Sadasivan Puthusserypady
Papers
8
Total Citations
393
H-Index
6
About
Sadasivan Puthusserypady is a leading researcher in neural engineering and assistive technology, specializing in brain-computer interfaces (BCIs) for neurorehabilitation and mobility restoration. His work primarily focuses on developing non-invasive BCI systems that translate neural signals—such as motor imagery (MI), steady-state visual evoked potentials (SSVEP), and code-modulated visual evoked potentials (c-VEP)—into practical control commands for assistive devices. His major contributions include designing MI-based BCIs for upper limb post-stroke neurorehabilitation, with a comprehensive review paper on this topic accumulating 249 citations, highlighting its significant impact on the field. He has also pioneered innovative applications like mind-controlled drones using multiclass SSVEP (45 citations) and eye-gaze wheelchair control systems (33 citations), demonstrating a commitment to restoring independence for individuals with neurodegenerative diseases or motor impairments. Additionally, his work on pseudorandom code-modulated VEPs for robust wheelchair control showcases his technical expertise in signal processing and system optimization. With over 390 total citations across his most-cited works, Puthusserypady’s research bridges engineering and clinical practice, offering scalable, user-friendly solutions that empower patients to regain mobility and quality of life.
Research Focus
Key Achievements
Top Papers
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- 4Exploring Eye-Gaze Wheelchair Control33 citations · 2020
- 5Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation15 citations · 2022
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