Atif Alamri
Papers
3
Total Citations
68
H-Index
3
About
Atif Alamri is a leading researcher at the intersection of biomedical engineering, robotics, and smart healthcare systems. His primary contributions lie in developing intelligent rehabilitation technologies for stroke survivors and paralyzed patients, with a particular focus on integrating Internet of Things (IoT) and deep learning into assistive robotics. Alamri’s most cited work (41 citations) introduces a novel method for classifying ankle joint movements using surface electromyography (sEMG) signals, directly advancing the control of rehabilitation robots. He also pioneered a low-cost, natural robotic rehabilitation exergame glove designed for the unaffected arm of stroke patients—a creative approach that leverages the patient’s healthy limb to guide therapy, enhancing engagement and recovery. More recently, his 2022 study on an IoHT-based deep learning controlled robot vehicle for paralyzed patients in smart cities (12 citations) demonstrates his forward-looking vision for connected, autonomous assistive technologies. Alamri’s work is notable for its practical, patient-centered design, bridging the gap between clinical rehabilitation and smart city infrastructure. His research not only achieves high citation impact but also offers scalable, affordable solutions for improving mobility and quality of life in disabled populations.
Research Focus
Key Achievements
Top Papers
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