Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287)最新文献

Left ventricular geometry immediately following defibrillation-strength shocks 除颤强度电击后立即左心室几何形状

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-12-01 DOI: 10.1109/CIC.2001.977636

Venkat Ramanathan, Bodo Hoffmeister, A. L. Jongh

引用次数: 0

Reproducibility of echocardiographic left ventricular function assessment by an automated technique 超声心动图左心室功能评估的可重复性自动化技术

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977682

G. Longobardi, D. Vitale, G. Furgi, G. Santopietro, Q. Bosco, A. Nicolino, C. Picone, F. Rengo

引用次数: 0

On the numerical analysis of coronary artery wall shear stress 冠状动脉壁剪切应力的数值分析

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977618

Berent J. B. M. Wolters, C. Slager, F. Gijsen, J. J. Wentze, R. Krams, F.N. van de Vossel

引用次数: 9

Myofiber orientation in the normal and infarcted heart, assessed with MR-diffusion tensor imaging 用磁共振弥散张量成像评估正常和梗死心脏的肌纤维定向

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977732

L. Geerts-Ossevoort, P. Bovendeerd, F. Prinzen, T. Arts, K. Nicolay

{"title":"Myofiber orientation in the normal and infarcted heart, assessed with MR-diffusion tensor imaging","authors":"L. Geerts-Ossevoort, P. Bovendeerd, F. Prinzen, T. Arts, K. Nicolay","doi":"10.1109/CIC.2001.977732","DOIUrl":"https://doi.org/10.1109/CIC.2001.977732","url":null,"abstract":"Cardiac fiber orientation is one of the main determinants of fiber stress and strain during ejection. We measured fiber orientation using magnetic resonance diffusion tensor imaging (MR-DTI). Traditional methods to quantify the cardiac fiber field rely on the definition of the coordinate system. We propose to use the entity 'divergence' for characterization of the continuity of the myocardial fiber structure. The divergence is a scalar quantity with a value that is independent of the actual choice of the coordinate system. Moreover, the divergence value of the fiber field expresses the degree of uniformity of stress along the fiber direction. The divergence of the myofiber field appeared to be <0.08 mm/sup -1/ in the mid-wall for all normal hearts. At the insertion sites of the papillary muscles and the anterior RV (right ventricle) fusion site, the divergence of the fiber field is elevated to values above 0.3 mm/sup -1/. In the infarcted hearts, divergence values in the unaffected tissue are similar to the values observed in healthy hearts. In and adjacent to the infarcted region, no significant differences in the divergence values were observed. This indicates that continuity of the fiber structure remains preserved in the presence of a transmural myocardial infarction.","PeriodicalId":359432,"journal":{"name":"Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117212325","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: 8

Deconvolution and causality for 1:1 arrhythmia discrimination in dual chamber defibrillator 双室除颤器1:1心律失常判别的反褶积及因果关系

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977644

J. Rojo-álvarez, F. Atienza, N. Martínez-Alzamora, Á. Arenal-Maíz, J. Pineiro-Ave, Antonio Artés-Rodríguez

{"title":"Deconvolution and causality for 1:1 arrhythmia discrimination in dual chamber defibrillator","authors":"J. Rojo-álvarez, F. Atienza, N. Martínez-Alzamora, Á. Arenal-Maíz, J. Pineiro-Ave, Antonio Artés-Rodríguez","doi":"10.1109/CIC.2001.977644","DOIUrl":"https://doi.org/10.1109/CIC.2001.977644","url":null,"abstract":"Automatic recognition of 1:1 ventricular tachycardia (VT) from supraventricular tachycardia (SVT) in dual chamber implantable cardioverter defibrillator (ICD) is still an open issue. A new criterion is proposed, based on the modelling of a causal versus an anti-causal relationship between the atrial and the ventricular ICD stored electrograms (EGM). A cardiac activation model is presented, consisting on (a) a pulsed activation in the atria, (b) two impulse responses modelling the atrial and the ventricular depolarization, and (c) a filter describing the atrio-ventricular (AV) propagation delay. A minimum absolute error algorithm is developed, basing on template generation, deconvolution, stochastic gradient descent and projection onto convex sets. Examples of the algorithm when fitting the model to sinus rhythm (SR), SVT and VT records are employed. The algorithm is shown to be robust in the delay-filter order choice. We propose this method as a promising framework to design low computational burden 1:1 SVT-VT discrimination algorithms.","PeriodicalId":359432,"journal":{"name":"Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703428","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

Independent autonomic modulation of the sinoatrial and atrioventricular nodes assessed through RR and PR interval variation 通过RR和PR间期变化评估窦房结和房室结的独立自主调节

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977627

C. Heneghan, R. Shouldice, P. Nolan, E. Sheridan, M. O'Malley, P. Nolan, J. Cullen, W. McNicholas

引用次数: 1

Automatic detection of slow-wave-sleep using heart rate variability 使用心率变异性自动检测慢波睡眠

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977725

Z. Shinar, A. Baharav, Y. Dagan, S. Akselrod

引用次数: 29

Model based signal characterisation for long-term personal monitoring 基于模型的长期个人监测信号表征

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977680

M. Paoletti, C. Marchesi

引用次数: 4

Some important R-R interval based paroxysmal atrial fibrillation predictors 一些重要的基于R-R间期的阵发性心房颤动预测因子

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977679

G. Krstačić, D. Garnberger, T. Šmuc, A. Krstačić

引用次数: 14

Prediction of paroxysmal atrial fibrillation by footprint analysis 用足迹分析预测阵发性心房颤动

Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) Pub Date : 2001-09-23 DOI: 10.1109/CIC.2001.977677

A. Yang, H. Yin

{"title":"Prediction of paroxysmal atrial fibrillation by footprint analysis","authors":"A. Yang, H. Yin","doi":"10.1109/CIC.2001.977677","DOIUrl":"https://doi.org/10.1109/CIC.2001.977677","url":null,"abstract":"This study presents a simple algorithm named footprint analysis to predict risk and onset of paroxysmal atrial fibrillation (PAF) from single channel surface electrocardiogram. The approach is based on hypothesis that subject who has risk of PAF would display a specific pattern in change of heart rate and could be applied as a predictor to identify the risk and onset of PAF. To quantify patterns of heart rate dynamics, the triplet codes (0, 1, 2) is assigned according to difference of adjacent R-R intervals to represent equal, acceleration, and deceleration of successive RR intervals, respectively. A R-R interval series is then continuously weighted by a 7 heartbeats window, which results in a set of 6-bits number. Each number represents a specific pattern of heart rate dynamics. The strategies for both events of competition are to determine which number has higher possibility to be present in PAF patients, and to identify the number that only present before onset of PAF. A set of number determined by the algorithm from learning dataset was then applied as footprint to the testing dataset. Score for event 1 was 33/50 (entry 20010422.030701) and score for event 2 was 38/50 (CinC Challenge 2001 entry 20010423.045638, entrant 2). The successful of this algorithm is to find hidden pattern embedded in the highly dimensional phase space of R-R intervals. We look forward to understanding the link between microscopic variation in R-R intervals and macroscopic physiologic conditions.","PeriodicalId":359432,"journal":{"name":"Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841801","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: 29