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About

Omar Mendoza-Montoya is a leading researcher in the field of brain-computer interfaces (BCIs) and neurorehabilitation, with a primary focus on developing assistive technologies for individuals with severe motor impairments. His work centers on decoding neural signals to restore communication and movement, particularly for patients with amyotrophic lateral sclerosis (ALS). Mendoza-Montoya’s major contributions include the design and evaluation of a P300-based brain-machine interface for controlling a robotic hand-orthosis, enabling ALS patients to perform hand movements independently—a breakthrough with 34 citations. He has also advanced the anticipatory detection of self-paced rehabilitative movements from EEG signals, addressing the challenge of recognizing movement intentions from the same limb, a key step toward finer motor recovery control (22 citations). His research extends to understanding ALS as a network disorder, exploring functional connectivity and frequency power alterations during cognitive tasks (6 citations). With a growing citation impact and a focus on real-world applications, Mendoza-Montoya’s work bridges neuroscience and engineering, offering hope for enhanced communication and motor function in neurodegenerative disease.