Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography

被引：10

作者：

Bear, Laura R. ^{[1
]}

Dogrusoz, Y. Serinagaoglu ^{[2
]}

Svehlikova, J. ^{[3
]}

Coll-Font, J. ^{[4
]}

Good, W. ^{[5
,6
]}

van Dam, E. ^{[7
]}

Macleod, R. ^{[5
,6
]}

Abell, E. ^{[1
]}

Walton, R. ^{[1
]}

Coronel, R. ^{[1
,8
]}

Haissaguerre, Michel ^{[1
]}

Dubois, R. ^{[1
]}

机构：

[1] Univ Bordeaux, IHU LIRYC, Bordeaux, France

[2] Middle East Tech Univ, Elect & Elect Engn Dept, Ankara, Turkey

[3] Slovak Acad Sci, Inst Measurement Sci, Bratislava, Slovakia

[4] Boston Childrens Hosp, Computat Radiol Dept, Boston, MA USA

[5] Univ Utah, Dept Bioengn, Salt Lake City, UT 84112 USA

[6] Univ Utah, SCI Inst, Salt Lake City, UT USA

[7] Peacs BV, Nieuwerbrug Aan Den Rijn, Netherlands

[8] Acad Med Ctr, Dept Exp Cardiol, Amsterdam, Netherlands

来源：

2018 COMPUTING IN CARDIOLOGY CONFERENCE (CINC) | 2018年 / 45卷

基金：

欧洲研究理事会;

关键词：

D O I：

10.22489/CinC.2018.070

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The inverse problem of electrocardiography is ill-posed. Errors in the model such as signal noise can impact the accuracy of reconstructed cardiac electrical activity. It is currently not known how sensitive the inverse problem is to signal processing techniques. To evaluate this, experimental data from a Langendorff-perfused pig heart (n=1) suspended in a human-shaped torso-tank was used. Different signal processing methods were applied to torso potentials recorded from 128 electrodes embedded in the tank surface. Processing methods were divided into three categories i) high-frequency noise removal ii) baseline drift removal and iii) signal averaging, culminating in n=72 different signal sets. For each signal set, the inverse problem was solved and reconsfructed signals were compared to those directly recorded by the sock around the heart. ECG signal processing methods had a dramatic effect on reconstruction accuracy. In particular, removal of baseline drift significantly impacts the magnitude of reconsfructed electrograms, while the presence of high-frequency noise impacts the activation time derived from these signals (p< 0. 05).

引用

页数：4

共 8 条

[1] How Accurate Is Inverse Electrocardiographic Mapping? A Systematic In Vivo Evaluation [J].