A multi-sensor, hybrid model- and signal-based control system for powered lower limb prostheses

Lead Research Organisation: Imperial College London
Department Name: Dept of Bioengineering

Abstract

Lower limb prosthetics have been advanced in the past decades, substantially improving individuals' mobility. However, they still provide inferior performance with respect to their biological counterparts, especially when walking on rough terrains or slopes and climbing stairs. Active prostheses for the lower limb can better support these functions than passive prostheses but they require a man-machine interface with the user. In this project, muscle signal recordings (EMG) from the residual limb muscles of the user will be used together with kinetic/kinematic sensors mounted on the prosthesis (multi-sensor fusion) for classifying between locomotion modes, resulting in a clinically relevant improvement in control. Moreover, the inclusion of a man-machine interface based on EMG will allow volitional control of non-locomotor tasks.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512540/1 01/10/2017 30/09/2021
1974772 Studentship EP/R512540/1 02/10/2017 01/10/2021 Hristo Dimitrov