Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745452
M.A. Mneimneh, R. Povinelli
Due to the lack between clinical methods and applications used to diagnose ischemic heart disease, the 2007 Physionet/Computers in Cardiology challenge focuses on the ability to identify the segments, extent, and centroid of infarcts through ECG signals and body surface maps. The results from the participants are compared to a gold standard that consists of expert analysis of gadolinium-enhanced MRI data. The main hypothesis in this work is that the ordinary 12 ordinary leads contain the necessary information to identify the segment of the infarct. This hypothesis is tested using a reconstructed phase space and Gaussian Mixture Model approach in order to identify the infarcted segments. Since the challenge dataset consists of only two records for training and two for testing, the RPS/GMM approach is trained on the infarcted records from the PTB Diagnostics database and tested on the challenge data. The final score for the classification method was 1.15 out of maximum of 2.
由于缺乏用于诊断缺血性心脏病的临床方法和应用，2007年Physionet/Computers in Cardiology挑战赛侧重于通过ECG信号和体表图识别梗死段、范围和质心的能力。参与者的结果与金标准进行比较，金标准由专家分析钆增强MRI数据组成。这项工作的主要假设是，普通的12个普通导联包含必要的信息，以确定梗塞的部分。为了识别梗死段，使用重构相空间和高斯混合模型方法对这一假设进行了检验。由于挑战数据集仅由两条用于训练的记录和两条用于测试的记录组成，RPS/GMM方法在PTB诊断数据库中的梗死记录上进行训练，并在挑战数据上进行测试。该分类方法的最终得分为1.15分，满分为2分。
{"title":"RPS/GMM Approach toward the localization of myocardial infarction","authors":"M.A. Mneimneh, R. Povinelli","doi":"10.1109/CIC.2007.4745452","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745452","url":null,"abstract":"Due to the lack between clinical methods and applications used to diagnose ischemic heart disease, the 2007 Physionet/Computers in Cardiology challenge focuses on the ability to identify the segments, extent, and centroid of infarcts through ECG signals and body surface maps. The results from the participants are compared to a gold standard that consists of expert analysis of gadolinium-enhanced MRI data. The main hypothesis in this work is that the ordinary 12 ordinary leads contain the necessary information to identify the segment of the infarct. This hypothesis is tested using a reconstructed phase space and Gaussian Mixture Model approach in order to identify the infarcted segments. Since the challenge dataset consists of only two records for training and two for testing, the RPS/GMM approach is trained on the infarcted records from the PTB Diagnostics database and tested on the challenge data. The final score for the classification method was 1.15 out of maximum of 2.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745446
E. Delgado, J.L. Rodriguez, Favio Jiménez, D. Cuesta, G. Castellanos
The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A heartbeat clustering method can be used to reduce the usually high computational cost of such Holter analysis. This study describes a method aimed at cardiac arrhythmia recognition based on this approach, by means of unsupervised inspection of morphologically similar heartbeat groups. Singular Value Decomposition (SVD) is used as the feature selection method since the complexity increases exponentially with the number of features. A modification of the k-means algorithm was developed for centroid computation, taking into account heartbeat length changes. Experimental set consisted of ECG records from the MIT database. The method yielded a 99.9% clustering accuracy considering pathological versus normal heartbeats. Both clustering error and critical error percentage was 0.01%.
{"title":"Recognition of cardiac arrhythmias by means of beat clustering on ECG-holter records","authors":"E. Delgado, J.L. Rodriguez, Favio Jiménez, D. Cuesta, G. Castellanos","doi":"10.1109/CIC.2007.4745446","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745446","url":null,"abstract":"The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A heartbeat clustering method can be used to reduce the usually high computational cost of such Holter analysis. This study describes a method aimed at cardiac arrhythmia recognition based on this approach, by means of unsupervised inspection of morphologically similar heartbeat groups. Singular Value Decomposition (SVD) is used as the feature selection method since the complexity increases exponentially with the number of features. A modification of the k-means algorithm was developed for centroid computation, taking into account heartbeat length changes. Experimental set consisted of ECG records from the MIT database. The method yielded a 99.9% clustering accuracy considering pathological versus normal heartbeats. Both clustering error and critical error percentage was 0.01%.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128862684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745459
F. O. Favretto, C. Farias, L. Murta
This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.
{"title":"A decision support system for ischemic event detection","authors":"F. O. Favretto, C. Farias, L. Murta","doi":"10.1109/CIC.2007.4745459","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745459","url":null,"abstract":"This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745524
P. Domitrovich
A truly windows-based graphical user interface (GUI) for heart rate variability (HRV) is an easy-to-use, educational, and valuable research tool. The development of such a GUI is not a trivial endeavor. The document-view architecture of the Microsoft Visual Studio (MSVS), which is based upon the Microsoft Foundation Classes (MFC) written in C++, is utilized. A dynamic splitter-window is included to provide 4 simultaneous views. The GUI allows 720 various segment lengths. A total 270 different 4-paned views are possible, and 59 adjustable parameters are available. One view contains an interactively editable heart-rate-arousal and duration detector. The Lomb periodogram, the fast-Fourier transform (FFT), Poincarepsila plots, HRV in text format, phase-plane plots, multi-line heart-rate tachograms, and 2-minute-averaged Lomb and FFT power spectral amplitude plots are available.
一个真正基于windows的用于心率变异性(HRV)的图形用户界面(GUI)是一个易于使用、具有教育意义和有价值的研究工具。开发这样一个GUI并不是一项微不足道的工作。本文利用了Microsoft Visual Studio (MSVS)的文档视图架构，该架构基于用c++编写的Microsoft Foundation Classes (MFC)。包括一个动态拆分器窗口，以提供4个同时视图。GUI允许720种不同的段长度。总共270个不同的4窗格视图是可能的，59个可调参数可用。其中一个视图包含一个交互式可编辑的心率唤醒和持续时间检测器。Lomb周期图，快速傅里叶变换(FFT)， Poincarepsila图，文本格式的HRV，相平面图，多线心率速度图，以及2分钟平均Lomb和FFT功率谱幅度图。
{"title":"A graphical user interface for the study of heart rate variability","authors":"P. Domitrovich","doi":"10.1109/CIC.2007.4745524","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745524","url":null,"abstract":"A truly windows-based graphical user interface (GUI) for heart rate variability (HRV) is an easy-to-use, educational, and valuable research tool. The development of such a GUI is not a trivial endeavor. The document-view architecture of the Microsoft Visual Studio (MSVS), which is based upon the Microsoft Foundation Classes (MFC) written in C++, is utilized. A dynamic splitter-window is included to provide 4 simultaneous views. The GUI allows 720 various segment lengths. A total 270 different 4-paned views are possible, and 59 adjustable parameters are available. One view contains an interactively editable heart-rate-arousal and duration detector. The Lomb periodogram, the fast-Fourier transform (FFT), Poincarepsila plots, HRV in text format, phase-plane plots, multi-line heart-rate tachograms, and 2-minute-averaged Lomb and FFT power spectral amplitude plots are available.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134495389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745517
B. Lindseth, P. Schwindt, J. Kitching, D. Fischer, V. Shusterman
The development of clinical applications of magnetocardiography has been impeded by the large size of the systems used to measure magnetic fields. Here we present the first measurements of the cardiac electromagnetic field with a highly miniaturized (20 mm3), atomic magnetometer constructed by microfabrication techniques. Measurements were performed in two mice. The magnetometer was placed close to the sternum region, approximately 2 mm away from the surface of the skin. QRS complexes were identifiable in the magnetocardiographic signals in all recordings except for those performed when the animal was moved far away (>10 cm) from the sensor. Non-contact recording of cardiac electromagnetic fields with a microfabricated magnetometer is feasible in a shielded environment.
{"title":"Non-contact measurement of cardiac electromagnetic field in mice by use of a microfabricated atomic magnetometer","authors":"B. Lindseth, P. Schwindt, J. Kitching, D. Fischer, V. Shusterman","doi":"10.1109/CIC.2007.4745517","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745517","url":null,"abstract":"The development of clinical applications of magnetocardiography has been impeded by the large size of the systems used to measure magnetic fields. Here we present the first measurements of the cardiac electromagnetic field with a highly miniaturized (20 mm3), atomic magnetometer constructed by microfabrication techniques. Measurements were performed in two mice. The magnetometer was placed close to the sternum region, approximately 2 mm away from the surface of the skin. QRS complexes were identifiable in the magnetocardiographic signals in all recordings except for those performed when the animal was moved far away (>10 cm) from the sensor. Non-contact recording of cardiac electromagnetic fields with a microfabricated magnetometer is feasible in a shielded environment.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129791352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745541
J. Lian, H. Kraetschmer, D. Mussig
This study investigates the feasibility of synthesizing surface ECG (SECG) from the intracardiac electrogram (IEGM) measured by the implanted device. Using an adaptive filter approach, we characterize the optimal filters relating the representative IEGM templates and the desired SECG templates. The optimal filters, which vary from sample to sample and are specific to event types, are then used to process the IEGM input to generate the pseudo-ECG output. The algorithm was preliminarily evaluated on experimental data collected from an anaesthetized pig and in selected data from the Ann Arbor Electrogram Libraries. In all tested cases, the morphological features of the pseudo-ECG are highly comparable to the SECG, and clinically relevant cardiac rhythm information was preserved. The IEGM derived pseudo-ECG may provide useful diagnostic information and facilitate implant device follow-up.
{"title":"Synthesizing surface ECGs from intracardiac electrograms using an adaptive filter method","authors":"J. Lian, H. Kraetschmer, D. Mussig","doi":"10.1109/CIC.2007.4745541","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745541","url":null,"abstract":"This study investigates the feasibility of synthesizing surface ECG (SECG) from the intracardiac electrogram (IEGM) measured by the implanted device. Using an adaptive filter approach, we characterize the optimal filters relating the representative IEGM templates and the desired SECG templates. The optimal filters, which vary from sample to sample and are specific to event types, are then used to process the IEGM input to generate the pseudo-ECG output. The algorithm was preliminarily evaluated on experimental data collected from an anaesthetized pig and in selected data from the Ann Arbor Electrogram Libraries. In all tested cases, the morphological features of the pseudo-ECG are highly comparable to the SECG, and clinically relevant cardiac rhythm information was preserved. The IEGM derived pseudo-ECG may provide useful diagnostic information and facilitate implant device follow-up.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133564435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745423
R. Mohindra, J. Sapp, J. Clements, B. Horáček
It has been proposed that by optimizing the timing of activation between the ventricles (V-V interval), with the aid of body-surface potential mapping (BSPM), the success rate of cardiac resynchronization therapy (CRT) devices could be improved. We recorded 120-electrode BSPM data and CT scans from two patients with implanted CRT devices and calculated, by means of electrocardiographic inverse solution, epicardial potentials and isochrones of activation for different V-V intervals. To gain better insight, we used a computer model of ventricular activation to simulate activation isochrones for CRT pacing. As a measure of inter-ventricular synchrony for a variety of V-V settings we used the area between the LV and RV percent surface activated curves. We have demonstrated that by aiming to minimize dyssynchrony in ventricular activation patterns, an optimal CRT pacing V-V interval can be selected. The computer model simulations provided a baseline measure by which our measure of synchrony can be evaluated.
{"title":"Use of body-surface potential mapping and computer model simulations for optimal programming of cardiac resynchronization therapy devices","authors":"R. Mohindra, J. Sapp, J. Clements, B. Horáček","doi":"10.1109/CIC.2007.4745423","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745423","url":null,"abstract":"It has been proposed that by optimizing the timing of activation between the ventricles (V-V interval), with the aid of body-surface potential mapping (BSPM), the success rate of cardiac resynchronization therapy (CRT) devices could be improved. We recorded 120-electrode BSPM data and CT scans from two patients with implanted CRT devices and calculated, by means of electrocardiographic inverse solution, epicardial potentials and isochrones of activation for different V-V intervals. To gain better insight, we used a computer model of ventricular activation to simulate activation isochrones for CRT pacing. As a measure of inter-ventricular synchrony for a variety of V-V settings we used the area between the LV and RV percent surface activated curves. We have demonstrated that by aiming to minimize dyssynchrony in ventricular activation patterns, an optimal CRT pacing V-V interval can be selected. The computer model simulations provided a baseline measure by which our measure of synchrony can be evaluated.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745595
Pascale Beliveau, R. Setser, F. Cheriet, R. White, Thomas O'Donnell
The assessment of myocardial viability in the left ventricle (LV) of patients with coronary artery disease is essential for determining prognosis and planning appropriate therapy. Typically, population-based models are used to associate regions containing non-viable (dead) myocardial tissue with a particular coronary artery. We propose a technique to automatically generate patient specific coronary distribution maps based on noninvasive multi-slice computed tomography (MSCT). We associate a region with the closest coronary using geodesic distance measurement over the LV epicardial surface. Projection of the coronary territories onto a flat disk allows our maps to be compared to standard models (i.e., the 17-Segment Model). This technique was applied to seven cases and an experienced cardiac radiologist examined the results for validation. Additionally, we register the patient-specific coronary territory maps with myocardial viability maps derived from noninvasive magnetic resonance imaging (MRI).
{"title":"Computation of coronary perfusion territories from CT angiography","authors":"Pascale Beliveau, R. Setser, F. Cheriet, R. White, Thomas O'Donnell","doi":"10.1109/CIC.2007.4745595","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745595","url":null,"abstract":"The assessment of myocardial viability in the left ventricle (LV) of patients with coronary artery disease is essential for determining prognosis and planning appropriate therapy. Typically, population-based models are used to associate regions containing non-viable (dead) myocardial tissue with a particular coronary artery. We propose a technique to automatically generate patient specific coronary distribution maps based on noninvasive multi-slice computed tomography (MSCT). We associate a region with the closest coronary using geodesic distance measurement over the LV epicardial surface. Projection of the coronary territories onto a flat disk allows our maps to be compared to standard models (i.e., the 17-Segment Model). This technique was applied to seven cases and an experienced cardiac radiologist examined the results for validation. Additionally, we register the patient-specific coronary territory maps with myocardial viability maps derived from noninvasive magnetic resonance imaging (MRI).","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"373 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113996249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745572
S. S. Giri, Yu Ding, Yoshinori Nishijima, A. Pedraza-Toscano, Patrick Burns, Robert L. Hamlin, Orlando P. Simonetti
Arterial stiffness is thought to be a powerful indicator of present and possible future cardiovascular risk. Accordingly, there is an increasing interest in the non-invasive clinical measurement of arterial stiffness. The commonly used non-invasive methods assess aortic pulse wave velocity (PWV) which is known to be a good indicator of aortic stiffness. These methods calculate the PWV by measuring the pressure or flow velocity at two locations along the aorta to determine the arrival time of the pulse wave; the distance between these locations is measured either on the body surface or using high resolution images. In this study, we have developed a novel method based on MRI that calculates the aortic PWV using multiple locations along the aorta. This approach is largely automatic vis-a-vis aortic segmentation that reduces user-subjectivity; the inclusion of multiple points along aorta increases the accuracy of PWV measurement by averaging.
{"title":"Automated and accurate measurement of aortic pulse wave velocity using magnetic resonance imaging","authors":"S. S. Giri, Yu Ding, Yoshinori Nishijima, A. Pedraza-Toscano, Patrick Burns, Robert L. Hamlin, Orlando P. Simonetti","doi":"10.1109/CIC.2007.4745572","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745572","url":null,"abstract":"Arterial stiffness is thought to be a powerful indicator of present and possible future cardiovascular risk. Accordingly, there is an increasing interest in the non-invasive clinical measurement of arterial stiffness. The commonly used non-invasive methods assess aortic pulse wave velocity (PWV) which is known to be a good indicator of aortic stiffness. These methods calculate the PWV by measuring the pressure or flow velocity at two locations along the aorta to determine the arrival time of the pulse wave; the distance between these locations is measured either on the body surface or using high resolution images. In this study, we have developed a novel method based on MRI that calculates the aortic PWV using multiple locations along the aorta. This approach is largely automatic vis-a-vis aortic segmentation that reduces user-subjectivity; the inclusion of multiple points along aorta increases the accuracy of PWV measurement by averaging.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"36 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114226820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-09-01DOI: 10.1109/CIC.2007.4745575
L. Xia, J. Dou, Y. Gong, Y. Zhang, D. Deng
Asynchronous electrical activation, induced by bundle branch block (BBB), can cause reduced ventricular function. However, effects of BBB on the mechanical function of heart are difficult to assess experimentally. Based on an electromechanical canine heart model developed recently, the mechanical properties of complete LBBB and RBBB were simulated. The geometries and myofibre orientations of ventricles were constructed based on MR scan and diffusion tensor MRI datasets. The electrical activation sequences were simulated by solutions of reaction-diffusion equations and myocardial active forces were used to calculate ventricular wall deformation based on FEM method. The results showed that there is an asynchronous contraction of the septum in BBB during systole, the ejection fraction of left ventricle during LBBB and RBBB is 21.7% and 24.7% respectively, and patients with LBBB may have a more decreased stroke volume and thus are more likely to develop cardiovascular diseases.
{"title":"Simulation analysis of mechanical properties of the canine heart with bundle branch block based on a 3-D electromechanical model","authors":"L. Xia, J. Dou, Y. Gong, Y. Zhang, D. Deng","doi":"10.1109/CIC.2007.4745575","DOIUrl":"https://doi.org/10.1109/CIC.2007.4745575","url":null,"abstract":"Asynchronous electrical activation, induced by bundle branch block (BBB), can cause reduced ventricular function. However, effects of BBB on the mechanical function of heart are difficult to assess experimentally. Based on an electromechanical canine heart model developed recently, the mechanical properties of complete LBBB and RBBB were simulated. The geometries and myofibre orientations of ventricles were constructed based on MR scan and diffusion tensor MRI datasets. The electrical activation sequences were simulated by solutions of reaction-diffusion equations and myocardial active forces were used to calculate ventricular wall deformation based on FEM method. The results showed that there is an asynchronous contraction of the septum in BBB during systole, the ejection fraction of left ventricle during LBBB and RBBB is 21.7% and 24.7% respectively, and patients with LBBB may have a more decreased stroke volume and thus are more likely to develop cardiovascular diseases.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114385543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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