scholarly journals OPTIMIZATION OF RABBIT VENTRICULAR ELECTROPHYSIOLOGICAL MODEL AND SIMULATION OF SYNTHETIC ELECTROCARDIOGRAM

Author(s):  
HONGLEI ZHU ◽  
LIAN JIN ◽  
JIAYU ZHANG ◽  
XIAOMEI WU

This study aimed to use computer simulation method to study the mechanism of cardiac electrical activities. We optimized an electrophysiological rabbit ventricular model, including myocardial segmentation, heterogeneity and a realistic His-Purkinje network. Simulations of normal state, several types of ventricular premature contractions (VPC), conduction system pacing and right ventricular apical pacing were performed and the detailed cardiac electrical activities were studied from cell level to electrocardiogram (ECG) level. A detailed multiscale optimized ventricular model was obtained. The model effectively simulated various types of electrical activities. The synthetic ECG results were very similar to the real clinical ECG. The duration of QRS of typical VPC is 58[Formula: see text]ms, 71% longer than that of a normal-state synthetic QRS and the amplitude of the QRS is 35% larger, while the QRS duration and amplitude of the real clinical ECG of typical VPC are 69% longer and 36% larger than those of the real normal QRS. The duration of QRS of ventricular fusion beat is 31[Formula: see text]ms, 91% of that of a normal-state synthetic QRS and the amplitude of the QRS is 36% larger, while the QRS duration of the real clinical ECG of a ventricular fusion beat is 92% of the real normal QRS and the amplitude is 37% larger. Therefore, the results indicate that this model is effective and reliable in studying the detailed process of cardiac excitation and pacing.

2021 ◽  
Vol 11 (1) ◽  
pp. 449
Author(s):  
Honglei Zhu ◽  
Lian Jin ◽  
Yanqi Huang ◽  
Xiaomei Wu

This manuscript adopted the cardiac modeling and simulation method to study the problems of physiological pacing in clinical application. A multiscale rabbit ventricular electrophysiological model was constructed. We simulated His-bundle pacing (HBP) treatment for left bundle branch block (LBBB) and atrioventricular block (AVB), and left bundle branch pacing (LBBP) treatment for LBBB by setting various moments of the stimulus. The synthetic ECGs and detailed electrical activities were analyzed. Our electrophysiological model accurately simulated the normal state, HBP, and LBBP. The synthetic ECG showed that QRS duration was narrowed by 30% after HBP correction for LBBB. For LBBB correction with LBBP, the synthetic ECGs of LBBP starting before 30 ms (if the end of atrial excitation is set as 0 ms) presented right bundle branch block (RBBB), and those of LBBP starting at 30–38 ms were synchronous, while those of LBBP starting after 42 ms possessed LBBB morphologies. The best pacing results were obtained when LBBP started at 34 ms. This manuscript verified the feasibility of the constructed ventricular model, and studied the physiological pacing mechanism. The results showed that HBP realized correction for AVB and high LBBB. The performance of LBBP can be improved by applying the stimulus within a specific period of time (0–8 ms) after atrial excitation.


Author(s):  
Karli Gillette ◽  
Matthias A. F. Gsell ◽  
Julien Bouyssier ◽  
Anton J. Prassl ◽  
Aurel Neic ◽  
...  

AbstractPersonalized models of cardiac electrophysiology (EP) that match clinical observation with high fidelity, referred to as cardiac digital twins (CDTs), show promise as a tool for tailoring cardiac precision therapies. Building CDTs of cardiac EP relies on the ability of models to replicate the ventricular activation sequence under a broad range of conditions. Of pivotal importance is the His–Purkinje system (HPS) within the ventricles. Workflows for the generation and incorporation of HPS models are needed for use in cardiac digital twinning pipelines that aim to minimize the misfit between model predictions and clinical data such as the 12 lead electrocardiogram (ECG). We thus develop an automated two stage approach for HPS personalization. A fascicular-based model is first introduced that modulates the endocardial Purkinje network. Only emergent features of sites of earliest activation within the ventricular myocardium and a fast-conducting sub-endocardial layer are accounted for. It is then replaced by a topologically realistic Purkinje-based representation of the HPS. Feasibility of the approach is demonstrated. Equivalence between both HPS model representations is investigated by comparing activation patterns and 12 lead ECGs under both sinus rhythm and right-ventricular apical pacing. Predominant ECG morphology is preserved by both HPS models under sinus conditions, but elucidates differences during pacing.


2015 ◽  
Vol 31 (7) ◽  
pp. 1131-1139 ◽  
Author(s):  
Seung-Ah Lee ◽  
Myung-Jin Cha ◽  
Youngjin Cho ◽  
Il-Young Oh ◽  
Eue-Keun Choi ◽  
...  

Author(s):  
Seung-Jae Kim ◽  
Ho-Wan Ryu ◽  
Jin Weon Kim ◽  
Young-Jin Oh ◽  
Yun-Jae Kim

Abstract This paper examines the effect of complex crack geometry on the J-resistance curves obtained by strain-based ductile tearing simulation of complex cracked tension (CC(T)) specimens. The damage model is determined by analyzing the results of a smooth bar tensile test and a C(T) specimen toughness test on an SA508 Gr.1a low-alloy steel at 316 ?. The validity of the damage model and simulation method is checked by comparing the fracture test data for two CC(T) specimen tests. To investigate the effect of the complex crack geometry on the crack growth profiles and J-resistance curves, two geometric parameters (namely, the through-wall crack length and the surface crack depth) are systematically varied. It is found that the J-resistance curves for the CC(T) specimens with various through-wall crack lengths and surface crack depths are consistently lower than the corresponding 1T C(T) J-resistance curves. The effect of the through-wall crack length upon the J-resistance curve is found to be less significant than that of the surface crack depth. Moreover, the J-resistance curve decreases continuously with increasing surface crack depth.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Aliasghar Chalmeh ◽  
Iman Saadat Akhtar ◽  
Mohamad Hadi Zarei ◽  
Mehrdad Badkoubeh

Information regarding normal electrocardiographic features of different breeds of animals can help veterinarians to detect any abnormalities in cardiac electrical activities. The current research was conducted to present the normal electrocardiographic indices of clinically healthy Chios ewes and lambs. The electrocardiograms were recorded from clinically healthy Chios ewes (n=27; 2-3 years old) and lambs (n=20; 4-6 months old) by using base apex lead system. T and QRS-duration in lambs were significantly lower than adult Chios ewes. The electrocardiographic amplitudes in lambs were lower than ewes, non-significantly. P-R, R-R, Q-T and S-T intervals in Chios lambs were significantly lower than ewes. No normal sinus rhythm was detected in Chios lambs. The proportion of sinus arrhythmia and sinus tachycardia in lambs was significantly more than ewes. Sino-atrial block was also detected in lambs. Based on the presented data it could be stated that aging can affect electrocardiographic findings of Chios sheep. Finally, our results will provide a good basis for judging the electrocardiograms in base apex lead system of Chios lambs and ewes.


2013 ◽  
Vol 300-301 ◽  
pp. 68-72
Author(s):  
Cong Wu Huang ◽  
Shao Chang Chen

There are many nonlinear switch loads in a marine power system. In order to anlysize the influnce of nonlinear switch load on the operation parameters of a marine power system accurately , a simulation of a synchronous machine with the rectifier load in three phase coordinate systme is studied. The simulation results are completely consistent with the real physcial process, which proves the validity and accuracy of the simulation method.


2013 ◽  
Vol 380-384 ◽  
pp. 1746-1749
Author(s):  
Jun Zhan ◽  
Jiang Li Lu ◽  
Liang Xu ◽  
Wei Zhang

At present, the performance of the vehicle dynamics model is mainly evaluated objectively through offline simulation. In this paper, a vehicle dynamics model was implemented in dSPACE, which was applied to the Automotive Performance Simulator and the preliminary study was made for the realization of the subjective evaluation of the performance of vehicle dynamics model through the real-time closed-loop online simulation. The dSPACE interface library was used to write a Clib program to operate and control the Carsim RT model running on the dSPACE platform, which realized the communication between the external hardware and the real-time hardware of dSPACE.


Author(s):  
Anchana Muankid ◽  
Mahasak Ketcham

The Cardiovascular disease (CVD) is the most of death in the world. Electrocardiogram (ECG) is the graph that shows heart electrical activities. The physician record and detect the abnormal Electrocardiogram (ECG) signal by the Holter monitor that patient need to carry on the device for record ECG signal in 24 hours. Pan-Tomkins algorithm was appropriate for Real-time ECG signal recognition because high accuracy and rapidly analysis. This research propose the Real-time ECG Signal monitoring system for detect the abnormal ECG signal by using Pan-Tomkins algorithm with Wireless Sensor Network. The system separated into 2 part; sender module and receiver module. Experimental the system by using the ECG signal data from MIT-BIH database. Selected 20 samples of abnormal ECG signal then experimental at 10 and 20 meters sender module-receiver module distance, calculate R-R interval and R amplitude threshold The results show that the Real-time ECG signal monitoring system detect 17 abnormal ECG signal, the accuracy is 85%. This systems efficient for detect the abnormal of ECG signal in real-time.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1929 ◽  
Author(s):  
Xin Li ◽  
Xiaowen Tao ◽  
Bing Zhu ◽  
Weiwen Deng

This study addresses the virtual testing of intelligent driving, examines the key problems in modeling and simulating millimeter wave radar environmental clutter, and proposes a modeling and simulation method for the environmental clutter of millimeter wave radar in intelligent driving. First, based on the attributes of intelligent vehicle millimeter wave radar, the classification characteristics of the traffic environment of an intelligent vehicle and the generation mechanism of radar environmental clutter are analyzed. Next, the statistical distribution characteristics of the clutter amplitude, the distribution characteristics of the power spectrum, and the electromagnetic dielectric characteristics are analyzed. The simulation method of radar clutter under environmental conditions such as road surface, rainfall, snowfall, and fog are deduced and designed. Finally, experimental comparison results are utilized to validate the model and simulation method.


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