K. M. Mandana

TL;DR: This work has analyzed five types of beats and obtained highest average accuracy, average sensitivity and specificity of 99.27% and 98.31% respectively using LS-SVM with Radial Basis Function (RBF) kernel and is clinically ready to run on large amount of data sets.

TL;DR: Five types of beats are automatically classified using HOS features (higher order cumulants) using two different approaches to detect cardiac abnormalities in ECG recordings and the developed system is ready clinically to run on large datasets.

TL;DR: The objective of this paper is to describe developing of a screening expert system that will help to detect CAD at an early stage and the proposed methodology is developed to assist the medical practitioners in predicting the patient's risk status of CAD from rules provided by medical experts.

TL;DR: A novel methodology has been proposed for speckle noise reduction of intravascular ultrasound (IVUS) by applying non local means filter in wavelet domain to smooth out noise interferences to improve the visual characteristics of IVUS insight.

TL;DR: An investigatory report based on a nationwide survey conducted on the practice of cardiac auscultation for determination of its effectiveness in diagnosis is presented and the inter-relationship between heart sound and other advance medical imaging modalities is investigated.