Our research aims to restore function in individuals who suffer from motor impairments caused by neurological conditions like stroke and spinal cord injuries. We utilise brain and muscle signals obtained using both invasive and non-invasive techniques to control a range of effector devices including robotic hands and other exoskeletons. The general application of such technology is called brain machine Interface (BMI).
Our research also involves the investigation of the use of electrical and magnetic stimulation of the central nervous system for rehabilitation of neurological conditions. In order to improve the efficacy of our rehabilitative systems, we also investigate the neurophysiology of mustisensory integration and psychophysics.
The ultimate goal of our research is the optimization of rehabilitation strategies and the development of assistive neuroprostheses which aim to restore function in subjects with motor impairments. For this purpose, we combine our collective expertise in multiple disciplines including state-of-the-art signal processing, technology development, neurophysiology, and motor skill learning and rehabilitation.
Technology and techniques we apply: EEG, MEG, fNIRS, fMRI, EMG, ECoG, Intracortical electrodes, Robotics (exoskeletons), FES, TMS, tDCS, haptic feedback