Yogesh Kumar Meena

Papers

Total Citations

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About

Yogesh Kumar Meena is a leading researcher in brain-computer interfaces (BCIs) and neurorehabilitation, with a focus on integrating neural and muscular signals to restore motor function. His most cited work, "An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation" (2018, 95 citations), introduces a novel approach that combines electroencephalography (EEG) and electromyography (EMG) to decode user intent for controlling hand orthoses. This contribution is pivotal in advancing assistive technologies for stroke survivors and individuals with motor disabilities, enabling more intuitive and effective rehabilitation. Meena's research bridges the gap between neural decoding and practical therapeutic devices, demonstrating how multimodal signal processing can enhance BCI performance. His work has garnered significant attention, with the 2018 paper alone accumulating nearly 100 citations, reflecting its impact on both engineering and clinical communities. By developing systems that leverage the natural correlation between brain and muscle activity, Meena has opened new pathways for personalized, closed-loop neurorehabilitation. His achievements underscore a commitment to translating cutting-edge neural engineering into real-world solutions that improve quality of life for patients with neurological impairments.