Impact Acceleration Projects: Round 1
Co-designing RehaSock to support home-based stroke rehabilitation
// WEARABLES & TEXTILES
This project is developing a smart e-textile sock to support home-based stroke rehabilitation by monitoring lower-limb movement in an accessible, low-cost way
RehabAI: Towards adaptive, data-driven rehabilitation planning
// AI & DATA-DRIVEN TECHNOLOGIES
RehabAI is developing an advanced decision‑support system using AI to inform personalised rehabilitation for neurological conditions and brain injury
Thermal imaging for musculoskeletal assessment in primary care
// SENSORS, DIAGNOSTIC DEVICES & TECHNIQUES
This project is piloting thermal imaging as a low‑cost, portable diagnostic tool for assessing acute musculoskeletal (MSK) injuries in primary care
Smart bra for rehabilitation monitoring in breast cancer survivors
// WEARABLES & TEXTILES
This project explores adapting a smart Electrical Impedance Tomography (EIT) bra into a low‑cost wearable for continuous at‑home monitoring of breast cancer survivors
Co-designing driving prosthetics for upper and lower limb amputees
// PROSTHETICS
This project is developing bespoke driving prosthetics for upper and lower limb amputees using a high fidelity racing simulator rig
Commercialisation and NHS adoption strategy for PoLance device
PI: Simon Castle-Green, University of NottinghamThis project is developing a gamified platform to benefit stroke patients and those at risk of falls.
Meta-Footwear for Rheumatoid Arthritis Foot Deformities (META-SHOES)
PI: Mahdi Bodaghi, Nottingham Trent UniversityMETASHOES is developing patient specific, 3Dprinted meta footwear for people with rheumatoid arthritis (RA).
Real World Evaluation of i-Impact
PI: Dr Enya Daynes, UHL NHS TrustThis project will accelerate the adoption of i-Impact, a digital pulmonary rehabilitation (PR) programme designed to improve outcomes for people with Chronic Obstructive Pulmonary Disease.
NIRA – Non Invasive Respiratory Assessment for Breathing Pattern Disorder
PI: Dr Sam Winter, Loughborough UniversityThis project is developing a smartphone based, non-invasive respiratory assessment system to support earlier and more accurate identification of Breathing Pattern Disorder (BrPD) — a common but often overlooked cause of breathlessness.
Breath by Breath: Advancing Home-Based Respiratory Monitoring for Long Covid
PI: Dr Ricardo Correia, University of NottinghamBreath by Breath is accelerating two novel wearable sensing technologies, fibre‑optic respiratory sensing and capaciflector sensing, to support continuous, home‑based respiratory monitoring for people living with Long Covid.