Brain-machine interfaces use brain signals to control electronic devices. Dr. Marquez Chin's research explores how this technology can be used to assist individuals with limited mobility, and to diagnose, treat and rehabilitate different neurological conditions. The brain-machine interfaces developed in his laboratory can identify different hand and arm movements through detailed analysis of the electrical activity of the brain. These signals can be recorded from a person's scalp or intracranially. Controlling computers, neuroprosthetic devices and robots to restore movement after paralysis are an integral part of Dr. Marquez Chin's research.

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For a list of Dr. Márquez Chin's publications, please visit PubMed, Scopus or ORCID.

Faculty Affiliate, Institute of Biomedical Engineering, University of Toronto