Imamal Muttaqien
Papers
1
Total Citations
7
H-Index
1
About
Imamal Muttaqien is a researcher in biomedical signal processing and human-robot interaction, with a focus on harnessing biological signals for assistive technologies. His key contributions center on the design and application of Electrooculogram (EOG) systems—detecting eye movement signals to control mobile robots. In his most-cited work (2017, 7 citations), Muttaqien engineered a multi-stage signal processing chain, including differential instrumentation amplifiers, cascaded high-pass and low-pass filters, to reliably capture EOG signals. This system enables intuitive, hands-free control of robotic platforms, offering potential benefits for individuals with motor impairments. By integrating hardware design with real-world experimentation, his research bridges the gap between physiological sensing and practical robotics. Though early in his career, Muttaqien’s work demonstrates a clear impact in the niche of EOG-based control, laying groundwork for more accessible human-machine interfaces. His approach—combining rigorous circuit design with application-driven testing—exemplifies how biomedical engineering can directly enhance quality of life through innovative assistive devices.
Research Focus
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Top Papers
- 1