K. Venkatachalam
Vellore Institute of Technology University, University of Hradec Králové
Papers
2
Total Citations
117
H-Index
2
About
Dr. K. Venkatachalam is a prominent researcher at the intersection of biomedical signal processing, artificial intelligence, and the Internet of Things (IoT). His work primarily focuses on developing intelligent systems for healthcare monitoring and diagnostics, leveraging advanced machine learning and deep learning techniques. A major contribution is his pioneering application of fuzzy kernel Support Vector Machines combined with wavelet Independent Component Analysis for the automatic detection and classification of EEG artifacts, a foundational method that has garnered 83 citations. He has also advanced the field of pervasive healthcare by designing a Deep Belief Neural Network for 5G-enabled diabetes monitoring within big data frameworks on edge IoT, a study cited 34 times. Despite a retraction on one of his highly cited papers, his core research continues to influence the development of robust, real-time health analytics. Dr. Venkatachalam’s work is essential reading for those exploring AI-driven diagnostics, artifact removal in neural signals, and the integration of edge computing with medical IoT.
Research Focus
Key Achievements
Top Papers
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