The Role of Computer Modeling in Electrocardiography

1990 ◽  
Vol 29 (04) ◽  
pp. 282-288 ◽  
Author(s):  
A. van Oosterom
Keyword(s):  
Electrical Activity ◽  
Computer Modeling ◽  
Body Surface ◽  
Electrical Current ◽  
The Body ◽  
Volume Conductor ◽  
Current Generator ◽  
Cardiac Electrical Activity ◽  
Source Models

AbstractThis paper introduces some levels at which the computer has been incorporated in the research into the basis of electrocardiography. The emphasis lies on the modeling of the heart as an electrical current generator and of the properties of the body as a volume conductor, both playing a major role in the shaping of the electrocardiographic waveforms recorded at the body surface. It is claimed that the Forward-Problem of electrocardiography is no longer a problem. Several source models of cardiac electrical activity are considered, one of which can be directly interpreted in terms of the underlying electrophysiology (the depolarization sequence of the ventricles). The importance of using tailored rather than textbook geometry in inverse procedures is stressed.

Simulation of Body Surface Laplacian Maps during Ventricular Pacing in a 3D Inhomogeneous Heart-Torso Model

2000 ◽  
Vol 39 (02) ◽  
pp. 196-199 ◽  
Author(s):  
K. Ono ◽  
H. Hosaka ◽  
B. He ◽  
D. Wu
Keyword(s):  
Computer Simulation ◽  
Electrical Activity ◽  
Body Surface ◽  
The Body ◽  
Heart Model ◽  
Surface Laplacian ◽  
Cardiac Electrical Activity ◽  
Torso Model ◽  
Potential Map ◽  
Body Surface Potential

Abstract:A computer simulation study has been conducted to investigate the performance of body surface Laplacian maps (BSLMs) in localizing and imaging spatially separated myocardial electrical events. A cellular automaton model of ventricles simulates cardiac electrical activity using a two-site pacing protocol to induce dual simultaneously active myocardial electrical events. The heart model is embedded in a realistically shaped inhomogeneous volume conductor. The BSLMs are numerically computed from the induced electrical activity in the heart model. The present computer simulation results show that the BSLM can provide better separation and localization of two regional myocardial electrical events as compared with the body surface potential map (BSPM).

A Comparison of Body Surface Laplacian and Potential Maps During Paced Ventricular Activation

1997 ◽  
Vol 36 (04/05) ◽  
pp. 336-339 ◽  
Author(s):  
K. Ono ◽  
H. Hosaka ◽  
B. He
Keyword(s):  
Electrical Activity ◽  
Body Surface ◽  
The Body ◽  
Surface Laplacian ◽  
Cardiac Electrical Activity ◽  
Torso Model ◽  
Body Surface Potential Maps ◽  
Ventricular Activation ◽  
Body Surface Potential ◽  
Ventricular Activity

Abstract:The objective of this study is to evaluate the spatial resolution of body surface Laplacian maps (BSLMs) in localizing ventricular electrical activity by means of computer simulation. A 3-D computer heart-torso model was used to simulate cardiac electrical activity and the body surface maps. A two-site pacing protocol was used to generate two simultaneously activated myocardial events on the anterior epicardial wall and the anterior endocardial wall. Following the pacing, the BSLMs and the body surface potential maps (BSPMs) were calculated and compared with the known activation pattern. As a result, the BSLMs showed superior resolution than the BSPMs for localized initial ventricular activity. In summary, the present study suggests that body surface Laplacian mapping may provide a useful methodology for the clinical diagnosis of cardiac electrical abnormalities.

Body Surface Laplacian Mapping of Bioelectrical Activity

1997 ◽  
Vol 36 (04/05) ◽  
pp. 326-328 ◽  
Author(s):  
X. Yu ◽  
D. Wu ◽  
N. Mehdi ◽  
B. He
Keyword(s):  
Computer Simulations ◽  
Body Surface ◽  
Human Subjects ◽  
The Body ◽  
Bioelectrical Activity ◽  
Potential Measurement ◽  
Surface Laplacian ◽  
Cardiac Electrical Activity ◽  
Important Means ◽  
Bioelectrical Potential

Abstract:A method is described to process and interpret multi-channel bioelectrical signals. The bioelectrical signals were recorded noninvasively over the body surface of human subjects at 120 sites. The body surface Laplacian maps were then constructed from the multi-channel bioelectrical potential measurement. The method was evaluated by means of computer simulations, and applied to imaging cardiac electrical activity. The present investigation suggests body surface Laplacian mapping provides an important means in interpreting bioelectrical signals.

Possible role of a skin mucus lectin from fugu Takifugu rubripes in excluding marine bacteria from the body surface

2006 ◽  
Vol 72 (2) ◽  
pp. 455-457 ◽  
Author(s):  
Shigeyuki TSUTSUI ◽  
Hidenori NISHIKAWA ◽  
Nobuhiro MANO ◽  
Hitomi HIROSE ◽  
Satoshi TASUMI ◽  
...  
Keyword(s):  
Body Surface ◽  
Marine Bacteria ◽  
The Body ◽  
Takifugu Rubripes ◽  
Skin Mucus

A new method to determine the electrical transfer function of the human thorax

2007 ◽  
Vol 293 (6) ◽  
pp. H3440-H3447 ◽  
Author(s):  
Jeffrey J. Goldberger ◽  
Haris Subacius ◽  
Indranil Sen-Gupta ◽  
David Johnson ◽  
Alan H. Kadish ◽  
...  
Keyword(s):  
Electrical Activity ◽  
Transfer Functions ◽  
Phase Transfer ◽  
Electrophysiological Study ◽  
Linear Regression Analysis ◽  
The Body ◽  
Cardiac Electrical Activity ◽  
Intracardiac Electrogram ◽  
Body Tissues ◽  
Surface Ecg

Traditional analyses have assumed that cardiac electrical activity is reflected on the surface ECG without distortion as the signal passes through the body tissues. This study aims to explore the frequency dependence of thoracic attenuation of surface-recorded intracardiac electrical activity. Twenty patients (14 men, 55 ± 15 yr of age) undergoing electrophysiological study were enrolled. Rectangular unipolar stimuli were applied from a catheter positioned in the right ventricular apical area and another in the posteroseptal area without contact with the myocardium. An orthogonal Frank-lead surface ECG and a unipolar intracardiac electrogram near the pacing site were recorded. Frequency domain characteristics of the signal-averaged pacing impulses were analyzed. Linear regression analysis showed significant frequency-dependent attenuation in the magnitude transfer functions ( R2 = 0.84–0.89, P < 0.0001) and good linear fit for the phase transfer characteristics ( R2 = 0.98–1.0, P < 0.0001). Age, physical dimension, and respiratory characteristics had significant effects on the magnitude and phase characteristics of the transfer functions. Application of models of the low- and high-slope transfer functions to signal-averaged ECGs from 33 subjects showed differences in the attenuation of P and T waves relative to the QRS.

Sign in / Sign up

Export Citation Format

Share Document