Computers in cardiology最新文献_第8页

Investigation of the source space of electrocardiography and magnetocardiography using isotropic and anisotropic thorax models 各向同性和各向异性胸腔模型的心电图和心磁图源空间研究

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166819

M. Nalbach, O. Skipa, F. Sachse, O. Dossel

引用次数: 2

Non-invasive assessment of hemodynamics in adolescents with arterial tonometry and Doppler ultrasound during a conventional stress test 在常规的压力测试中，动脉血压计和多普勒超声对青少年血液动力学的无创评估

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166823

K. Matthys, D. Vanhercke, S. Van Aken, K. De Groote, I. Coomans, P. Verdonck

引用次数: 4

Feasibility of atrial activation time imaging 心房激活时间成像的可行性

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166844

F. Hanser, B. Tilg, R. Modre, G. Fischer, B. Messnarz, F. Hintringer, F. Roithinger

引用次数: 2

Need of causal analysis for assessing phase relationships in closed loop interacting cardiovascular variability series 需要因果分析来评估闭环相互作用心血管变异性系列的相位关系

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166707

G. Nollo, L. Widesott, L. Faes, A. Porta, R. Antolini

引用次数: 0

Wavelets extrema representation for QRS-T cancellation and P wave detection 小波极值表示用于QRS-T对消和P波检测

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166701

L. Senhadji, Feng Wang, Alfredo I. Hernández, Guy Carrault

引用次数: 25

Improved discrimination of VT from SVT in dual-chamber ICDs by combined analysis of dual-chamber intervals and ventricular electrogram morphology 联合分析双室间期和心室电图形态，提高双室icd VT与SVT的鉴别

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166721

M.L. Brown, J. Christensen, J. Gillberg

引用次数: 2

Analysis of non-invasively recorded His-Purkinje signals from patients with myotonic muscular dystrophy 肌强直性肌营养不良患者无创记录的His-Purkinje信号分析

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166766

H. Park, W. Groh, W. Combs, E. Berbari

{"title":"Analysis of non-invasively recorded His-Purkinje signals from patients with myotonic muscular dystrophy","authors":"H. Park, W. Groh, W. Combs, E. Berbari","doi":"10.1109/CIC.2002.1166766","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166766","url":null,"abstract":"This study presents several new approaches to analyze the non-invasively recorded His-Purkinje system (HPS) signals from patients with myotonic muscular dystrophy. A high resolution electrocardiogram based on signal averaging to improve the signal-to-noise ratio(SNR) is a well established means to record HPS potentials. These new approaches used methods to temporally and spectrally separate the HPS potentials from the P wave potentials. These included both physiologically based and signal processing based schemes. Separating or shifting the P wave from the HPS potentials using heart rate dependent averaging and the addition of several highpass filtering methods proved somewhat, but not totally successful. In the group of patients with sequential recordings over a period of two years the progression of their muscular dystrophy may also be seen in the heart as well. This may then produce noticeable progressive trends or changes in their HPS waveforms over time. The most noticeable changes found in this study were temporal changes and morphological changes of the HPS activity of these patients over time.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"293-296"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166766","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180514","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

Decision fusion of micro-variability and signal averaged ECG parameters from the QRS complex with RBF networks 基于RBF网络的微变异性与信号平均心电参数的决策融合

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166767

H. Kestler, A. Muller, V. Hombach, J. Wohrle, O. Grebe, G. Palm, M. Moher, F. Schwenker

{"title":"Decision fusion of micro-variability and signal averaged ECG parameters from the QRS complex with RBF networks","authors":"H. Kestler, A. Muller, V. Hombach, J. Wohrle, O. Grebe, G. Palm, M. Moher, F. Schwenker","doi":"10.1109/CIC.2002.1166767","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166767","url":null,"abstract":"Two types of measurements are usually performed from high resolution ECG recordings: (a) static parameters derived from the signal-averaged QRS complex and (b) variant markers derived from beat-to-beat recordings. It is known that an increased QRS micro-variability and ventricular late potentials are associated with an increased risk for malignant arrhythmias. However, the diagnostic power of the singular parameters is limited In this study we investigated the diagnostic ability of a decision fusion of both variant and static high-resolution ECG parameters with radial-basis-function (RBF) networks. Continuous and signal-averaged ECGs were recorded from 51 healthy volunteers without any structural heart disease and no cardiac risk factors and from 44 patients with coronary heart disease and ventricular arrhythmias. Beat-to-beat micro-variability measurement of the QRS complex and the ST-T segment was based on 250 consecutive sinus beats per individual. Signal-averaged ECGs were analyzed with the Simson method (QRSD, RMS, LAS). Two RBF networks were trained One on the three signal averaged parameters and one with the 141D variability vector The two soft decisions from each RBF network were then combined by average fusion and maximum detection into a final crisp decision which resulted in an unusually high discriminative accuracy.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"297-300"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166767","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180568","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

A real time QRS complex classification method using Mahalanobis distance 基于马氏距离的QRS实时复杂分类方法

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166742

J. Moraes, M.O. Seixas, F.N. Vilani, E.V. Costa

引用次数: 63

Low-voltage defibrillation in bidomain virtual ventricular tissue: effect of the bath 低压除颤在双域虚拟心室组织中的作用

Computers in cardiology Pub Date : 2002-09-22 DOI: 10.1109/CIC.2002.1166756

O. Aslanidi, O. Mornev, A. Holden

引用次数: 3