Computing in cardiologyPub Date : 2017-09-01Epub Date: 2018-04-05DOI: 10.22489/CinC.2017.370-289
Sandesh Ghimire, Jwala Dhamala, Jaume Coll-Font, Jess D Tate, Maria S Guillem, Dana H Brooks, Rob S MacLeod, Linwei Wang
{"title":"Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: A Community-Based Approach.","authors":"Sandesh Ghimire, Jwala Dhamala, Jaume Coll-Font, Jess D Tate, Maria S Guillem, Dana H Brooks, Rob S MacLeod, Linwei Wang","doi":"10.22489/CinC.2017.370-289","DOIUrl":"https://doi.org/10.22489/CinC.2017.370-289","url":null,"abstract":"<p><p>There has been a recent upsurge in the development of electrocardiographic imaging (ECGI) methods, along with a significant increase in clinical application. To better assess the state-of-the-art, enable reliable progress, and facilitate clinical adoption, it is important to be able to compare results in a comprehensive manner, scientifically and clinically. However, studies vary in modeling choices, computational methods, validation mechanisms and metrics, and clinical applications, making unified evaluation and comparison of ECGI a critical challenge. This paper describes initial results of a project to address this challenge via a community-based approach organized by the Consortium for Electrocardiographic Imaging (CEI). We detail different aspects of this collective effort including a data sharing repository, a platform for comparison of different algorithms and modeling approaches on the same datasets, several active workgroups and progress made along these directions. We also summarize the results from groups participating in this collaboration and contributing solutions by applying their methods to the same dataset for comparison.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"44 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007992/pdf/nihms934988.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36247472","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}
Computing in cardiologyPub Date : 2017-09-01Epub Date: 2018-04-05DOI: 10.22489/CinC.2017.269-417
Wilson W Good, Burak Erem, Jaume Coll-Font, Dana H Brooks, Rob S MacLeod
{"title":"Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity.","authors":"Wilson W Good, Burak Erem, Jaume Coll-Font, Dana H Brooks, Rob S MacLeod","doi":"10.22489/CinC.2017.269-417","DOIUrl":"https://doi.org/10.22489/CinC.2017.269-417","url":null,"abstract":"<p><p>The underlying pathophysiology of ischemia and its electrocardiographic consequences are poorly understood, resulting in unreliable diagnosis of this disease. This limited knowledge of underlying mechanisms suggests a data driven approach, which seeks to identify patterns in the ECG that can be linked statistically to underlying behavior and conditions of ischemic stress. The gold standard ECG metrics for evaluating ischemia monitor vertical deflections within the ST segment. However, ischemia influences all portions of the electrogram. Another metric that targets the QRS complex during ischemia is Conduction Velocity (CV). An even more inclusive, data driven approach is known as \"Laplacian Eigenmaps\" (LE), which can identify trajectories, or \"manifolds\", that respond to different spatiotemporal consequences of ischemic stress, and these changes to the trajectories on the manifold may serve as a clinically relevant biomarker. On this study, we compared the LE- and CV-based markers against two gold standards for detecting ischemic stress, both derived from the ST segment. We evaluated the response time and fidelity of each biomarker using a Time to Threshold (TTT) and Contrast Ratio (CR) measure, over 51 episodes recorded as cardiac electrograms from a canine model of controlled ischemia. The results show that metrics designed to monitor regions beyond the ST segment can perform at least as well, if not better, than traditional ST segment based metrics.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"44 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007991/pdf/nihms934978.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36247471","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}
Computing in cardiologyPub Date : 2016-09-01Epub Date: 2017-03-02DOI: 10.23919/CIC.2016.7868736
Muammar M Kabir, Golriz Sedaghat, Jason Thomas, Larisa G Tereshchenko
{"title":"Reproducibility of Heart Rate Variability Characteristics Measured on Random 10-second ECG using Joint Symbolic Dynamics.","authors":"Muammar M Kabir, Golriz Sedaghat, Jason Thomas, Larisa G Tereshchenko","doi":"10.23919/CIC.2016.7868736","DOIUrl":"https://doi.org/10.23919/CIC.2016.7868736","url":null,"abstract":"<p><p>In this paper we employed joint symbolic dynamics (JSD) approach to study reproducibility of heart rate variability characteristics measured on 2 randomly selected 10-second segments within 3-minute resting orthogonal ECG in 170 healthy participants. First, the ECG R-peaks were detected using parabolic fitting. Second, the respiratory signal was derived from orthogonal ECG X-lead using QRS slopes. Third, time series of R-R intervals and respiratory phases (calculated using Hilbert transform), were transformed into tertiary symbol vectors based on their successive changes and words of length '3' were formed. Bland-Altman analysis was used to assess the agreement between measured log-transformed JSD characteristics of HRV, and their reproducibility. Traditional HRV measures such as RR' interval changes showed a very high reproducibility. However, agreement between two 10-second JSD indices of HRV was low. Interestingly, a significant decrease in low-high alterations of HRV dynamics measured using JSD was observed when respiratory phase transition intervals were excluded (10s: 4.7±9.4 vs. 24.8±21.0%, p<0.0001; 3min: 9.8±8.1 vs. 24.8±12.3%, p<0.0001).</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"2016 ","pages":"289-292"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606201/pdf/nihms-849301.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35440162","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}
Golriz Sedaghat, Muammar M Kabir, Larisa G Tereshchenko
{"title":"QRS Loop Folding Phenomenon in Vectorcardiogram of Healthy Individuals.","authors":"Golriz Sedaghat, Muammar M Kabir, Larisa G Tereshchenko","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Recently, we developed a novel approach to study the rapid and sudden changes in the direction of ventricular activation called folding phenomenon. In order to better understand this phenomenon, we were interested in studying the variation of the orientation of [Formula: see text] for i=1…N where [Formula: see text] represents the QRS vector at the i<sup>th</sup> sample point. In this study, we described the orientation of the [Formula: see text] vector and the rotation of its frame of reference in details in 81 healthy participants from the Intercity Digital Electrocardiogram Alliance (IDEAL) study using unit quaternions and Euler angles. We observed that the variance of the elevation of rotation axis <i>u⃗</i> was significantly higher in men compared to women (1340±421 vs. 1063±381, P=0.003, respectively). Additionally, there was a significant negative correlation between the variance of the azimuth of <i>u⃗</i> and height (CC=-0.26, P=0.019) while the elevation of <i>u⃗</i> and height were significantly positively correlated (CC=0.24, P=0.034). Moreover, the elevation of <i>u⃗</i> had a positive significant correlation with weight and body surface area (CC=0.22, P=0.045 and CC=0.26, P=0.020 respectively).</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"645-648"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606210/pdf/nihms849302.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35440163","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}
Computing in cardiologyPub Date : 2016-09-01Epub Date: 2017-03-02DOI: 10.23919/CIC.2016.7868698
Mohammad Adibuzzaman, Ken Musselman, Alistair Johnson, Paul Brown, Zachary Pitluk, Ananth Grama
{"title":"Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database.","authors":"Mohammad Adibuzzaman, Ken Musselman, Alistair Johnson, Paul Brown, Zachary Pitluk, Ananth Grama","doi":"10.23919/CIC.2016.7868698","DOIUrl":"https://doi.org/10.23919/CIC.2016.7868698","url":null,"abstract":"<p><p>We describe a new model for collaborative access, exploration, and analyses of the Medical Information Mart for Intensive Care - III (MIMIC III) database for translational clinical research. The proposed model addresses the significant disconnect between data collection at the point of care and translational clinical research. It addresses problems of data integration, preprocessing, normalization, analyses (along with associated compute back-end), and visualization. The proposed platform is general, and can be easily adapted to other databases. The pre-packaged analyses toolkit is easily extensible, and allows for multi-language support. The platform can be easily federated, mirrored at other locations, and supports a RESTful API for service composition and scaling.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"137-140"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/CIC.2016.7868698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35426513","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}
Jaume Coll-Font, Jwala Dhamala, Danila Potyagaylo, Walther Hw Schulze, Jess D Tate, Maria S Guillem, Peter van Dam, Olaf Dossel, Dana H Brooks, Rob S Macleod
{"title":"The Consortium for Electrocardiographic Imaging.","authors":"Jaume Coll-Font, Jwala Dhamala, Danila Potyagaylo, Walther Hw Schulze, Jess D Tate, Maria S Guillem, Peter van Dam, Olaf Dossel, Dana H Brooks, Rob S Macleod","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Electrocardiographic imaging (ECGI) has recently gained attention as a viable diagnostic tool for reconstructing cardiac electrical activity in normal hearts as well as in cardiac arrhythmias. However, progress has been limited by the lack of both standards and unbiased comparisons of approaches and techniques across the community, as well as the consequent difficulty of effective collaboration across research groups.. To address these limitations, we created the Consortium for Electrocardiographic Imaging (CEI), with the objective of facilitating collaboration across the research community in ECGI and creating standards for comparisons and reproducibility. Here we introduce CEI and describe its two main efforts, the creation of EDGAR, a public data repository, and the organization of three collaborative workgroups that address key components and applications in ECGI. Both EDGAR and the workgroups will facilitate the sharing of ideas, data and methods across the ECGI community and thus address the current lack of reproducibility, broad collaboration, and unbiased comparisons.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"325-328"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404701/pdf/nihms855624.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34950904","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}
Karli Gillette, Jess Tate, Brianna Kindall, Wilson Good, Jeff Wilkinson, Narendra Simha, Rob MacLeod
{"title":"Temporal Dilation of Animal Cardiac Recordings Registered to Human Torso Geometries.","authors":"Karli Gillette, Jess Tate, Brianna Kindall, Wilson Good, Jeff Wilkinson, Narendra Simha, Rob MacLeod","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Recordings of cardiac surface potentials from animal hearts can be mapped into human torso and used as source potentials for torso simulation. However, geometric registration of the heart can introduce changes in the effective conduction velocity due to change in relative positions of the recording sites. We developed a time dilation technique to ensure that adjusted cardiac potential recordings had physiological timing similar to human recordings after registration and corrected for conduction velocity. Temporal dilation was performed both linearly and nonlinearly using two scaling techniques that reflect either global or local deformations. Linear temporal dilation of canine epicardial potential recordings using global scaling could be used to generate electrograms physiologically similar to humans in terms of conduction velocity, activation recovery interval, total activation time, and activation maps. Epicardial potential mapping of such dilated canine recordings thus allows the investigation of human-like arrhythmias and other disease states that can not be readily induced or measured in humans.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"329-332"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404704/pdf/nihms855625.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34950906","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}
Wilson W Good, Burak Erem, Jaume Coll-Font, Dana H Brooks, Rob S MacLeod
{"title":"Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space.","authors":"Wilson W Good, Burak Erem, Jaume Coll-Font, Dana H Brooks, Rob S MacLeod","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The underlying pathophysiology of ischemia is poorly understood, resulting in unreliable clinical diagnosis of this disease. This limited knowledge of underlying mechanisms suggested a data driven approach, which seeks to identify patterns in the ECG data that can be linked statistically to underlying behavior and conditions of ischemic tissue. Previous studies have suggested that an approach known as Laplacian eigenmaps (LE) can identify trajectories, or manifolds, that are sensitive to different spatiotemporal consequences of ischemic stress, and thus serve as potential clinically relevant biomarkers. We applied the LE approach to measured transmural potentials in several canine preparations, recorded during control and ischemic conditions, and discovered regions on an approximated QRS-derived manifold that were sensitive to ischemia. By identifying a vector pointing to ischemia-associated changes to the manifold and measuring the shift in trajectories along that vector during ischemia, which we denote as Mshift, it was possible to also pull that vector back into signal space and determine which electrodes were responsible for driving the observed changes in the manifold. We refer to the signal space change as the manifold differential (Mdiff). Both the Mdiff and Mshift metrics show a similar degree of sensitivity to ischemic changes as standard metrics applied during the ST segment in detecting ischemic regions. The new metrics also were able to distinguish between sub-types of ischemia. Thus our results indicate that it may be possible to use the Mshift and Mdiff metrics along with ST derived metrics to determine whether tissue within the myocardium is ischemic or not.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"1057-1060"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404698/pdf/nihms855626.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34950907","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}
Ross H Johnstone, Rémi Bardenet, David J Gavaghan, Liudmila Polonchuk, Mark R Davies, Gary R Mirams
{"title":"Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces.","authors":"Ross H Johnstone, Rémi Bardenet, David J Gavaghan, Liudmila Polonchuk, Mark R Davies, Gary R Mirams","doi":"10.22489/CinC.2016.313-458","DOIUrl":"10.22489/CinC.2016.313-458","url":null,"abstract":"<p><p>There are many sources of uncertainty in the recording and modelling of membrane action potentials (APs) from cardiomyocytes. For example, there are measurement, parameter, and model uncertainties. There is also extrinsic variability between cells, and intrinsic beat-to-beat variability within a single cell. These combined uncertainties and variability make it very difficult to extrapolate predictions from these models, since current AP models have single parameter values and thus produce a single AP trace. We aim to re-parameterise existing AP models to fit experimental data, and to quantify uncertainty associated with ion current densities when measuring and modelling these APs. We then wish to propagate this uncertainty into model predictions, such as ion channel block effected by a pharmaceutical compound. We perform an in silico study using synthetic data generated from different sets of parameters. We then 'forget' these parameter values and re-infer their distributions using hierarchical Markov chain Monte Carlo methods. We find that we can successfully infer the 'correct' distributions for most ion current densities for each AP trace, along with an approximation to the higher-level distribution from which these parameter values were sampled. There is, however, some level of unidentifiability amongst some of the current densities.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"43 ","pages":"1089-1092"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614890/pdf/EMS182583.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10013531","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}
Brett M Burton, Jess D Tate, Wilson Good, Rob S Macleod
{"title":"The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart.","authors":"Brett M Burton, Jess D Tate, Wilson Good, Rob S Macleod","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Myocardial ischemia is the response of the heart to reduced coronary blood flow, leading to changes in ST segment potentials. ST segment depression is regarded as an indicator of nontransmural myocardial ischemia; however, not all nontransmural ischemia results in ST depression. This apparent discrepancy may be the result of many complex factors in cardiac response mechanisms to reduced blood flow. As a result, sophisticated computer models have emerged that have provided key insights into this complex phenomenon and the circumstances surrounding ST depression. Though these models have been able to produce ST depressions, many have neglected the effect of intracavitary blood volume, associated with different phases of the cardiac cycle. To explore the influence of the cardiac blood volume variability on epicardial potentials during nontransmural ischemia, we incorporated a thin, subendocardial ischemic zone geometry into an anatomically realistic, image-based ventricular model, and generated a finite element, static bidomain solution to determine the resulting epicardial surface potentials. It was first determined that, under baseline conditions (i.e., expanded left ventricular volumes corresponding to diastole), a predictable ST depression developed over the ischemic region. Left ventricular volume was then incrementally reduced, while maintaining the size and general shape of the ischemic region, in order to reflect the systolic phase of the cardiac cycle. As blood volume geometries decreased, epicardial ST depression overlying the ischemic region first increased in surface area as blood volume was reduced and before dramatically reducing near 30% blood volume reduction - accentuating the role and importance of blood volume variation in computational models of ischemia.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"209-212"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404699/pdf/nihms855623.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34950903","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}