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Presently, she is working as Senior Professor and Dean Faculty Development and Industry Relations in the Department of Electronics and Communication Engineering at Bannari Amman Institute of Technology, Tamil Nadu, India. degree in Applied Electronics from Bharathiyar University, Tamil Nadu, India, in 2000, and PhD degree in Information and Communication Engineering from Anna University, Tamil Nadu, India in 2009. degree in Electronics and Communication Engineering from Bharathiyar University, Tamil Nadu, India, in 1989, M.E.

Her research interests include machine learning algorithms, optimization of digital circuits and signal processing.

Presently, she is working as Assistant Professor in the Department of Electronics and Communication Engineering at Bannari Amman Institute of Technology, Tamil Nadu, India. degree in VLSI Design from Avinashilingam University, Tamil Nadu, India, in 2015, and is currently pursuing PhD degree in Information and Communication Engineering from Anna University, Tamil Nadu, India. degree in Electronics and Communication Engineering from Avinashilingam University, Tamil Nadu, India, in 2013, M.E. The simulations are carried out with MIT-BIH Arrhythmia using simulation tools, such as MATLAB 2013b, ModelSim 10.0b, and Cadence Virtuoso under 90 nm on over 200 data sets.ĭ. Thereby area and power reduction of 86.3% and 91.1% is achieved. This technique provides sensitivity of 91.1% followed by performance validation of Error Detection and correction adders for different decoder architectures in transceiver. The major motive of this paper is to demarcate the fetal ECG signal from noise at early stages of transmission using Chambolle-Pock based hybridized classifiers. In addition to the accumulation of noises in the channel, the observation of fetal ECG signal, using diagnostic devices, also provides additive noise, thereby reducing the quality of the transmitted signal.

As the transmission takes place at high data rate, the complexity and throughput of the system, pertaining to the fetal ECG signal, is crucial. Medical data transmission is a major challenge in wireless communication to preserve their integrity and coherence.