Parkinson’s disease affects more than 10 million people worldwide and over one million individuals in the United States. Although pharmacological treatments can alleviate symptoms, no therapy currently halts disease progression. Exercise-based rehabilitation has been shown to improve motor function — yet personalization remains limited in conventional programs.
Adaptix Neuro builds upon a substantial body of peer-reviewed research demonstrating the benefits of motor-assisted cycling therapy.
Early Clinical Findings
In pilot studies conducted by our team:
- Participants demonstrated 13% improvement in UPDRS motor scores after three sessions
- Improvements reached 22% after twelve sessions
These results are particularly significant given the non-invasive, exercise-based nature of the intervention.
Interaction Variability and Motor Improvement
Our research identified a key insight: variability in cadence and power output during assisted cycling strongly correlates with motor improvement.
Specifically:
- Approximate Entropy (ApEn)
- Sample Entropy (SampEn)
were shown to predict therapeutic response. This discovery laid the foundation for the adaptive algorithms now embedded within Adaptix Neuro.
Objective Measurement and Validation
Clinical validation includes:
- Use of UPDRS motor scoring
- Integration with wearable motion sensors such as Kinesia One
- Monitoring of physiological signals to ensure safety
Our Phase I objectives focus on validating real-time adaptive control strategies in lab-based studies with Parkinson’s disease participants, comparing adaptive therapy to static pre-set exercise protocols.
Beyond Parkinson’s Disease
While Parkinson’s disease is our initial target population, the broader neurological rehabilitation market includes:
- Stroke survivors
- Individuals with multiple sclerosis
- Patients with motor neuron disorders
- Aging populations experiencing mobility decline
The adaptive framework developed by BioMotion allows expansion into these domains without fundamental redesign.
Toward Scalable, Intelligent Rehabilitation
Our long-term vision is to enable:
- Clinic-based deployment under therapist supervision
- Home-based rehabilitation with remote monitoring
- Data-driven therapy optimization at scale
By combining clinical evidence, advanced control systems, and machine learning, BioMotion aims to redefine how neurorehabilitation therapy is delivered — making it more personalized, effective, and accessible.