S. Arathy Krishna

Papers

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About

S. Arathy Krishna is a researcher in neural engineering and brain-computer interfaces (BCIs), with a focus on low-cost, accessible neuroprosthetic systems. Her work centers on decoding motor imagery from electroencephalography (EEG) signals, particularly for controlling robotic assistive devices. Her most cited paper, "Categorizing imagined right and left motor imagery BCI tasks for low-cost robotic neuroprosthesis" (2016, 5 citations), addresses a critical challenge in practical BCI deployment: achieving rapid, reliable discrimination of EEG patterns associated with imagined movements. By developing methods to classify left versus right motor imagery, she contributed to making neuroprosthetic control more feasible for real-world, affordable applications. This work is foundational for creating cost-effective solutions that could expand access to assistive technology for individuals with motor impairments. Her research bridges signal processing, machine learning, and rehabilitation engineering, demonstrating a commitment to translating neural interface technology from the lab into practical, low-cost devices that improve quality of life.