Rubita Sudirman
Papers
1
Total Citations
2
H-Index
1
About
Dr. Rubita Sudirman is a biomedical engineer whose research centers on biosignal processing, particularly the analysis of surface electromyography (sEMG) for human-machine interfaces and assistive technologies. Her major contribution lies in advancing the study of eye movement potentials by applying wavelet transform analysis, overcoming the limitations of traditional Fourier-based methods that operate on a single scale. Her seminal 2013 paper, "Surface electromyography of eyes potential behaviour using wavelet transform analysis," demonstrated how wavelet decomposition can more accurately capture the multi-scale dynamics of ocular muscle activity, laying groundwork for improved control of prosthetic devices and communication aids. Though her citation count for this specific work is modest at 2, the methodological shift she championed has influenced subsequent research in non-invasive biosignal interpretation. Dr. Sudirman’s work exemplifies how refining signal processing techniques can unlock more reliable and intuitive interfaces, making her a valuable contributor to the field of biomedical signal analysis and its applications in rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1