Supervisor: Prof. Madeleine Lowery, UCD School of Electrical and Electronic Engineering
Over the past decade, high density arrays for recording surface EMG (sEMG) have opened the possibility to extract information on the activity of individual motoneurons from the surface EMG signal. Using this approach, changes in neural control strategies and within the muscle associated with neurodegenerative conditions can be examined non-invasively. The aim of this project is to use new methods for analysing high density surface EMG signals to examine motor unit activity during DBS for Parkinson’s disease. The project is in collaboration with Tallaght University Hospital an d the Mater University Hospital and is funded as part of the Insight Centre for Data Analytics (https://www.insight-centre.
PhD students will have their full academic fees paid
and will receive an annual stipend for four years.
Suitable PhD candidates will be graduates with a minimum of a 2.1 degree in engineering,
physiotherapy or related disciplines.
For further information please contact Prof. Madeleine Lowery (email@example.com) .
Or this form for expression of Interest