2022 Computing in Cardiology (CinC)最新文献_第4页

The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models 患者心房模型左心房壁厚度和曲率对壁应变的影响

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.243

T. Baptiste, Angela W. C. Lee, M. Strocchi, Charles Sillett, D. Ennis, U. Haberland, R. Rajani, A. Rinaldi, S. Niederer

{"title":"The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models","authors":"T. Baptiste, Angela W. C. Lee, M. Strocchi, Charles Sillett, D. Ennis, U. Haberland, R. Rajani, A. Rinaldi, S. Niederer","doi":"10.22489/CinC.2022.243","DOIUrl":"https://doi.org/10.22489/CinC.2022.243","url":null,"abstract":"Fibrosis is thought to be a major contributor to atrial fibrillation. Strain is a potential signal for fibrosis in the left atrium (LA). Local strain can be impacted by local anatomy. This study investigated correlation of local strain magnitude with local anatomy described by curvature and wall thickness. We created $3D$ motion models of the LA from retrospective gated computed tomography images from 8 patients. We calculated wall thickness and endocardial curvature across the LA at end-diastole $(ED)$ then calculated LA endocardial area strain throughout the cardiac cycle, using the $ED$ frame as the reference. The average Pearson's correlation of end-systolic strain with inverse wall thickness and curvature was - $0.076pm0.095$ and 0.01 $7pm0.81$ respectively. The correlations between inverse wall thickness, curvature and the first four principal components of strain showed no greater dependence of strain on wall thickness or curvature. The LA was divided into 18 regions and correlation was calculated regionally. Regionally, the range of correlation of strain at ES with thickness and curvature was $(-0.58-0.43)$ and $(-0.49-0.47)$ respectively. Neither wall thickness nor curvature appear to strongly influence strain. This is consistent with either boundary forces acting on the atria or variations in regional stiffness impacting regional differences in strain.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114498163","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

Depressed Patients Identification Using Cardiovascular Signals 利用心血管信号识别抑郁症患者

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.308

Mohammad Sami Zitouni, A. Khandoker

引用次数: 0

Equivalent Dipole Trajectories Assessed from the 12-Lead ECG Using a Tailored Human Torso Model 使用量身定制的人体躯干模型评估12导联心电图的等效偶极子轨迹

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.289

V. Starc

引用次数: 1

Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation 纤维化边界区特征对房颤纤维化-底物分离消融结果的影响

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.218

S. Ogbomo-Harmitt, A. Qureshi, A. King, O. Aslanidi

引用次数: 0

Probabilistic Dominant Frequency Estimation in AF From ECGI 基于ECGI的AF的概率优势频率估计

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.362

"Carlos Fambuena Santos, I. Hernández-Romero, C. Herrero Martín, Jana Reventós Presmanes, Eric Invers Rubio, L. Mont, Andreu M. Climent, Maria de la Salud Guillem Sánchez"

引用次数: 0

Diffusion Reaction Eikonal Alternant Model: Towards Fast Simulations of Complex Cardiac Arrhythmias 扩散反应负向交替模型:迈向复杂心律失常的快速模拟

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.054

C. B. Espinosa, Jorge Sánchez, O. Doessel, A. Loewe

{"title":"Diffusion Reaction Eikonal Alternant Model: Towards Fast Simulations of Complex Cardiac Arrhythmias","authors":"C. B. Espinosa, Jorge Sánchez, O. Doessel, A. Loewe","doi":"10.22489/CinC.2022.054","DOIUrl":"https://doi.org/10.22489/CinC.2022.054","url":null,"abstract":"Reaction-diffusion (RD) computer models are suitable to investigate the mechanisms of cardiac arrthymias but not directly applicable in clinical settings due to their computational cost. On the other hand, alternative faster eikonal models are incapable of reproducing reentrant activation when solved by iterative methods. The diffusion reaction eikonal alternant model (DREAM) is a new method in which eikonal and RD models are alternated to allow for reactivation. To solve the eikonal equation, the fast iterative method was modified and embedded into DREAM. Obtained activation times control transmembrane voltage courses in the RD model computing, while repolarization times are provided back to the eikonal model. For a planar wave-front in the center of a 2D patch, DREAM action potentials (APs) have a small overshoot in the upstroke compared to pure RD simulations (monodomain) but similar AP duration. DREAM conduction velocity does not increase near boundaries or stimulated areas as it occurs in RD. Anatomical reentry was reproduced with the S1-S2 protocol. This is the first time that an iterative method is used to solve the eikonal model in a version that admits reactivation. This method can facilitate uptake of computer models in clinical settings. Further improvements will allow to accurately represent even more complex patterns of arrhythmia.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124073595","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

Non-Invasive Atrial Fibrillation Driver Localization Using Recurrent Neural Networks and Body Surface Potentials 基于循环神经网络和体表电位的无创心房颤动驱动定位

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.163

"Miriam Gutiérrez Fernández-Calvillo, Miguel Ángel Cámara-Vázquez, I. Hernández-Romero, Maria de la Salud Guillem Sánchez", Andreu M. Climent, Ó. Barquero-Pérez

引用次数: 0

Murmur Detection and Clinical Outcome Classification Using a VGG-like Network and Combined Time-Frequency Representations of PCG Signals 基于vgg样网络和PCG信号时频联合表征的杂音检测和临床结果分类

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.318

Zhongrui Bai, Baiju Yan, Xiang-Xiang Chen, Yirong Wu, Peng Wang

引用次数: 1

The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation 评价阵发性心房颤动导管消融后基底改变的p波时域显著特征

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.011

Aikaterini Vraka, V. Bertomeu-González, L. Sörnmo, Roberto Zangróniz, R. Alcaraz, J. J. Rieta

{"title":"The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation","authors":"Aikaterini Vraka, V. Bertomeu-González, L. Sörnmo, Roberto Zangróniz, R. Alcaraz, J. J. Rieta","doi":"10.22489/CinC.2022.011","DOIUrl":"https://doi.org/10.22489/CinC.2022.011","url":null,"abstract":"The outcome of catheter ablation (CA) of atrial fibrillation (AF) is vastly analyzed by the entire P-wave duration (PWD). However, the first and second P-wave parts, corresponding to right (RA) and left atrial (LA) wavefront propagation, may be unequally modified. Five-minute lead II recordings before and after the first-ever CA of 40 parox-ysmal AF patients were analyzed and P-wave features were calculated: $PWD_{on-off}$ of the entire P-wave and each P-wave part $(RA:PWD_{on-peak}, LA:PWD_{peak-off})$ and the time from P-wave onset or offset to the R-peak $(PWD_{on-R}$ and $PWD_{off-R}$, respectively). Heart-rate (HR) adjustment $(HRA)$ mitigated the HR fluctuations. Prelpost-CA comparison was performed with Mann-Whitney U-test and median values were calculated. Pearson's correlation was calculated between PWD and the remaining features. The effect of CA with $(Delta$: −17.96%) or without HRA $(Delta$: −9.84%) was significant at the entire $PWD_{on-off}$ and at the $PWD_{peak-off}(HRA:Delta$: −27.77%, no HRA: $Delta$: −22.03%). $PWD_{on-off}$ showed a stronger correlation with RA than $LA(rho_{max}=0.805 vs rho_{max}=0.541)$. P-wave features corresponding to RA are more strongly related to the entire P-wave. Nevertheless, only the P-wave part associated with LA is significantly affected by CA. That being so, studies are encouraged to incorporate part-time P-wave analysis.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"30 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503099","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

Uncoupling Between Heart Rate Variability and Heart Rate During Exercise and Recovery as a Predictor of Cardiovascular Events 运动和恢复期间心率变异性和心率之间的不耦合作为心血管事件的预测因子

2022 Computing in Cardiology (CinC) Pub Date : 2022-09-04 DOI: 10.22489/CinC.2022.229

"Michele Orini, S. van Duijvenboden, J. Ramírez, A. Tinker, P. Munroe, P. Lambiase

{"title":"Uncoupling Between Heart Rate Variability and Heart Rate During Exercise and Recovery as a Predictor of Cardiovascular Events","authors":"\"Michele Orini, S. van Duijvenboden, J. Ramírez, A. Tinker, P. Munroe, P. Lambiase","doi":"10.22489/CinC.2022.229","DOIUrl":"https://doi.org/10.22489/CinC.2022.229","url":null,"abstract":"Heart rate (HR) variability (HRV) is a non-invasive cardiac autonomic marker, which, in normal conditions, is inversely associated with the underlying HR. This study investigates the hypothesis that uncoupling between HRV and HR during exercise and recovery may indicate increased cardiovascular risk. UK Biobank participants without underlying cardiovascular disease (n =48,671, 46.3% male 56.3±8.2 years old) underwent an ECG exercise stress test. Uncoupling between HR and HRV was measured as v = 1 - rHR,HRV, where r indicates the Spearman's correlation coefficients between the HR profile and the instantaneous HRV power. Cox regressions were used to assess the association between the uncoupling index, v, and major adverse cardiovascular events (MACE). Models were adjusted for age, sex, body mass index, blood pressure, resting HR, HR increase and decrease during exercise and recovery, respectively. During a median follow-up of 10 years, incidence of MACE was 2.9%. In the adjusted model, 1 standard deviation increase in log-transformed v was associated with MACE, with hazard ratio (95% confidence interval) = 1.09 (1.03, 1.15), p=0.004. In conclusion, in middle-aged man and women without underlying cardiovascular disease, the uncoupling between HR and HRV during exercise and recovery was associated with MACE.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129954621","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