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About

Rig Das is a leading researcher in neurorehabilitation, specializing in brain-computer interfaces (BCIs) for post-stroke recovery. His work focuses on developing motor imagery (MI)-based BCI systems that translate electroencephalogram (EEG) signals into commands for robotic and assistive devices, helping stroke survivors regain motor function. His most-cited paper, "Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application" (2020), has garnered 249 citations, establishing a foundational framework for designing and implementing these systems. Das has also explored the role of flexible technologies in rehabilitation, as highlighted in his 2021 comprehensive review (34 citations), and advanced EEG signal classification methods for stroke survivors in his 2022 work (15 citations). His research addresses the critical challenge of varying motor impairments caused by strokes, aiming to create personalized, effective neurorehabilitation tools. Through his contributions, Das is advancing the integration of BCI technology into clinical practice, offering new hope for motor-impaired individuals.