Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Southampton
Feasibility of iterative learning control mediated by functional electrical stimulation for reaching after stroke
Significance of output:
First application of model-based electrical stimulation controller for stroke rehabilitation, demonstrating clinical effectiveness using accepted FMA and ARAT measures. Pivotal in securing £1.4M funding (EPSRC EP/I01909X/1, EP/G014078/1, Wessex Medical, Multiple Sclerosis Society), widely featured in the media (New Scientist, BBC, The Times) and included in two UK Parliamentary Reports. Demonstrates the clinical effectiveness of ground-breaking engineering, as recognised by awards from Institute of Measurement and Control, IEEE International Conference on Rehabilitation Robotics, and IEEE Control Systems Society. The research inspired leading groups (TU Berlin, ETH Zurich, U. California, U. Washington) who later applied the same technology to the lower limb.