2020 Computing in Cardiology最新文献_第10页

Knowledge-Based QRS Detection Performed by a Cascade of Moving Average Filters 基于知识的QRS检测由级联的移动平均滤波器执行

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.175

L. Bachi, L. Billeci, M. Varanini

引用次数: 1

Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble 使用梯度增强树集合的多标签12导联心电图分类

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.128

A. W. Wong, Weijie Sun, S. Kalmady, P. Kaul, Abram Hindle

引用次数: 3

Relationship Between Atrial Oscillatory Acetylcholine Release Pattern and f-wave Frequency Modulation: a Computational and Experimental Study 心房振荡乙酰胆碱释放模式与f波调频的关系:计算与实验研究

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.303

Chiara Celotto, C. Sánchez, Konstantinos A. Mountris, Mostafa Abdollahpur, Frida, Sandberg, P. Laguna, E. Pueyo

{"title":"Relationship Between Atrial Oscillatory Acetylcholine Release Pattern and f-wave Frequency Modulation: a Computational and Experimental Study","authors":"Chiara Celotto, C. Sánchez, Konstantinos A. Mountris, Mostafa Abdollahpur, Frida, Sandberg, P. Laguna, E. Pueyo","doi":"10.22489/CinC.2020.303","DOIUrl":"https://doi.org/10.22489/CinC.2020.303","url":null,"abstract":"The frequency of fibrillatory waves (f-waves), Ff, exhibits significant variation over time, and previous studies suggest that some of this variation is related to respiratory modulation through the autonomic nervous system. In this study, we tested the hypothesis that this variation (ΔFf) could be related to acetylcholine concentration ([ACh]) release pattern. Electrocardiograms were recorded from seven patients during controlled respiration before and after full vagal blockade, from which f-wave frequency modulation was characterized. Computational simulations in human atrial tissues were performed to assess the effects of [ACh] release pattern on Ff and compared to experimental results in humans. A cross-stimulation protocol was applied onto the tissue to initiate a rotor while cyclically varying [ACh] following a sinusoidal waveform of frequency equal to 0.125 Hz. Different mean levels (0.05, 0.075μM/l) and peak-to-peak ranges (0.1, 0.05, 0.025 μM/l) of [ACh] variation were tested. In all patients, an f-wave frequency modulation could be observed. In 57% of the patients, this modulation was significantly reduced after vagal blockade. Simulations confirmed that rotor frequency variations followed the induced [ACh] patterns. Mean Ff was dependent on mean [ACh] level, whileΔFfwas dependent on [ACh] variation range.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123971395","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}

引用次数: 4

Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation 肢体与心前心电图导联作为持续性心房颤动电转复结果的改进预测指标

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.373

E. M. Cirugeda-Roldán, S. Calero, A. Quesada, V. M. Hidalgo, J. J. Rieta, R. Alcaraz

{"title":"Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation","authors":"E. M. Cirugeda-Roldán, S. Calero, A. Quesada, V. M. Hidalgo, J. J. Rieta, R. Alcaraz","doi":"10.22489/CinC.2020.373","DOIUrl":"https://doi.org/10.22489/CinC.2020.373","url":null,"abstract":"Electrical cardioversion (ECV) is an effective and low-cost rhythm control strategy for persistent atrial fibrillation (AF). Because of its limited mid- and long-term success rates, prediction of early failure could avoid patients with reduced chance to maintain sinus rhythm (SR). To this end and due to its proximity to the right atrium, several indices characterizing atrial activity have been proposed based on lead V1. However, information from other leads has been discarded to date. Hence, this work studies how effective some common indices computed over the whole set of 12 standard ECG leads are in predicting ECVout-come. Precisely, amplitude, dominant frequency, and sample entropy were computed from the fibrillatory (f -) waves extracted for each one of 12 standard leads acquired before ECV from 58 patients in persistent AF. The classification between the patients who relapsed to AF and maintained sinus rhythm after a follow-up of 4 weeks achieved by these parameters was better from limb lead II than from V1, thus reporting improvements about 6 and 12%. As a consequence, characterization of f-waves from the more accessible limb lead II has proven to be the best choice to improve AF ECV outcome prediction from the ECG.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071094","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}

引用次数: 0

Telehealth Services for Home-based Rehabilitation of Cardiac Patients 心脏病人家庭康复的远程保健服务

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.150

D. Hayn, M. Sareban, Alphons Eggerth, M. Falgenhauer, Angelika Rzepka, Heimo Traninger, K. Mayr, M. Philippi, M. Porodko, C. Puelacher, S. Höfer, J. Niebauer

{"title":"Telehealth Services for Home-based Rehabilitation of Cardiac Patients","authors":"D. Hayn, M. Sareban, Alphons Eggerth, M. Falgenhauer, Angelika Rzepka, Heimo Traninger, K. Mayr, M. Philippi, M. Porodko, C. Puelacher, S. Höfer, J. Niebauer","doi":"10.22489/CinC.2020.150","DOIUrl":"https://doi.org/10.22489/CinC.2020.150","url":null,"abstract":"Cardiovascular diseases (CVD) are the leading cause of death in the Western world. Several modifiable risk factors contribute to the pathogenesis of CVD which are all addressed during cardiac rehabilitation (CR). CR is conducted in three phases: I: acute care hospital, II: subsequent in- or outpatient CR, and III: out-patient CR with focus on lifelong prevention. Despite its proven merits, the adherence to healthy lifestyle changes following completion of CR phase II is challenging. This gap is addressed in recent recommendations, suggesting that clinicians should help patients to set personal goals to i) achieve and maintain the benefits of physical activity, ii) include physical activity into their daily routine and iii) overcome barriers to exercise, to achieve behavior change more effectively and more sustainably. We have developed tele-rehabilitation services to support patients during home-based exercise training in CR phase III Our services provide a link between CR experts and patients by means of individualized exercise prescription supported by different kinds of wearables for measuring e.g. physical activity volume. The effectiveness of such services and other supportive measures regarding adherence to home training plans and changes in exercise capacity during CR phase III CR is currently evaluated in a study.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752166","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}

引用次数: 1

An End-to-end Deep Learning Scheme for Atrial Fibrillation Detection 心房颤动检测的端到端深度学习方案

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.106

Yingjie Jia, Haoyu Jiang, Ping Yang, Xianliang He

{"title":"An End-to-end Deep Learning Scheme for Atrial Fibrillation Detection","authors":"Yingjie Jia, Haoyu Jiang, Ping Yang, Xianliang He","doi":"10.22489/CinC.2020.106","DOIUrl":"https://doi.org/10.22489/CinC.2020.106","url":null,"abstract":"The aim of this study was the detection of atrial fibrillation (AF) from continuous ECG analysis. In this study, an end-to-end deep learning scheme was proposed. When the scheme was applied, 30-second multi-lead ECG data segments with an overlapping window of 5 seconds were preprocessed and sequentially fed into a multi-layer residual convolutional neural network (CNN) to extract ECG's multi-scale local morphological (spatial) features, The generated local spatial features were then processed by the following two bidirectional long short-term memory (LSTM) layers, and the output sequences of the LSTM layers were then weighted by an attention module and processed by a following dense network to complete AF detection. Finally, the sequential detection results were further processed to improve accuracy. To demonstrate its effectiveness, the proposed scheme was trained and tested on multiple ECG databases annotated by cardiologists. Episode and duration accuracies were calculated according to the performance evaluation method of atrial fibrillation detection defined in the EC57 standard [1]. An episode F1 score of 85.7% and a duration F1 score of 95.5% were achieved on the independent testing dataset.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984899","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}

引用次数: 1

The Comparison Between Two Mathematical Contractile Elements Integrated into an hiPSC-CM In-silico Model 集成在hiPSC-CM芯片模型中的两种数学收缩元件的比较

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.055

Mohamadamin Forouzandehmehr, Nicolò Cogno, Jussi T. Koivumäki, J. Hyttinen, M. Paci

{"title":"The Comparison Between Two Mathematical Contractile Elements Integrated into an hiPSC-CM In-silico Model","authors":"Mohamadamin Forouzandehmehr, Nicolò Cogno, Jussi T. Koivumäki, J. Hyttinen, M. Paci","doi":"10.22489/CinC.2020.055","DOIUrl":"https://doi.org/10.22489/CinC.2020.055","url":null,"abstract":"Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a valuable tool for in vitro drug testing and disease studies. As contractility has become one of the main experimental outputs, hiPSC-CMs in silico models should also feature the mechanisms of force generation. Thus, we integrated two contractile elements (CE), Rice2008 and Negroni2015, into Paci2020 hiPSC-CM model. The simulated force-Ca2+ relationships from skinned versions of the CEs revealed rather close pCa50 values for both CEs: 6.17 and 6.10, respectively for Rice2008 and Negroni2015. However, Hill's coefficients for the two curves were 7.30 and 3.6. The relationships agreed with in vitro data from human engineered heart tissues. Most of the biomarkers measured from simulated spontaneous action potentials (APs) and Ca2+ transients (CaTs) showed good agreement with in vitro data for both CEs. The active peak force observed in paced conditions (1 Hz) and at extracellular Ca2+ concentration ([Ca2+]o) of 1.8 mM was 0.011 nM/mm2 for Paci2020+Rice2008 and 0.57 mN/mm2 for Paci2020+Negroni2015. These values match, qualitatively with the 0.26 mN/mm2 peak force reported previously in vitro at [Ca2+]o=1.8 mM Our results set an opening to develop more sophisticated hiPSC-CM models featuring both electrophysiology and biomechanics.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116030701","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}

引用次数: 2

Investigating Strain as a Biomarker for Atrial Fibrosis Quantified by Patient Cine MRI Data 研究菌株作为患者MRI数据量化心房纤维化的生物标志物

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.212

A. Qureshi, Aditi Roy, H. Chubb, A. Vecchi, O. Aslanidi

{"title":"Investigating Strain as a Biomarker for Atrial Fibrosis Quantified by Patient Cine MRI Data","authors":"A. Qureshi, Aditi Roy, H. Chubb, A. Vecchi, O. Aslanidi","doi":"10.22489/CinC.2020.212","DOIUrl":"https://doi.org/10.22489/CinC.2020.212","url":null,"abstract":"Atrial fibrillation (AF) is responsible for deterioration of left atrial (LA) mechanical function. Sinus rhythm (SR) can be restored by terminating AF using catheter ablation (CA) therapy. CA often targets fibrotic tissue by creating scar tissue which is similar to fibrosis. We propose the use of myocardial strain to identify regions of fibrosis and understand its role in atrial mechanics. Patient-specific LA models were reconstructed from Cine and Late Gadolinium Enhanced (LGE) MRI data for two groups of patients: AF and SR pre-CA. LGE intensities represented atrial fibrosis and feature-tracking was applied on the Cine images to produce a series of 3D deforming LA meshes. The myocardial area strain (MAS) was calculated as a measure of regional contractile ability. 24 regions of clinical interest were assigned for inter- and intra-patient comparisons on the effects of CA and fibrosis on LA mechanical function. Correlation was found between low strain and dense fibrosis in the LA posterior wall for both patient groups (rs = −0.74). MAS increased (8.9%) after CA in the AF group but decreased (10%) in the SR group. This study suggests that myocardial strain can be used as a biomarker for atrial fibrosis and also identifies the detrimental effect of intentional CA-induced damage to the LA on its mechanical function.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286200","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}

引用次数: 2

openCARP: An Open Sustainable Framework for In-Silico Cardiac Electrophysiology Research openCARP:一个开放的可持续的计算机心脏电生理研究框架

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.111

Jorge Sánchez, Mark Nothstein, A. Neic, Yung-Lin Huang, A. Prassl, J. Klar, Robert Ulrich, Felix Bach, Philipp Zschumme, M. Selzer, G. Plank, E. Vigmond, G. Seemann, A. Loewe

{"title":"openCARP: An Open Sustainable Framework for In-Silico Cardiac Electrophysiology Research","authors":"Jorge Sánchez, Mark Nothstein, A. Neic, Yung-Lin Huang, A. Prassl, J. Klar, Robert Ulrich, Felix Bach, Philipp Zschumme, M. Selzer, G. Plank, E. Vigmond, G. Seemann, A. Loewe","doi":"10.22489/CinC.2020.111","DOIUrl":"https://doi.org/10.22489/CinC.2020.111","url":null,"abstract":"openCARP is an open cardiac electrophysiology simulator, released to the community to advance the computational cardiology field by making state-of-the-art simulations accessible. It aims to achieve this by supporting self-driven learning. To this end, an online platform is available containing educational video tutorials, user and developer-oriented documentation, detailed examples, and a question-and-answer system. The software is written in C++. We provide binary packages, a Docker container, and a CMake-based compilation workflow, making the installation process simple. The software can fully scale from desktop to high-performance computers. openCARP runs nightly tests to ensure the consistency of the simulator based on predefined reference solutions, keeping a high standard of quality for all of its components. Additionally, sustainability is achieved through automated continuous integration to generate not only software packages, but also documentation and content for the community platform. Furthermore, carputils provides an environment for users to create complex, multi-scale simulations that are shareable and reproducible. In conclusion, openCARP is a tailored software solution for the scientific community in the cardiac electrophysiology field and contributes to increasing use and reproducibility of in-silico experiments.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303017","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}

引用次数: 7

Classification of 12-lead ECGs Using Intra-Heartbeat Discrete-time Fourier Transform and Inter-Heartbeat Attention 利用心跳内离散时间傅里叶变换和心跳间注意对12导联心电图进行分类

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.307

Ibrahim Hammoud, I. Ramakrishnan, P. Djurić

引用次数: 0