Statistical method for ECG analysis and diagnostic

被引：0
|
作者：
Chaouch H. [1 ]
Ouni K. [1 ]
Nabli L. [1 ]
机构：
[1] National School of Engineers of Monastir, Ibn Aljazzar City, Monastir
来源：
Chaouch, Hanen (hanenchaouch8@gmail.com) | 2018年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 26期
关键词：
Arrhythmia; ECG diagnostic; Fault detection; Fault isolation; Mutiscaled PCA;
D O I：
10.1504/IJBET.2018.089244
中图分类号：
学科分类号：
摘要：
In this paper, a statistical method of ECG analysis and diagnostic is proposed. This method is based on three parts: data simplification using multiscaled PCA, faults detection and localisation by introducing classic linear PCA. The studied data is presented as a multivariate matrix. The variables of this matrix are extracted from the ECG waves characteristics: waves amplitudes and segments measurements. The developed approach allows detecting arrhythmias and heart beat troubles. Comparing the results obtained by this approach and the data of the expert, we approve the performance of our study. Copyright © 2018 Inderscience Enterprises Ltd.
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页码：1 / 12
页数：11
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