Jonathan Delijorge

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About

Jonathan Delijorge is a researcher at the forefront of non-invasive brain-computer interfaces (BCIs), with a primary focus on assistive technologies for individuals with severe motor impairments. His work centers on P300-based systems, leveraging the brain’s event-related potentials to enable communication and direct device control. Delijorge’s most impactful contribution is the design and evaluation of a P300-based brain-machine interface (BMI) for a robotic hand-orthosis, published in 2020 and cited 34 times. This system was specifically developed to restore hand function in patients with amyotrophic lateral sclerosis (ALS), allowing them to open and close their hands through thought alone—a critical step toward improving quality of life. By integrating real-time EEG signal processing with robotic actuation, his work demonstrates a practical pathway from neural signals to tangible motor assistance. In a subsequent 2022 study, he further refined P300-based BCIs for broader communication and control applications. Delijorge’s research directly addresses the translational gap in neuroprosthetics, offering scalable, non-invasive solutions that prioritize user autonomy. His contributions are shaping the future of assistive neurotechnology, making him a key figure in the development of accessible BCIs for clinical and home use.