Smart Medical Device · 2024–25
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.
Clinical input was provided by physiotherapy apprentice Matthew Bishop at Salford University. The device is designed against a Class IIa regulatory pathway under MHRA/UKCA, with a pre-commercial cost estimate of £49,700–£147,900 and a target market projected at £1.57B by 2030.
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