Author

R. B. Pachori

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#edge computing Oct 2026

FPGA-Based Edge Enabled Time-Frequency Domain Lightweight Deep Neural Network for Identification of Valvular Heart Diseases Using PCG Signals

Early and automated identification of valvular heart diseases (VHDs) using phonocardiogram (PCG) signals provides a cost-effective solution for developing intelligent healthcare applications. In this letter, a lightweight deep convolutional neural network, LWHSNet, implemented on a field programmable gate array (FPGA)-...

R. Tripathy, S. Sahoo, R. B. Pachori · IEEE Sensors Letters · 0 citations

Conference Jul 2026

IF-EWT-Based Framework for Classification of Motor Imagery EEG Signals

In this paper, we present a new framework for motor imagery (MI) classification in brain-computer interface (BCI) systems using electroencephalogram (EEG) signals. The proposed framework employs the iterative filtering-based empirical wavelet transform (IF-EWT) signal decomposition method to decompose EEG signals into...

R. B. Pachori, Krishnakant Sharma · International Conference on... · 0 citations