Multichannel recording of human gastric electrical activity from the body surface

1976 ◽  
Vol 81 (4) ◽  
pp. 636-638 ◽  
Author(s):  
M. A. Sobakin ◽  
I. A. Privalov
Keyword(s):  
Electrical Activity ◽  
Body Surface ◽  
The Body ◽  
Gastric Electrical Activity ◽  
Multichannel Recording

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).

scholarly journals Electrogastrography: A Noninvasive Technique to Evaluate Gastric Electrical Activity

1998 ◽  
Vol 12 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Claudia P Sanmiguel ◽  
Martin P Mintchev ◽  
Kenneth L Bowes
Keyword(s):  
Electrical Activity ◽  
Visual Analysis ◽  
External Noise ◽  
The Body ◽  
Clinical Value ◽  
Gastric Electrical Activity ◽  
Noninvasive Technique ◽  
Essential Components ◽  
Close Relationship ◽  
Gastric Contractions

Electrogastrography (EGG) is the recording of gastric electrical activity (GEA) from the body surface. The cutaneous signal is low in amplitude and consequently must be amplified considerably. The resultant signal is heavily contaminated with noise, and visual analysis alone of an EGG signal is inadequate. Consequently, EGG recordings require special methodology for acquisition, processing and analysis. Essential components of this methodology involve an adequate system of digital filtering, amplification and analysis, along with minimization of the sources of external noise (random motions of the patient, electrode-skin interface impedance, electrode bending, obesity, etc) and a quantitative interpretation of the recordings. There is a close relationship between GEA and gastric motility. Although it has been demonstrated that EGG satisfactorily reflects internal GEA frequency, there is not acceptable correlation with gastric contractions or gastric emptying. Many attempts have been made to relate EGG 'abnormalities' with clinical syndromes and diseases; however, the diagnostic and clinical value of EGG is still very much in question.

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.

Gastric electrical activity in normal neonates during the first year of life. Effect of lactation with breast milk and formula

2001 ◽  
Vol 120 (5) ◽  
pp. A209-A209
Author(s):  
G RIEZZO ◽  
R CASTELLANA ◽  
T DEBELLIS ◽  
F LAFORGIA ◽  
F INDRIO ◽  
...  
Keyword(s):  
Breast Milk ◽  
Electrical Activity ◽  
First Year ◽  
Gastric Electrical Activity ◽  
First Year Of Life ◽  
Normal Neonates

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

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