Heart and aortic baroreceptors: operation in providing hemodynamic processes in cardiovascular system

被引:9
作者
Rudenko, Mikhail Y. [1 ]
Zernov, Vladimir A. [1 ]
Mamberger, Konstantin K. [1 ]
Rudenko, Sergey M. [1 ]
机构
[1] Russian New Univ, 22 Radio St, Moscow 105005, Russia
关键词
Cardiovascular system; ECG; Cardiac cycle; Baroreceptors; Hemodynamics;
D O I
10.12710/cardiometry.2013.3.3144
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Aims Up to the present, ECGs have been classified on the basis of the analysis of the ECG curve shape. But this made impossible to classify many ECG shapes. The most promising methods for the classification must evaluate each of the 10 cardiac cycle phases both by their functions and hemodynamic parameters. The aim hereof is to develop the new classification principles for all possible ECG shape variations. Materials and methods The heart cycle phase analysis method is used to calculate the hemodynamic parameters in each of 10 phases, like the phase-related blood volumes and the level of contraction of the corresponding cardiovascular musculature determining its function dynamics in the cardiac cycle phase structure related to the compensation mechanism for maintaining normal hemodynamics. Results An ECG phase changes periodic table consisting of 10 groups of the actual ECG curves typical for the corresponding pathologies is proposed. Each group contains 4 levels of characteristic phase changes. Conclusion The ECG phase changes periodic table is the first attempt to classify the great variety of the ECG shapes. In this case the proposed system requires further investigations. It has been demonstrated that the theoretical concept of the table is in compliance with practice. Further it is planned to improve characteristics of every group and every level.
引用
收藏
页码:31 / 44
页数:14
相关论文
共 10 条
[1]  
Dushanin SA, 1984, ADV METHODS INVESTI
[2]   Secondary flow structures under stent-induced perturbations for cardiovascular flow in a curved artery model [J].
Glenn, Autumn L. ;
Bulusu, Kartik V. ;
Shu, Fangjun ;
Plesniak, Michael W. .
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2012, 35 :76-83
[3]   Recommendations for the standardization and interpretation of the electrocardiogram - Part I: The electrocardiogram and its technology - A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society - Endorsed by the International Society for Computerized Electrocardiology [J].
Kligfield, Paul ;
Gettes, Leonard S. ;
Bailey, James J. ;
Childers, Rory ;
Deal, Barbara J. ;
Hancock, E. William ;
van Herpen, Gerard ;
Kors, Jan A. ;
Macfarlane, Peter ;
Mirvis, David M. ;
Pahlm, Olle ;
Rautaharju, Pentti ;
Wagner, Galen S. .
CIRCULATION, 2007, 115 (10) :1306-1324
[4]   The ((chaos theory)) and nonlinear dynamics in heart rate variability analysis: Does it work in short-time series in patients with coronary heart disease? [J].
Krstacic, Goran ;
Krstacic, Antonija ;
Smalcelj, Anton ;
Milicic, Davor ;
Jembrek-Gostovic, Mirjana .
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY, 2007, 12 (02) :130-136
[5]   Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy [J].
Krstacic, Goran ;
Parati, Gianfranco ;
Gamberger, Dragan ;
Castiglioni, Paolo ;
Krstacic, Antonija ;
Steiner, Robert .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2012, 50 (10) :1037-1046
[6]   Knowledge-based ECG interpretation: a critical review [J].
Kundu, M ;
Nasipuri, M ;
Basu, DK .
PATTERN RECOGNITION, 2000, 33 (03) :351-373
[7]  
Luo S, 2011, J ELECTROCARDIOL, V44, P746
[8]   Psychophysiology of arterial baroreceptors and the etiology of hypertension [J].
Rau, H ;
Elbert, T .
BIOLOGICAL PSYCHOLOGY, 2001, 57 (1-3) :179-201
[9]  
Rudenko M. Y., THEORETICAL PRINCIPL
[10]  
Rudenko MY, 2012, HEART RHYTHM, V9, P1909, DOI DOI 10.1016/J.JELECTROCARD.2013.09.016