A New Fuzzy Based Ensemble Classifier for Analysis of ECG Signal
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
ECG(electrocardiogram) reflects the state of cardiac heart and hence is like a pointer to the health conditions of a human being. However, ecg being anon-stationary, continuous in nature and abruptly changing signal, the irregularities may not be periodic and may show up at different intervals. For taking intelligent health care decisions, ecg signal needs to be analyzed accurately. Clinical observation of ecg can take long hours and can be very tedious. Moreover, visual analysis cannot be relied upon.thus, our basic objective is to come up with an ensemble based classification technique that will classify ecg signal with the more accuracy. This objective has motivated us to search and experiment with various ecg signals by categorizing it in correct class and simultaneously achieving maximum accuracy of the ensemble classifier. This paper deals with the implementation of a fuzzy based ensemble classifier that performs the computations by using fuzzy inference system (fis) to classify the ecg and to achieve the maximum accuracy. Overall, we have tried to minimize the concept drift evolved in the ecg signal andmaximize the accuracy because the error rate introduced due to concept drift is inversely proportional to the accuracy of ensemble based classifier.the result shows that the ensemble classifier with the fuzzy based technique is more accurate up to 99% in classification of ecg signal.
Authors and Affiliations
Girish B Umaratkar, Sachin A Murab
Keywords
Related Articles
- EP ID EP23885
- DOI http://doi.org/10.22214/ijraset.2017.4179
- Views 284
- Downloads 9
An Intrusion Detection System for Identifying Attacks using Classification Technique
Information security is one of the important role to protect the information from unauthorized person. Intrusion detection is a classifier to classify the data as normal and various types of attacks. Data mining based d...
An Investigation of Heat Transfer in Vertical Shaft Kiln Process of Cement Manufacture: Part I - Convection
Packed bed heat transfer associated with the black meal vertical shaft kiln (VSK) process of cement manufacture was studied using varying feed sizes of the raw material and air flow rates using an experimental prototype...
DATMin-A Novel large Data mining Technique for Concept Evolution and Feature Evolution using Map Reduce Paradigm
The Distributed Large Scale data mining using map reduce paradigm is been carried out in large scale using classification and clustering algorithm as it is treated as computational intensive task. The Data Classificatio...
Effects of Process Parameters on the Microstructural Properties of MIG and FSW Joints
The present research work is undergone to investigate the effect of weld parameters on the microstructural behavior of metal inert gas welding (MIG) and friction stir welding (FSW) joints. The selection of process param...
Effect of 1-Methylcyclopropene on Scabiosa Caucasica
To find the effect of 1-Methylcyclopropene on scabiosa caucasica. Method- Similar quantity doses of methylcycopropene were sprayed on different plants on different time and frequency of same concentration. Results were...