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.
EEG-Controlled Functional Electrical Stimulation Therapy With Automated Grasp Selection: A Proof-of-Concept Study.
Top Spinal Cord Inj Rehabil. 2018;24(3):265-274
J Spinal Cord Med. 2017 Nov;40(6):631-640
Abstracts and Workshops 7th National Spinal Cord Injury Conference November 9 - 11, 2017 Fallsview Casino Resort Niagara Falls, Ontario, Canada.
J Spinal Cord Med. 2017 Nov;40(6):813-869
PLoS One. 2017;12(9):e0182542
J Spinal Cord Med. 2017 Sep 12;:1-8
J Spinal Cord Med. 2017 Sep 07;:1-10
Functional electrical stimulation therapy for severe hemiplegia: Randomized control trial revisited.
Can J Occup Ther. 2017 Jan 01;:8417416668370
Eur J Transl Myol. 2016 Jun 13;26(3):6222
EEG-Triggered Functional Electrical Stimulation Therapy for Restoring Upper Limb Function in Chronic Stroke with Severe Hemiplegia.
Case Rep Neurol Med. 2016;2016:9146213
Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.
J Spinal Cord Med. 2012 Sep;35(5):382-91
Scientist, Toronto Rehabilitation Institute (TRI)