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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Top Spinal Cord Inj Rehabil. 2018;24(3):265-274
Likitlersuang J, Koh R, Gong X, Jovanovic L, Bolivar-Tellería I, Myers M, Zariffa J, Márquez-Chin C
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Shojaei MH, Alavinia M, Craven BC, Cheng CL, Plashkes T, Shen T, Fallah N, Humphreys S, O'Connell C, Linassi AG, Ho C, Short C, Ethans K, Charbonneau R, Paquet J, Noonan VK, Furlan JC, Fehlings MG, Craven BC, Likitlersuang J, Sumitro E, Kalsi-Ryan S,...
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Talakoub O, Marquez-Chin C, Popovic MR, Navarro J, Fonoff ET, Hamani C, Wong W
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Can J Occup Ther. 2017 Jan 01;:8417416668370
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