My Account | Careers | Downloads | Blog

PROJECT TITLE :

Bayesian Network with Decision Threshold for Heart Beat Classification

ABSTRACT:

This work proposes a Dynamic Bayesian Network approach (BN) to support medical call making in the matter of beat classification in electrocardiograms. The BN takes the uncertainty into consideration when making a call each time new proof is available. Moreover, the understanding connected to the beat classification can be controlled through a threshold adjusted by the specialist. The performance of the BN primarily based classifier is assessed through the MIT-BIH database, considering two beat classes: Premature Ventricular Beat (PVC category) and Different (gathering all different beat categories). The BN with chance threshold of zero.seventy five achieved ample Sensitivity and Positive Predictive of 99% for the PVC beats. The results show that the BN framework could be a promising tool for classifying cardiac arrhythmias.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Predicting Hot Events in the Early Period through Bayesian Model for Social Networks ABSTRACT: It is essential for a wide variety of applications, such as information dissemination mining, ad recommendation, and
PROJECT TITLE : Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering ABSTRACT: Matrix decomposition is one of the essential tools that must be utilized in order to extract useful information from the
PROJECT TITLE : Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging ABSTRACT: Electromagnetic brain imaging uses non-invasive recordings of magnetic fields and electric potentials
PROJECT TITLE : Variational Bayesian Blind Color Deconvolution of Histopathological Images ABSTRACT: In most whole-slide histology images, two or more chemical dyes are used. In digital pathology, slide stain separation or colour
PROJECT TITLE : Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation ABSTRACT: Quantitative cell biology relies heavily on being able to identify different cell compartments, cell types, and the ways

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry