Liyana Najwa Inche Mat
Papers
2
Total Citations
12
H-Index
2
About
Liyana Najwa Inche Mat is a rising researcher in rehabilitation robotics and human-machine interfaces, with a focused expertise in soft robotic glove systems and surface electromyography (sEMG) signal processing. Her work addresses a critical challenge in assistive technology: making robotic hand devices practical for daily use by stroke survivors and patients with hand impairments. In her highly cited 2020 study, she identified the optimal forearm muscle for controlling a soft robotic glove using a single sEMG channel, simplifying device design while maintaining functionality. Her follow-up work investigated amplitude-independent algorithms for detecting hand muscle activity in stroke survivors, tackling the involuntary amplitude variations that often degrade sEMG-based control systems. These contributions have earned her papers 7 and 5 citations respectively, establishing a foundation for more robust, user-friendly assistive technologies. By focusing on signal processing solutions that overcome real-world barriers to adoption, Inche Mat is helping bridge the gap between laboratory prototypes and practical home rehabilitation tools, making her a promising voice in the field of neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 2