Chusak Limsakul
Papers
2
Total Citations
89
H-Index
2
About
Chusak Limsakul is a leading figure in biomedical signal processing, with a research focus on developing advanced human-computer interfaces (HCI) and enhancing the quality of physiological signals. His major contributions lie in the analysis and classification of electrooculography (EOG) signals for assistive technology, as well as the denoising of surface electromyography (sEMG) signals. His seminal 2012 work on evaluating feature extraction methods for EOG-based HCI has garnered 50 citations, establishing a foundational framework for using eye movement patterns as control signals. In parallel, his 2012 study on the usefulness of wavelet transform for sEMG noise reduction, with 39 citations, introduced a robust preprocessing algorithm that significantly improves signal fidelity for prosthetic and rehabilitation applications. Limsakul’s work is notable for bridging theoretical signal processing with practical, real-world applications, particularly in assistive technologies for individuals with motor impairments. His research continues to influence the development of more intuitive and reliable bio-signal interfaces, making him a respected authority in the field of biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Usefulness of Wavelet Transform to Reduce Noise in the SEMG Signal39 citations · 2012