Papers
2
Total Citations
11
H-Index
2
About
Direk Sueaseenak is a researcher in biomedical engineering and human-machine interaction, with a focus on electromyography (EMG) signal processing and prosthetic control. His work centers on developing accurate, low-cost methods for classifying muscle contractions to enable intuitive control of robotic limbs and virtual prostheses. In his most cited paper (2013, 8 citations), he introduced a novel EMG classification algorithm using two-channel electrodes and independent component analysis (ICA) for blind-source separation, achieving control of a virtual hand prosthesis with 12 degrees of freedom. Earlier, in 2008 (3 citations), he designed a multi-channel EMG acquisition system based on a programmable system-on-chip (PSoC) microcontroller, using a 4×4 array of low-cost EKG electrodes and B-spline interpolation to control a robotic arm. Though his citation counts are modest, Sueaseenak’s contributions emphasize practical, accessible solutions for prosthetic control, bridging signal processing and embedded systems. His work is particularly relevant for students and researchers exploring affordable assistive technologies and real-time biosignal classification.
Research Focus
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Top Papers
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