Wan Mohd Bukhari Wan Daud
Papers
1
Total Citations
2
H-Index
1
About
Dr. Wan Mohd Bukhari Wan Daud is a researcher specializing in biomedical signal processing, with a particular focus on the analysis of ocular and muscular electrical activity. His work centers on advancing methodologies for interpreting surface electromyography (sEMG) signals, especially those related to eye movement potentials. In his notable 2013 study, he addressed the limitations of traditional Fourier Transform approaches by applying Wavelet Transform analysis, enabling multi-scale decomposition of sEMG data for more precise characterization of ocular behavior. This contribution, while garnering 2 citations, represents a foundational step in improving non-invasive biosignal interpretation for applications in human-computer interaction and assistive technologies. Dr. Wan Daud’s research bridges engineering and physiology, offering tools that enhance the detection and classification of subtle neuromuscular signals. His work underscores a commitment to refining signal processing techniques that can support future innovations in rehabilitation and neurotechnology.
Research Focus
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Top Papers
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