ECG Segmentation Using Adaptive Hermite Functions

被引：0

作者：

Kovacs, Peter ^{[1
]}

Boeck, Carl ^{[2
]}

Meier, Jens ^{[3
]}

Huemer, Mario ^{[2
]}

机构：

[1] Eotvos L Univ, Dept Numer Anal, H-1117 Budapest, Hungary

[2] Johannes Kepler Univ Linz, Inst Signal Proc, Altenberger Str 69, A-4040 Linz, Austria

[3] Kepler Univ Hosp, Dept Anesthesiol & Crit Care Med, A-4020 Linz, Austria

来源：

2017 FIFTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS | 2017年

关键词：

Hermite functions; Optimization; ECG segmentation; ECG delineation; DATABASE; QT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electrical activity of the heart can be measured via electrodes placed on the human body resulting in the physiological signal called electrocardiogram (ECG). Each heartbeat contains elementary waves (P,QRS,T), which represent different phases of a cardiac cycle. The main characteristics of these waves such as amplitudes, durations or shapes are of great importance for medical experts. In this article, we develop an ECG delineation algorithm which extracts these features and additionally is able to track subtle variations of the elementary waves. To this end we propose an adaptive signal model based on Hermite functions, which is optimized for each heartbeat.

引用

页码：1476 / 1480

页数：5

共 14 条

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