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Home-Based Leg Dexterity Trainer for Management of Knee Osteoarthritis

Steadman Philippon Research Institute · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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exercisekneenaosteoarthritis
Rationale: Roughly 14 million adults aged 60 or older (10% male/13% female) in the United States experience symptoms of knee osteoarthritis (OA). Knee OA pain progressively impacts aging, reducing mobility and increasing morbidity. Nonsurgical self-management of knee OA includes exercise to promote proper knee mechanics, non-steroidal anti-inflammatory drugs (NSAIDs), cortisone injections, and weight loss to reduce pain and retain function. As OA has no cure, self-management progresses to \~1 million joint replacements per year. Critically, home-based devices are lacking for specifically training the low-level proprioceptive and neuromuscular circuitry for proper knee mechanics in a safe, focused, mechanistic way. Such devices would supplement exercises for strength, mobility, and whole-body loading and movement. Initially considered a wear-and-tear condition, knee OA is now understood as a complex disease involving inflammatory responses to mechanical loading and neuromuscular feedback loops among pain, joint damage, and dynamic loading. Home-based exercises remain a primary nonpharmacological and nonsurgical approach to managing chronic pain in OA that fundamentally disrupts proprioception and neuromuscular control of the joint, which accelerates articular degeneration. Neuromuscular Dynamics, LLC has developed a simple, safe, quick, and effective Leg Dexterity System that is portable, wireless, and coupled to HIPAA-compliant cloud analytics. A seated participant uses their foot to compress a platform atop a slender spring, which becomes unstable as it begins to buckle at low forces. The participant must then control their leg dexterity (i.e., via short-latency sensorimotor circuits) to stabilize the unstable dynamic foot-ground interactions. A tablet computer connected to the device provides feedback during use and uploads the participant's activity data to the server for analysis and reporting, accessible to users and clinicians. The investigators have succe
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