Computing in cardiology最新文献

Discovering Cardiac Action Potential Model Equations Using Sparse Identification of Nonlinear Dynamics. 用非线性动力学稀疏辨识方法建立心脏动作电位模型方程。

Computing in cardiology Pub Date : 2025-09-16 Epub Date: 2025-12-16 DOI: 10.22489/cinc.2025.426

Cole S Welch, Elizabeth M Cherry

{"title":"Discovering Cardiac Action Potential Model Equations Using Sparse Identification of Nonlinear Dynamics.","authors":"Cole S Welch, Elizabeth M Cherry","doi":"10.22489/cinc.2025.426","DOIUrl":"10.22489/cinc.2025.426","url":null,"abstract":"Many models of cardiac action potentials (APs) have been developed, but identifying appropriate equations and parameter values to match particular datasets remains a challenge. To reproduce cardiac AP data, we consider the use of a data-driven approach, Sparse Identification of Nonlinear Dynamics (SINDy). SINDy is a sparse regression method that uses a set of chosen candidate functions to produce a differential-equations model that fits the provided data. Terms with small coefficients are iteratively discarded to reduce model complexity while maintaining an accurate fit. We analyzed SINDy's effectiveness in fitting synthetic AP data from two-variable models with polynomial terms, including the FitzHugh-Nagumo model (FHN), its cardiac variant that avoids hyperpolarization, and two additional cardiac-modified FHN models that can display complex dynamics. We found that SINDy could effectively reproduce the equations for each model, with the cardiac variants displaying greater sensitivity to parameter and optimizer choice than the baseline FHN model. Finally, we tested the ability of SINDy to handle the introduction of time-dependent stimulus currents, including identification during alternans dynamics. Overall, SINDy shows promise as an approach for identifying differential equations models to match cardiac AP data while balancing model complexity and accuracy.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13059136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Pig to Human: Endo-Epicardial Substrate Characterization Using Dual Optical Mapping. 从猪到人：使用双光学测绘的心外膜基底表征。

Computing in cardiology Pub Date : 2025-09-16 Epub Date: 2025-12-16 DOI: 10.22489/cinc.2025.216

Jimena Siles, Casey Lee-Trimble, Evan Rheaume, Flavio Fenton, João Salinet, Ilija Uzelac

{"title":"From Pig to Human: Endo-Epicardial Substrate Characterization Using Dual Optical Mapping.","authors":"Jimena Siles, Casey Lee-Trimble, Evan Rheaume, Flavio Fenton, João Salinet, Ilija Uzelac","doi":"10.22489/cinc.2025.216","DOIUrl":"10.22489/cinc.2025.216","url":null,"abstract":"Understanding the dissociation between endocardial and epicardial electrical activity is critical for investigating arrhythmia mechanisms. In this study, we used a dual optical mapping system to simultaneously record transmembrane voltage signals from both surfaces (endo-epi) in porcine and human hearts. Endocardium was paced at incrementally faster rates, starting with a pacing cycle length (PCL) of 1000 ms and continuing until conduction block or an arrhythmia. Porcine hearts showed an abrupt transition to fibrillation with negligible action potential duration (APD) alternans. In contrast, human hearts exhibited marked alternans and repolarization heterogeneity prior to fibrillation, with APD reaching up to 600 ms in the endocardium at PCL=230 ms. During fibrillation, endocardial maps revealed areas of conduction block and multiple reentrant sites, whereas epicardial activation was slower compared with the endocardium. These results shows endo-epicardial dissociation and species-specific differences in arrhythmogenesis, supporting the use of dual-surface optical mapping as a tool for translational cardiac research.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147678925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reproducing Cardiac Ionic Model Properties Using a Discrete-Time Model. 用离散时间模型再现心脏离子模型性质。

Computing in cardiology Pub Date : 2025-09-15 Epub Date: 2025-12-16 DOI: 10.22489/cinc.2025.414

Rikhil L Seshadri, Maxfield R Comstock, Elizabeth M Cherry

{"title":"Reproducing Cardiac Ionic Model Properties Using a Discrete-Time Model.","authors":"Rikhil L Seshadri, Maxfield R Comstock, Elizabeth M Cherry","doi":"10.22489/cinc.2025.414","DOIUrl":"10.22489/cinc.2025.414","url":null,"abstract":"Typical differential equations-based models of cardiac action potentials (APs) may be inefficient for studying processes that occur over long time scales, such as heart rate variability and electrophysiological remodeling due to atrial fibrillation or heart failure. A discrete-time model of cardiac APs and intracellular calcium cycling may offer advantages in such settings, but correlations between continuous- and discrete-time models so far have not been developed. We used particle swarm optimization to fit the parameters of the Qu et al. discrete-time model to AP duration (APD) values over a wide range of periods for the ten Tusscher et al. (2006), Beeler-Reuter, and Fox et al. models. We found that the discrete model is capable of reproducing the APD dynamics of each model over a wide range of pacing periods including the alternans regions. Unlike the detailed ionic models, the discrete model requires only a single update step for each APD value and retains information about calcium dynamics, such as peak intracellular calcium and sarcoplasmic reticulum calcium load during the AP. Using these fittings, the discrete model may offer advantages for studying aspects of cardiac APs or calcium dynamics normally investigated through detailed ionic models at a fraction of the computational cost.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13089497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Parameterization of Human Ventricular Ionic Models Using CardioFit. 基于CardioFit的人体心室离子模型快速参数化。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/cinc.2025.188

Maxfield R Comstock, Flavio H Fenton, Elizabeth M Cherry

{"title":"Fast Parameterization of Human Ventricular Ionic Models Using CardioFit.","authors":"Maxfield R Comstock, Flavio H Fenton, Elizabeth M Cherry","doi":"10.22489/cinc.2025.188","DOIUrl":"10.22489/cinc.2025.188","url":null,"abstract":"Ionic models of cardiac action potentials (APs) may not reproduce all relevant datasets using their default settings, and tuning parameter values to improve fits is often difficult. To facilitate this task, we present CardioFit, a tool to fit cardiac AP model parameters to time-series data using particle swarm optimization (PSO). CardioFit quickly finds conductance parameter values for detailed human ventricular models, including those of ten Tusscher et al. (2006) and O'Hara et al., that match experimental data, within the capabilities of the models. CardioFit is implemented as a web-based tool using JavaScript and the WebGL graphics API, allowing PSO to take advantage of any available graphics-processing unit hardware to run in parallel. As the PSO algorithm requires the simultaneous evaluation of many candidate parameterizations when searching for the best fit, this method is well-suited to large-scale parallelism. Due to its fast parallel implementation, CardioFit obtains conductance parameters of detailed ionic models to match a given dataset in a few minutes on consumer-grade hardware, even though tens of thousands of model runs typically are required.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13056389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

VizCOM: A Novel Tool for Advanced Visualization and Analysis of Cardiac Optical Mapping Data. VizCOM：一种用于心脏光学测绘数据高级可视化和分析的新工具。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/cinc.2025.443

Christopher Chiu, Grayson Molesworth, Mikael Toye, Elizabeth M Cherry, Flavio H Fenton

{"title":"VizCOM: A Novel Tool for Advanced Visualization and Analysis of Cardiac Optical Mapping Data.","authors":"Christopher Chiu, Grayson Molesworth, Mikael Toye, Elizabeth M Cherry, Flavio H Fenton","doi":"10.22489/cinc.2025.443","DOIUrl":"10.22489/cinc.2025.443","url":null,"abstract":"Cardiac optical mapping is the state of the art used for quantifying cardiac spatiotemporal dynamics, with recent advances enabling high-quality recordings from high-resolution CMOS cameras at relatively low prices ($500). Analyzing the large data sets to extract quantitative information is now a bottleneck. We developed VizCOM, a highly interactive feature-rich Python-based tool for visualizing and analyzing cardiac optical mapping data that works on Windows and MacOS. VizCOM can process very long (minutes) voltage or simultaneous voltage-calcium recordings from various cameras. A mask can be drawn to isolate a region of interest, and the signal from any pixel can be displayed by moving the mouse over the image. Filtering methods available include stacking and baseline drift removal. Activation maps (colors/isochrones) for wave fronts/backs can be displayed. Plots of action potential duration (APD) vs. diastolic interval for all pixels and of APD dispersion across the whole tissue can be shown for each beat, as well as ΔAPD plots for alternans. APD also can be calculated for a line drawn across the tissue to analyze alternans. All values can be saved, including histograms of APD spatial distributions, APD restitutions, and movies of activation sequences. Overall, VizCOM provides comprehensive high-level support for visualization and analysis of cardiac optical-mapping signals.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13090010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of LGE MRI Scar Identification Methods for Atrial Computational Modeling. 心房计算建模中LGE MRI瘢痕识别方法的比较。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/cinc.2025.166

Jake A Bergquist, Benjamin Orkild, Eugene Kwan, Karli Gillette, Kyoichiro Yazaki, Surachat Jaroonpipatkul, Ed Dibella, Rich Shelton, Erik Beiging, Lowell Chang, Gernot Plank, Shireen Elhabian, Rob S MacLeod, Ravi Ranjan

{"title":"Comparison of LGE MRI Scar Identification Methods for Atrial Computational Modeling.","authors":"Jake A Bergquist, Benjamin Orkild, Eugene Kwan, Karli Gillette, Kyoichiro Yazaki, Surachat Jaroonpipatkul, Ed Dibella, Rich Shelton, Erik Beiging, Lowell Chang, Gernot Plank, Shireen Elhabian, Rob S MacLeod, Ravi Ranjan","doi":"10.22489/cinc.2025.166","DOIUrl":"10.22489/cinc.2025.166","url":null,"abstract":"Identification of patient-specific scar and fibrosis is a critical step in the personalization of cardiac computational models. Late gadolinium enhanced cardiac magnetic resonance imaging (LGE-cMRI) is often used to identify patient anatomy, as well as tissue fibrosis and scar. Automated methods to identify scar from LGE-cMRI exist. Still, there is no clear consensus as to which is best in the context of patient-specific computational modeling of atrial fibrillation. There has been no substantial investigation into the effects that variability in scar may have on downstream patient-specific simulations. This study compares the distribution of scar patterns generated via automated LGE-cMRI analysis alongside human-guided scar identification. We assess the effects each identified scar pattern has on downstream computational modeling outputs by comparing the number of stable re-entrant arrhythmias induced In Silico in atrial fibrillation. We find both substantial disagreement between scar patterns identified via automated and human-guided methods, as well as sensitivity in the arrhythmia simulation outcomes across scar patterns. These results highlight the sensitivity of such computational models to these input parameters and enforce the need for robust personalization tools in the cardiac modeling field.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12867100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Ventricular Arrhythmia in Myocardial Ischemia Using Machine Learning. 利用机器学习预测心肌缺血时室性心律失常。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/CinC.2025.005

Anna Busatto, Jake A Bergquist, Tolga Tasdizen, Benjamin A Steinberg, Ravi Ranjan, Rob S MacLeod

引用次数: 0

Quantifying APD-ARI Differences Across Endo-Epicardial Surfaces in Human and Porcine Hearts. 定量测定人和猪心外膜内表面APD-ARI差异。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/cinc.2025.218

Jimena Siles, Casey Lee-Trimble, Evan Rheaume, Shahriar Iravanian, Flavio Fenton, João Salinet, Ilija Uzelac

引用次数: 0

Efficient Generation of Populations of Cardiac Models. 心脏模型群体的高效生成。

Computing in cardiology Pub Date : 2025-01-01 DOI: 10.22489/cinc.2025.194

Darby I Cairns, Elizabeth M Cherry

{"title":"Efficient Generation of Populations of Cardiac Models.","authors":"Darby I Cairns, Elizabeth M Cherry","doi":"10.22489/cinc.2025.194","DOIUrl":"10.22489/cinc.2025.194","url":null,"abstract":"To model variability of cardiac action potentials (APs), a population of models (PoM) consisting of different sets of a model's parameter values can be created and calibrated to match observed variability in properties such as AP duration (APD). However, producing appropriate parameter sets for the PoM can be difficult and time-consuming. We adapted a particle swarm optimization (PSO) optimization technique to generate a population of models efficiently. Our population PSO (PPSO) algorithm discourages convergence to a local minimum, and instead guides the search to explore low-error areas of parameter space, yielding many parameter sets that can reproduce the variability of biomarkers seen in real tissue data. Using canine ventricular microelectrode recordings and a synthetic dataset, we extracted sets of APD- and voltage-based biomarkers, allowing ±10% and ±30% variations of the base biomarker values to represent variability. We created 5000- and 2500-member PoMs fitting the parameters of the Fenton-Karma (FK) and ten Tusscher-Noble-Noble-Panfilov (TNNP) models to the biomarker ranges using PPSO. Compared to a random approach, our novel PPSO method produced PoMs matching biomarkers with similar coverage of parameter space for both the FK and TNNP cases, but with greater computational efficiency, accepting up to 10 times more candidate parameter sets.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"52 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13056387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Estimation of Myocardial Ischemia Severity Using Body Surface ECG. 基于体表心电图的机器学习估计心肌缺血严重程度。

Computing in cardiology Pub Date : 2024-12-01 DOI: 10.22489/cinc.2024.144

Rui Jin, Jake A Bergquist, Deekshith Dade, Brian Zenger, Xiangyang Ye, Ravi Ranjan, Rob S MacLeod, Benjamin A Steinberg, Tolga Tasdizen

引用次数: 0