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Age-based model for metacarpophalangeal joint proprioception in elderly
Mike D Rinderknecht1, Olivier Lambercy1, Vanessa Raible2
1Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Clinical Interventions in Aging
|April 25, 2017
Summary
Proprioception, or body sense, declines with age, particularly in the elderly. This study developed a rapid robotic assessment to model healthy hand proprioception in older adults, aiding clinical diagnosis.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Gerontology
Background:
- Neurological injuries like stroke often cause proprioceptive deficits.
- Proprioception naturally declines with age, a critical factor as stroke predominantly affects the elderly.
- Existing age-related proprioception models are limited, especially for distal limb segments.
Purpose of the Study:
- To establish a normative proprioception model for healthy elderly individuals (55-80 years).
- To quantify the effect of aging on hand proprioception using a specific joint.
- To assess the clinical feasibility of a robotic assessment tool for proprioception.
Main Methods:
- Assessed metacarpophalangeal joint angle difference threshold in 30 healthy elderly participants.
- Utilized a robotic device for precise, passive index finger movements.
- Employed a two-alternative forced-choice paradigm with an adaptive algorithm for efficient testing (<15 minutes).
Main Results:
- Aging significantly increased the proprioceptive difference threshold at the metacarpophalangeal joint.
- Neither the tested hand nor sex significantly impacted the proprioception results.
- The robotic assessment proved rapid and reliable for quantifying proprioception.
Conclusions:
- Proprioception in the hand demonstrably declines with age in the elderly population.
- The developed age-based model serves as a crucial reference for evaluating proprioceptive deficits in stroke and other neurological conditions.
- Automated robotic tools offer a promising avenue for quantitative, rapid proprioception assessment in clinical and research settings.
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