Classification of ECG Signals Using Particle Swarm Optimization and Extreme Learning Machine
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 7
Abstract
The ECG is one of the mainly effective investigative tools to detect cardiac diseases. It is a technique to calculate and record dissimilar electrical potentials of the heart. The electrical potential generated by electrical action in cardiac tissue is calculated on the surface of the human body. Present flow, in the variety of ions, signals reduction of cardiac muscle fibers important to the heart's pumping action. This ECG can be classified as standard and abnormal signals. In this work, a systematic experimental study was conducted to demonstrate the advantage of the generalization capability of the Particle Swarm Optimization Extreme Learning Machine (PSO-ELM) compared with Extreme Learning Machine (ELM) approach in the automatic classification of ECG beats. The simplificationpresentation of the ELM classifier has not attained the nearest maximum accuracy of ECG signal classification. To attain the maximum accuracy the PSO-ELM classifier design by searching for the best value of the parameters that tune it’sdistinguish function, and upstream by looking for the best subset of features that feed the classifier. The experiments were conducted on the ECG data from the Massachusetts Institute of Technology–Beth Israel Hospital (MIT– BIH) arrhythmia database to categorize five kinds of abnormal waveforms and normal beats. In particular, the sensitivity of the PSO-ELM classifier is tested and that is compared with ELM. The attained results clearly confirm the superiority of the PSO-ELM approach when compared to ELM classifiers.
Authors and Affiliations
Dr. S. Karpagachelvi
Keywords
Related Articles
- EP ID EP143058
- DOI -
- Views 77
- Downloads 0
Flow and Heat Transfer in a Viscoelastic Fluid Due To a Stretching Surface – An Analytical Solution Using Ham
In this study, asteady three dimensionalviscoelastic fluid flow and heat transfer due to a stretching sheet with an applied magnetic field is considered for analysis. The fluid far away from the surface is ambient...
FOUR WHEEL STEERING SYSTEM
Four wheel drive steering system which is also known as Quadra steering system is convenient way to control the vehicle in high speed. Here both front wheel and rear wheel can be steered according to space availab...
Open and Almost Contra-Pre-Closed Mappings
The aim of this paper is to introduce and study the concepts of almost contra pre-closed mappings.
Realization of Change of Hysteresis and Eddy Current Losses, with Change of Electrical Parameters, by using Matlab and Simulink
Hysteresis and Eddy current losses are most common losses occurring in static and rotating electrical machines. These losses depend on different variable and constant parameters. In this article, we will discuss variat...
AN IMPROVED HYBRID BINARIZATION TECHNIQUE FOR DEGRADED DOCUMENT DIGITIZATION
In document analysis, binary image representation is essential format. In previous studies, different techniques are implemented and tried and true for different types of degradation in document image. But non...