Multiscale Analysing Methods in Electrocardiogram Signal Processing and Interpretation

被引:3
作者
German-Sallo, Zoltan [1 ]
German-Sallo, Marta [2 ]
机构
[1] Petru Maior Univ, Str Nicolae Iorga 1, Targu Mures, Romania
[2] Univ Med & Pharm, Str Gheorghe Marinescu 38, Targu Mures, Romania
来源
10TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2016 | 2017年 / 181卷
关键词
Multiscale analysis; wavelet transform; periodogram; scalogram; ECG;
D O I
10.1016/j.proeng.2017.02.437
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Multiscale analysis is a fundamental theoretical approach in several engineering disciplines including signal and image processing and interpretation. This paper presents briefly the use of multiresolution and multiscale analysis as wavelet transform and spectral analysis in detecting and interpreting specific features of electrocardiogram (ECG) signals. The continuous wavelet transform based scalogram and the power spectral density based periodogram are presented as valuable tools in arrhythmia detection and interpretation. Specific signals from dedicated databases are used; the computational tasks are performed in Matlab environment using suitable toolboxes. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommonsorg/licenses/by-nc-nd/4.0/).
引用
收藏
页码:583 / 587
页数:5
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