healthy young (<35 years) and older (>60 years) adults, comparing dominant and non-dominant arm performance.
Main Results:
- All tasks revealed age-related sensorimotor performance deficits.
- The viscous resistance task was most sensitive, detecting declines in movement speed, force, and response time.
- Older adults exhibited slower movements, longer task completion times, lower peak forces, and delayed response onset compared to younger adults.
Conclusions:
- Robot-based tasks provide objective, quantitative metrics for age-related sensorimotor decline.
- These tasks can sensitively detect functional changes associated with aging.
- Findings support the use of robot-based assessments for clinical evaluation and monitoring of sensorimotor health in aging populations.
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