Cardiac Abnormalities Detection from Compressed ECG

被引：0
|
作者：
Torres-Cisneros, M. [1 ,2 ]
Guzman-Cabrera, R. [1 ]
Villalobos, S. [3 ]
May-Arrioja, D. A. [2 ]
Martell, F. [2 ]
机构：
[1] Univ Guanajuato, Appl Phys & Adv Technol, Guanajuato, Mexico
[2] Ctr Invest Opt, Aguascalientes, Mexico
[3] Ctr Invest Opt, Guanajuato, Mexico
来源：
COMPUTACION Y SISTEMAS | 2019年 / 23卷 / 01期
关键词：
ECG automatic detection; QRS complex detection; RR segment;
D O I：
10.13053/CyS-23-1-3171
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the aim of automatic detection of cardiac anomalies, in particular arrhythmias, we propose and design two algorithms for arrhythmias detection based on the energy of the ECG signal. Our results have shown that it is possible to obtain a prediction error as small as 0.66% when we use the overlapped windows method. Our algorithms can obtain this error analyzing 30 min signal length just in 12 s of processing time. Our results are faster and competitive if we compare them with those in the literature.
引用
收藏
页码：95 / 100
页数：6
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