Project goal is to assess outcomes of a non-​invasive brain stimulator for future application in stroke rehabilitation. This will involve using an exciting novel method of brain stimulation together with simultaneous multisensory recordings of various physiological parameters, including heart rate, galvanic skin response, pupillometry and electroencephalogram (EEG). The results of the project will help develop brain stimulation protocols that elicit meaningful neural responses in healthy subjects, and in stroke patients.

Real-​time analysis of movement kinematics can benefit multiple different strategies in rehabilitation after stroke, including allowing closed-​loop brain stimulation. Use of inertial measurement units (IMUs) allows detection of movement and extraction of kinematic features, but application in real-​time remains challenging. This project will develop algorithms for real-​time movement data analysis and feature extraction in typical rehabilitation tasks and general real-​life movements. In turn, these algorithms will be applied to control novel brain stimulation approaches in stroke neurorehabilitation.

Many clinical outcomes depend on patient motivation. This in turn can be helped by demonstrating progress to patients and their doctors in a user-friendly and intuitive manner. The goal of this project is to demonstrate rehabilitation progress data to patients and their therapists. We are seeking a talented UI designer as an intern, thesis student or a permanent member of the team.