Adaptive physical therapy using wearable robotics & reinforcement learning
We at Avex motion aim to improve the quality of care in rehabilitation and physical therapy in an environment of reducing reimbursement and increasing costs. We believe in empowering therapists through quantitative data driven metrics on patient progress and automating documentation, so that they can provide patients the care they need.
With our robotics and AI backed solution, we can improve patient outcomes, increase clinical revenue and help over 50 million Americans who face a musculoskeletal injury ever year.
Our Story
Avex Motion is the brain child of 4 engineering researchers with a zeal to bring about positive changes in healthcare using their two passions: Robotics and Artificial Intelligence.
With increasing prevalence of musculoskeletal disorders and an aging population, Dr. Helen Huang has recognized the need for wearable robots that can personalize assistance and rehabilitation for each individual by combining Reinforcement Learning with traditional biomechanics knowledge. With this goal, she established the Neuromuscular Rehabilitation Engineering Laboratory at North Carolina State University. Over the last 10 years, she has been pushing the frontiers of wearable robotic technology by pioneering novel prosthetics and exoskeletons for people affected by a wide range of neuromuscular disorders.
Avex Motion is a spin off resulting from the research pioneered at the lab, and is based on the patented NREL exoskeleton. The exoskeleton based rehabilitation system has gained significant interest as a tool for physical therapy. Current outpatient therapy clinics are overburdened by increasing therapist costs, reducing reimbursement and patient drop out. This system is seen to address the needs of the clinics through quantified measurements and data analytics, based on customer outreach and analysis.
Encouraged by the customer feedback, the team incorporated Avex Motion in 2022 to translate the technology into a portable device for Physical Therapy. The team has already developed a wireframe model product and is in the process of performing field trials to further develop the product by involving clinical users in the design process through iterative feedback.
