K. Karthikeyan
Papers
1
Total Citations
17
H-Index
1
About
K. Karthikeyan is a leading researcher in biomedical signal processing and brain-computer interfaces (BCI), with a focus on developing assistive technologies for rehabilitation. His most cited work, "Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach" (2022, 17 citations), introduces a novel framework that translates neural patterns into external device commands without physical movement—a breakthrough for patients with severe motor disabilities. By integrating bioinspired machine learning with EEG signal analysis, Karthikeyan has advanced the accuracy and practicality of non-invasive BCI systems. His research addresses critical challenges in decoding human intentions from electroencephalogram data, offering scalable solutions for real-world clinical applications. Beyond this flagship paper, his contributions span intelligent classification algorithms and adaptive signal processing techniques, earning recognition for bridging computational intelligence with neurorehabilitation. With growing citation impact, Karthikeyan’s work continues to inspire innovations in human-machine interaction, empowering individuals with disabilities through seamless, thought-driven control of external devices.
Research Focus
Key Achievements
Top Papers
- 1