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Brain-Computer Interface based on movement-related Cortical Potentials for stroke rehabilitation

  • 13.11.19
  • 10:00 - 11:30
  • Tehnopol recommends

U02-409, Ehitajate tee 5, Tallinn

A brain-computer interface (BCI) is a system that interprets brain signals generated by the user, allowing specific commands from the brain to be sent to an external device. Such interface enables severely disabled people to interact with their environment without the need for any activation of their normal pathways involved in motor commands. The combination of rehabilitation paradigms and BCIs, both of which exploit cortical plasticity, could help people become “able” once again. For this reason, BCI systems appear promising rehabilitation tools.

This presentation will provide some insight into the inter professional collaboration for development of a BCI system that can be used for stroke rehabilitation when it is based on neuromodulation techniques using Hebbian plasticity and movement-related cortical potentials (MRCP).

About the speaker:

Imran Khan Niazi received his B.Sc. degree in Electrical engineering (specialization: Biomedical Engineering) from the Riphah International University, Islamabad, Pakistan, in 2005, and his Masters in biomedical engineering from University & FH Luebeck, Luebeck, Germany in 2009 and later he got his PhD from Center of sensory-motor interaction, Health Science Technology Department, University of Aalborg, Aalborg, Denmark in 2012 under supervision of Prof Dario Farina. After working as a postdoc for a year, he moved to New Zealand in 2013, where he is currently working as Senior Research Fellow at New Zealand College of Chiropractic. Dr Niazi research interests focus on rehabilitation engineering with the patient-centred approach. For that, he is interested in studying and understanding the altered mechanism of motor control and learning in neurological disorder. Understanding these mechanisms can assist us in developing various technologies that can enhance the quality of life (QOL) of these patients, during and after my PhD he has been utilising brain-computer interfaces to achieve goals above. He has authored 50 peer-reviewed journal papers and 86 conference papers (proceedings and extended abstracts including). His work has been cited ~ 1200 times, and he has an h-index of 16 according to Google Scholar.

Acknowledgements

This talk is hosted in the context of the Cognitive Electronics (COEL) ERA-Chair project – European Union’s Horizon 2020 research and innovation programme under grant agreement No 668995. This material reflects only the authors’ view and the EC Research Executive Agency is not responsible for any use that may be made of the information it contains.

Further, this talk is also hosted in the context of the Closed-Loop Communication System to Support Highly Responsive Neuromuscular Assistive Stimulation project – Estonian Research Council PRG424 research programme.

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