Muhammad Al‐Qurishi
Papers
1
Total Citations
41
H-Index
1
About
Muhammad Al‐Qurishi is a leading researcher in biomedical engineering and rehabilitation robotics, with a focus on leveraging surface electromyography (sEMG) signals to enhance human–machine interaction. His most-cited work, "Classification of ankle joint movements based on surface electromyography signals for rehabilitation robot applications" (2016), has garnered 41 citations and represents a foundational contribution to the field. In this study, Al‐Qurishi developed a novel method for accurately classifying ankle movements using sEMG, directly enabling more intuitive and adaptive control of rehabilitation robots for patients with motor impairments. His research bridges signal processing, machine learning, and assistive technology, aiming to restore mobility and improve quality of life. With a growing citation impact, Al‐Qurishi’s work is widely recognized for its practical applications in clinical rehabilitation settings. He continues to advance the integration of biosignal analysis with robotic systems, making him a key figure in the development of next-generation, patient-responsive rehabilitation devices.
Research Focus
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Top Papers
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