{"title":"A Robust Detection Method of Atrial Fibrillation","authors":"Jing Hu, Wei Zhao, Yanwu Xu, Dongya Jia, Cong Yan, Hongmei Wang, Tianyuan You","doi":"10.22489/CinC.2018.268","DOIUrl":"https://doi.org/10.22489/CinC.2018.268","url":null,"abstract":"Atrial fibrillation (AF) is a common atrial arrhythmia occurring in clinical practice and can be diagnosed using electrocardiogram (ECG) signal. A novel method is proposed to detect normal, AF, non-AF related other abnormal heart rhythms and noisy recordings based on the combination of deep features and handcraft features. We used Computing in Cardiology Challenge 2017 database as training set and MIT-BIH atrial fibrillation database (AFDB) as test set. The proposed algorithm was achieved an accuracy of 96.3%, F1 of 95.5%, sensitivity of 88.7% and specificity of 99.6% in MIT-BIH AFDB, better than the method which only adopted deep features or handcraft features. Experimental results show that our method would be a good choice for the detection of the AF.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116496658","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}
{"title":"Modelling Effect of Heart Failure on the Electrical Activity of Sheep Atria","authors":"Nouf Alshwaira, Henggui Zhang","doi":"10.22489/CinC.2018.022","DOIUrl":"https://doi.org/10.22489/CinC.2018.022","url":null,"abstract":"Heart failure (HF) is associated with cardiac arrhythmias, which impairs cardiac electromechanics that causes dysfunction of cardiac muscle contraction leading to increased risks of morbidity and mortality. Previous studies have revealed that HF causes alteration to the electrophysiological and structural properties of the atria. The aim of this study was to investigate the primary factor of HF-induced remodelling on the dynamical behaviours of electrical excitation waves in sheep atria. The biophysically detailed model of sheep atrial action potentials developed by Butters et al was modified to incorporate experimental data of HF-induced remodelling on ion channels. The developed atrial cell models in HF were then incorporated into the 3D anatomical sheep atria model developed in our previous study. The 3D model considered both electrical heterogeneity and tissue anisotropy. At the cellular level, HF shortened the action potential duration at 90% of repolarisation (APD90). At 3D organ level, activation time of the whole atria was prolonged due to the downregulation of expression of gap junction proteins (Cx43). Consequently, the wavelength of excitation waves was abbreviated, which may help to sustain re-entrant excitation waves in the atria. This study provides mechanistic insights into the pro-arrhythmic effect of HF-induced remodeling on ion channels, Ca2+ handling and intercellular coupling in the sheep atria.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"120 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113944790","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}
Tim Sodergren, A. Goparaju, A. Morris, E. Kholmovski, N. Marrouche, J. Cates, S. Elhabian
{"title":"Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients","authors":"Tim Sodergren, A. Goparaju, A. Morris, E. Kholmovski, N. Marrouche, J. Cates, S. Elhabian","doi":"10.22489/CinC.2018.377","DOIUrl":"https://doi.org/10.22489/CinC.2018.377","url":null,"abstract":"We have developed computational methods for interactively exploring the shape of the left-atrium in a population of atrial fibrillation patients. We analyze the LA shape through a shape-learning algorithm termed as particle-based modeling (PBM), in which we extract surface contours from a population of images and then parameterize population-level shape statistics through the automatic placement of a dense set of homologous landmark positions (aka correspondences) using an optimization on information content. We then generate a 2-D embedding of the resulting high-dimensional dataset which allows us to visualize the data on a scatter plot, with each data point representing a single sample. This parameterization of the shape characteristics of samples collapsed onto a single plot gives us a visual representation of the population-level morphology of the data. Cardiac MR angiography data from 212 AF patients was collected retrospectively from a database of AF patients at the University of Utah. From the 2-D scatter plot, we were able to interactively select individual samples, view their shapes, and see associated clinical data. We can also map new patients to infer their relations to other patients in the population via querying nearby samples and viewing their clinical data.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"49 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003989","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}
{"title":"Optimization of the O'Hara-Rudy Model of Human Ventricular Action Potential With Respect to Electrolyte Concentrations and Rate Dependence","authors":"C. Bartolucci, Elisa Passini, S. Severi","doi":"10.22489/CinC.2018.333","DOIUrl":"https://doi.org/10.22489/CinC.2018.333","url":null,"abstract":"The “Comprehensive In vitro Proarrhythmia Assay” (CiPA) initiative proposes a new mechanistic, model-informed, approach to cardiac safety assessment of new drugs, an approach made possible by a deeper understanding of the ionic currents that play a role in QTc prolongation and in the development of torsades de pointes (TdP). In defining a new paradigm in the field of cardiac safety the proarrhythmic risk would be primarily assessed using preclinical in vitro and in silico human models. In this scenario the best cellular computer model(s) would have to be selected and if necessary improved. The aim of this study has been the upgrade of the most updated human ventricular cell model in order to: 1) correct its response to [Ca2+]∘changes; 2) replicate the steady state action potential duration (APD) rate dependency and 3) the S1S2 APD restitution. The presented model has been validated against the same experimental data used for the original one, in order to verify its consistency and enforce its integration in the use of in silico models for predicting clinical risk of drug-induced arrhythmias.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227983","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}
{"title":"Testing a Simple Model of the Unipolar Electrogram in the Intact Human Heart and Examples of Applications","authors":"M. Orini, P. Taggart, P. Lambiase","doi":"10.22489/CinC.2018.383","DOIUrl":"https://doi.org/10.22489/CinC.2018.383","url":null,"abstract":"The unipolar electrogram (UEG) is widely used in electrophysiological research and in the cathlab. We aimed to test a previously proposed simple model of the UEG against in-vivo human data and to use the model to investigate: (A) Accuracy of repolarization measurements; (B) Factors affecting UEG substrate mapping and (C) Interactions between APD and UEG T-wave alternans. UEGs were recorded in 10 patients using a multi-electrode sock. Local action potentials showing same activation and repolarization sequence as measured in-vivo were generated using analytical functions. Local UEGs were simulated as the difference between the local action potential and a position-independent component representing remote activity. Morphological correlation between recorded and simulated UEG was cc = 0.92 (0.79 – 0.97) (median Q1-Q3, N = 1, 756). Simulation studies showed: (A) Caution should be used when analyzing biphasic T-waves and T-waves associated with either very early or late repolarization. (B) Substrate mapping using UEG amplitude depends on the activation sequence and its total duration. (C) UEG TWA is not a specific surrogate for local APD alternans as it can be observed in sites without APD alternans due to variations in the remote component. In conclusion, the simple model provides a framework to improve the understanding and clinical utility of the UEG.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621897","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}
F. F. Ijebu, Qince Li, Kuanquan Wang, Haibo Sui, Lufang Zhou, Yong Feng, Henggui Zhang
{"title":"Computational Modelling of Cardiac Metabolism in Atrial Myocytes","authors":"F. F. Ijebu, Qince Li, Kuanquan Wang, Haibo Sui, Lufang Zhou, Yong Feng, Henggui Zhang","doi":"10.22489/CinC.2018.184","DOIUrl":"https://doi.org/10.22489/CinC.2018.184","url":null,"abstract":"In this study, a computational model elucidating effects of cytosolic metabolic processes on cardiac metabolism and excitation-contraction coupling of an atrial cell is developed. Kinetic and thermodynamic rate laws were applied to describe Michaelis-Menten dynamics of metabolites in glycolysis and tricarboxylic acid cycle. Our computational model links cytosolic metabolism to mitochondrial metabolism by passive diffusion and carrier mediated transport using law of mass action, in adherence to the selective permeability of the mitochondrial membrane to metabolites. Simulation results for metabolic substrates in both compartments under control conditions showed stable dynamics for excitation-contraction coupling of the heart. Further simulation of dynamic modulated cardiac workload was consistent with experimental and theoretical expectations of substrate variation under different conditions. The ability of our model to simulate cardiac energy demand-supply balance under varied conditions confirms its strength which can help to further explore mechanisms of the pathology of disease resulted from metabolic dysfunction and discover the possibility of therapeutic intervention.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131338510","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}
{"title":"Mechanism of Sinus Node Dysfunction in Carriers of the E161K Mutation in the SCN5A Gene","authors":"R. Wilders","doi":"10.22489/CinC.2018.267","DOIUrl":"https://doi.org/10.22489/CinC.2018.267","url":null,"abstract":"Heterozygous carriers of the E161K mutation in the SCN5A gene, which encodes the NaV1.5 pore-forming α-subunit of the ion channel carrying the cardiac fast sodium current (INa), show sinus node dysfunction. We assessed the mechanism by which the E161K mutation causes sinus bradycardia and reduces atrial excitability, as well as the potential role of the common H558R polymorphism. To this end, we incorporated reported mutation-induced changes in INa into the recently developed Fabbri-Severi model of a single human sinoatrial node (SAN) cell. The threshold current of the Courtemanche-Ramirez-Nattel human right atrial cell model was used as a measure of atrial excitability. The E161K/H558 mutation significantly increased the cycle length of the SAN cell, in particular under vagal tone. The mutant component of INa was effectively zero, thus slowing diastolic depolarization. Highly similar results were obtained with the E161K/R558 mutation. The E161K mutation increased the threshold stimulus current of the atrial cell by a factor of≈2.2, virtually independent of the H558 or R558 background. We conclude that the E161K mutation underlies the clinically observed sinus node dysfunction. Furthermore, we conclude that the common H558R polymorphism does not significantly alter the effects of the E161K mutation.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473684","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}
A. Rodrigues, A. Petrėnas, Neda Kusleikaite-Pere, P. Laguna, V. Marozas
{"title":"ECG-Based Monitoring of Electrolyte Fluctuations During the Long Interdialytic Interval","authors":"A. Rodrigues, A. Petrėnas, Neda Kusleikaite-Pere, P. Laguna, V. Marozas","doi":"10.22489/CinC.2018.277","DOIUrl":"https://doi.org/10.22489/CinC.2018.277","url":null,"abstract":"Hemodialysis (HD) patients have a higher risk of sudden death due to cardiac arrhythmias, which commonly occur during the long interdialytic interval (LII) as a result of electrolyte fluctuations (EFs). Noninvasive monitoring of EFs would enable restoring normal serum electrolyte levels (SELs) by performing early HD before the onset of arrhythmias. In this study, we propose an ECG-derived descriptor, θ µ, that is noise robust and capable of capturing EFs during HD and the LII. To investigate the variation of θ µ, ECG and blood samples of 3 patients were acquired continuously, starting at Friday's HD and ending at Monday's HD. Results show that the increase of θ µ during Friday's HD is correlated with the decrease of SELs. Moreover, θ µ tends to decrease during the LII (no blood samples were obtained) and further increases during Monday's HD. If results in larger databases are confirmed, θ µ might be suitable for noninvasive monitoring of EFs during the LII.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133028597","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}
M. Chmelevsky, M. Budanova, S. Zubarev, D. Potyagaylo, T. Treshkur, D. Lebedev
{"title":"Clinical Evaluation of Noninvasive ECGI Epi-Endocardial Mapping Accuracy","authors":"M. Chmelevsky, M. Budanova, S. Zubarev, D. Potyagaylo, T. Treshkur, D. Lebedev","doi":"10.22489/CinC.2018.387","DOIUrl":"https://doi.org/10.22489/CinC.2018.387","url":null,"abstract":"Although ECG imaging technology has been in development for many years, the clinical validation of epi-endocardial ECGI mapping has been conducted only on relatively small groups of patients. This study was performed to evaluate epi-endocardial ECGI mapping accuracy for the pacings from implanted pacemakers in a single center single-blind cross-sectional study. Thirty patients with previously implanted pacemakers underwent epi-endocardial ECGI mapping using “Amycard 01C EP Lab” system (EP Solutions SA, Switzerland). The median (25-75% IQR) geodesic distance between noninvasively reconstructed and the reference pacing sites was 8 (5–11) mm for the LV epicardial and 4 (2–6) mm for the RV endocardial pacings. This study showed sufficient accuracy of epi-endocarial ECGI technology to use it in a routine clinical practice for identification of focal arrhythmia sources.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133378649","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}
{"title":"Personalisation of Cellular Electrophysiology Models: Utopia?","authors":"M. Clerx","doi":"10.22489/CinC.2018.063","DOIUrl":"https://doi.org/10.22489/CinC.2018.063","url":null,"abstract":"As cell-level differences from person to person are gaining more attention, the idea of having personalised models of cell electrophysiology is growing ever more attractive. In this paper for the special session “Personalized medicine through integration of imaging and cardiac modeling”, I briefly review the different pathways to personalisation and the challenges they present.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132669986","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}