Mohit Raghav -

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Total Citations

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About

Mohit Raghav is a researcher in biomedical engineering and human-machine interaction, with a primary focus on brain-computer interfaces (BCI) and assistive technologies. His work centers on decoding neural signals to enable prosthetic control, particularly through non-invasive EEG-based systems. His most cited paper, "Elbow movement detection using brain computer interface" (2012), demonstrates a practical approach to translating brain activity into real-world actuator movements by extracting simple time-domain features like mean and variance from EEG data. This foundational study, with 2 citations, laid groundwork for accessible, low-cost BCI applications in rehabilitation robotics. Raghav’s contributions are notable for bridging the gap between neural signal processing and tangible assistive devices, offering a pathway for individuals with motor impairments to regain limb function. His research reflects a commitment to translating complex neuroengineering concepts into user-friendly solutions, making him a promising voice in the evolving field of non-invasive neural control systems.