PERFORMANCE ANALYSIS OF SOFT COMPUTING TECHNIQUES FOR CLASSIFYING CARDIAC ARRHYTHMIA
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 6
Abstract
Cardiovascular diseases kill more people than other diseases. Arrhythmia is a common term used for cardiac rhythm deviating from normal sinus rhythm. Many heart diseases are detected through electrocardiograms (ECG) analysis. Manual analysis of ECG is time consuming and error prone. Thus, an automated system for detecting arrhythmia in ECG signals gains importance. Features are extracted from time series ECG data with Discrete Cosine Transform (DCT) computing the distance between RR waves. The feature is the beat’s extracted RR interval. Frequency domain extracted features are classified using Classification and Regression Tree (CART), Radial Basis Function (RBF), Support Vector Machine (SVM) and Multilayer Perceptron Neural Network (MLP-NN). Experiments were conducted on the MIT-BIH arrhythmia database.
Authors and Affiliations
R GANESH KUMAR , Dr. Y S KUMARASWAMY
Keywords
Related Articles
- EP ID EP120832
- DOI -
- Views 137
- Downloads 0
ADAPTING RULE BASED MACHINE TRANSLATION FROM ENGLISH TO BANGLA
This paper presents the adapting rule based machine translation from English to Bangla. The proposed language translation model relies on rule based methodologies especially fuzzy rules. There are “If - Then” basis rules...
Coarse-Grained ParallelGeneticAlgorithm to solve the Shortest Path Routing problem using Genetic operators
In computer networks the routing is based on shortest path routing algorithms. Based on its advantages, an alternative method is used known as Genetic Algorithm based routing algorithm, which is highly scalable and insen...
Dividend key share for protected information transmit using Watermarking in images and Audio
The art and science of hiding information by encrypting messages within other, looks a harmless message. The proposed steganography system, where edges in the spread picture have been utilized to insert messages and anot...
OBJECT BASED SEGMENTATION TECHNIQUES FOR CLASSIFICATION OF SATELLITE IMAGE
Automatic feature extraction of features such as building, roads, vegetation etc., which also includes collapsed, height-changed and removed buildings, require the use of high resolution images. This research is helpful...
ACHIEVING MULTI-DOCUMENT SUMMARIZATION BASED ON MULTIPLE-RANKING METHODOLOGY WITH THE HELP OF NEAREST NEIGHBORS IN CLUSTERS
The goal of multi-document summarization is to give a prejudiced summary on a particular topic. This paper describes how to perform summarization task by means of multiple-ranking of sentences from various documents. Our...