期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN:2320-9798
电子版ISSN:2320-9801
出版年度:2019
卷号:7
期号:6
页码:3317-3323
DOI:10.15680/IJIRCCE.2019. 0706010
出版社:S&S Publications
摘要:Arrhythmia is a condition in which the human heart beats with an irregular or abnormal rhythm which
may be immediately fatal or cause irreparable damage to the heart. This type of a fatal abnormality would require a
model which gives high accuracy and takes short periods of time for classification.
In this project, a high dimensional clinical dataset consisting of Electrocardio (ECG) results of patients is used by
individual classifiers like Multi-Layer-Perceptron(MLP), Support Vector Machine (SVM) and Naïve bayes to classify
them into different types of Arrhythmia.