Imran Khan Niazi
Papers
6
Total Citations
203
H-Index
5
About
Imran Khan Niazi is a leading researcher in neurorehabilitation and assistive technology, with a focus on restoring motor function after neurological injury. His work bridges biomedical signal processing, machine learning, and robotics to develop intelligent systems for stroke rehabilitation and prosthetic control. A key contribution is his comprehensive narrative review on upper limb motor impairment in stroke, which analyzes the prevalence, risk factors, and economic burden of stroke alongside state-of-the-art therapies—a work that has garnered 92 citations for its clinical relevance. Niazi has also advanced myoelectric control by employing stacked sparse autoencoders for EMG-based classification of hand motions, achieving robust performance across multi-day analyses of both surface and intramuscular signals (65 citations). His research on windowing techniques for intramuscular EMG has further refined diagnostic and assistive devices, while his work on single-channel EEG detection of movement intentions opens doors for simpler brain-computer interfaces. By integrating statistical feature extraction and rehabilitation robotics (e.g., the motoBOTTE device), Niazi’s contributions are shaping more effective, user-friendly technologies for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
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- 6Modeling and Control of Rehabilitation Robotic Device: motoBOTTE4 citations · 2018