Sam Matiur Rahman

Najran University, Daffodil International University

Papers

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About

Sam Matiur Rahman is a researcher at the forefront of biomedical engineering, specializing in rehabilitation systems and biosignal processing. His work centers on integrating electromyography (EMG) biosensors with machine learning to restore motor function in physically disabled patients. In his seminal 2011 survey, which has garnered 22 citations, Rahman systematically reviewed automated rehabilitation systems, highlighting how EMG-driven technologies can assist patients with impaired movement. This foundational work mapped the landscape of haptic feedback and control interfaces, establishing a roadmap for future innovations. More recently, his 2020 study advanced the field by comparing machine learning algorithms for classifying forearm muscle activity during prehension movements. By evaluating performance metrics across different classifiers, Rahman demonstrated how precise EMG pattern recognition can enable intuitive prosthetic control and neurorehabilitation. His contributions bridge the gap between raw biosensor data and actionable clinical tools, offering scalable solutions for assistive technology. With a focus on translating computational models into real-world applications, Rahman continues to shape how EMG-based systems restore independence and quality of life for individuals with physical disabilities.