Statistical Analysis of ECG signals for Arrhythmia Detection

被引：0

作者：

Nayak, G. S. ^{[1
]}

Puttamadappa, C. ^{[2
]}

Kamatha, A. Surekha ^{[3
]}

机构：

[1] Manipal Univ, Manipal Inst Technol E&C Engn, Manipal, Karnataka, India

[2] New Horizon Coll Engn, E&C Engn, Bangalore 560087, Karnataka, India

[3] Manipal Univ, Manipal Inst Technol, ICE Engn, Manipal, Karnataka, India

来源：

4TH KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2008, VOLS 1 AND 2 | 2008年 / 21卷 / 1-2期

关键词：

Electrocardiogram; Linear Prediction Coefficients;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Electrocardiogram is one important physiological signal, which is used in assessing cardiac health. The extraction of features used for identification of the state of ECG is discussed in this paper. Using MAT LAB programs/tools, different statistical features are extracted from both normal and arrhythmia spectra. These features include differentiation and count of spikes for different thresholds, mean, standard deviation, energy, residuals on curve fitting, LPC coefficients etc. The values of the feature vector reveal information regarding cardiac health state. These parameters have been analyzed for discrimination between normal and arrhythmia conditions. For analysis a specific data set has been considered.

引用

页码：251 / +

页数：2

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