A Low Cost and Portable Electrocardiogram (ECG) for Predicting Arrhythmia

被引：0
|
作者：
Kavitha, B. C. [1 ]
Pradeep, Mandalapu Durga [1 ]
Sasidhar, Kopparapu [1 ]
Aditya, Chitta [1 ]
Sankaran, K. Sakthidasan [1 ]
Kiruthika, V [1 ]
机构：
[1] Hindustan Inst Technol & Sci, Dept ECE, Chennai, Tamil Nadu, India
来源：
2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021) | 2021年
关键词：
ECG; Arrhythmia; Heart rate sensor; Feature extraction; Analysis;
D O I：
10.1109/ComPE53109.2021.9751727
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Electrocardiogram (ECG) refers to the test performed on the heart with a view to detect abnormalities in the cardiovascular system if any. The careful analysis of the components of ECG enables the medical experts to detect the minor abnormalities of the heart and suggest effective treatment. This paper proposes an effective method of analyzing the ECG to detect the various abnormalities. After the collection and analysis of the ECG signal, behavioral and dynamic features can be obtained from the signal followed by two methods of classification by factor and feature testing. The proposed work for this paper has been implemented using MATLAB. The proposed methodology proved effective in analyzing and classifying the ECG signals with 97% accuracy.
引用
收藏
页码：213 / 218
页数：6
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