Smart Medical Device · 2025–26
O.N.Y.X. — Orthopedic Neural-adaptive Yield & eXoskeletal Support — is a smart wearable knee rehabilitation brace developed as my final-year project at UWE Bristol. It combines pneumatic compression, Peltier thermal therapy, and Arduino-driven adaptive feedback into a single integrated device.
The project grew directly from my own multi-year recovery from a serious knee injury. The gap between clinical physiotherapy sessions and unsupported at-home recovery is where most patients struggle — O.N.Y.X. was designed to close that gap.
Developed over the final year of my degree, the project encompassed industrial design, electronics engineering, firmware development, clinical research, and commercial strategy. Hardware was validated through extensive prototyping and iterative firmware development across multiple versions. Clinical placement protocols were informed by input from physiotherapy practitioner Matthew Bishop at Salford University, covering thermal application sites, compression sequencing, and session timing.
Controller
Arduino Mega 2560
Thermal range
14°C – 37°C
Compression modes
3 programmable
Motors
4× GA12-N20 via 2× DRV8833
Thermal modules
2× TEC1-12706 Peltier via L298N
Sensors
MF52-103 NTC thermistors
Power
IP5328P module + keep-alive
Feedback
WS2812B LED strip
Regulatory path
Class IIa — MHRA/UKCA