- Open Access
- Open Peer Review
State diagrams of the heart – a new approach to describing cardiac mechanics
© Larsson et al; licensee BioMed Central Ltd. 2009
- Received: 03 March 2009
- Accepted: 27 May 2009
- Published: 27 May 2009
Cardiac time intervals have been described as a measure of cardiac performance, where prolongation, shortening and delay of the different time intervals have been evaluated as markers of cardiac dysfunction. A relatively recently developed method with improved ability to measure cardiac events is Tissue Doppler Imaging (TDI), allowing accurate measurement of myocardial movements.
We propose the state diagram of the heart as a new visualization tool for cardiac time intervals, presenting comparative, normalized data of systolic and diastolic performance, providing a more complete overview of cardiac function. This study aimed to test the feasibility of the state diagram method by presenting examples demonstrating its potential use in the clinical setting and by performing a clinical study, which included a comparison of the state diagram method with established echocardiography methods (E/E' ratio, LVEF and WMSI). The population in the clinical study consisted of seven patients with non ST-elevation myocardial infarction (NSTEMI) and seven control subjects, individually matched according to age and gender. The state diagram of the heart was generated from TDI curves from seven positions in the myocardium, visualizing the inter- and intraventricular function of the heart by displaying the cardiac phases.
The clinical examples demonstrated that the state diagram allows for an intuitive visualization of pathological patterns as ischemia and dyssynchrony. Further, significant differences in percentage duration between the control group and the NSTEMI group were found in eight of the totally twenty phases (10 phases for each ventricle), e.g. in the transition phases (Pre-Ejection and Post-Ejection). These phases were significantly longer (> 2.18%) for the NSTEMI group than for the control group (p < 0.05). No significant differences between the groups were found for the established echocardiography methods.
The test results clearly indicate that the state diagram has potential to be an efficient tool for visualization of cardiac dysfunction and for detection of NSTEMI.
- Left Ventricular Ejection Fraction
- Ventricular Ejection
- Tissue Doppler Image
- Annulus Fibrosis
- State Diagram
Cardiac time intervals have been described as a measure of cardiac performance and as a tool to help understand and illustrate the mechanics of the heart. Prolongation, shortening and delay of the different time intervals have been evaluated as markers of cardiac dysfunction [1, 2]. Methods to measure the time intervals in the cardiac cycle include electrocardiography , phonocardiography , apexcardiography , and echocardiography . A relatively recently developed method with improved ability to measure cardiac events is Tissue Doppler Imaging (TDI), which allows for accurate measurement of cardiac phases generated by movement of the myocardium . Different approaches of dividing the cardiac cycle into phases have been reported in the literature [8–11]. In a TDI-velocity curve, the most common way is to divide systole into two phases and diastole into four phases. The systolic phases are the isovolumic contraction time (IVCT) and the ejection phase, whereas the diastolic phases are the isovolumic relaxation time (IVRT), the early diastolic filling, the diastase and the late diastolic filling (atrial contraction) .
We propose the state diagram of the heart as a new visualization tool for cardiac time intervals, presenting comparative, normalized data of systolic and diastolic performance, providing a more complete overview of cardiac function . This tool is based on a long period of research concerning the heart working according to a novel pump principle referred to as the Dynamic Displacement Pump (DDP) [13–15]. With this pump principle and new definitions of the cardiac phases it is possible to visualize the hearts mechanical function as state diagrams. According to the DDP-principle, the heart pumps with the back and forth going movements of a piston-like unit, referred to as the dome-shaped AV-piston, which is divided into a left and a right AV-piston by the inter-ventricular septum (IVS). The common AV-piston consists of the ring of annulus fibrosis with its four valves and the dome-shaped muscular tissue of the ventricles in connection to the ring of annulus fibrosis. When the AV-pistons are drawn towards the apex of the heart and the blood in the ventricles is forced into the pulmonary and systemic circulation, they will at the same time by suction create an inflow to the atria. The dome-shaped parts of the AV-pistons that border to the surroundings of the heart and the areas that are generated by the orifices of the outflow vessels will by motions of the AV-pistons generate extracardiac volume changes. These volumes are partly responsible for the hydraulic return of the pistons and the more or less continuous inflow to the heart .
State diagrams are used to describe the behaviour of systems, often applicable in technical systems in order to explain and simplify the way the system operates. This study is the first attempt, in a comprehensive work, to present the function of the right and left side of the heart using state diagrams. The work has, in particular, focused on rational ways to find the mechanical criteria for how the heart goes from one state to the next, which defines the regional and global function of the heart. The duration of the different cardiac states, heart phases, are presented in the state diagram. The primary aim of the study was to test the feasibility of the state diagram method by performing a clinical study, which included a comparison of the state diagram method with established echocardiography methods, and by presenting clinical examples demonstrating its potential use in the clinical setting.
The state diagrams were generated from myocardial velocity curves recorded by TDI. Image acquisition was performed in the left lateral decubitus position using a Vingmed System Vivid 7 (GE Vingmed Ultrasound, Horten, Norway) with a standard 2D transducer (M3S) or a 3D matrix transducer (3V) for triplane imaging. Images were obtained in three imaging planes: apical long-axis (APLAX), apical four-chamber (4CH) and apical two-chamber (2CH) and were imported to EchoPAC Dimension (GE Vingmed Ultrasound, Horten, Norway). In the two-dimensional gray scale image with superimposed colour Doppler, a circular region of interest (ROI) with a diameter of 4 mm was positioned in the basal segment of the antero-septal, anterior, antero-lateral, infero-lateral, inferior, infero-septal (left ventricle) and medial wall (right ventricle, 4CH view). The mean velocity curve for each ROI, in total seven, was stored digitally in a format compatible with Matlab R2006b, where the software was developed. The study has been carried out in accordance to the declaration of Helsinki and ethical approval was obtained from the local ethics committee. All participants gave informed consent.
Definition of cardiac phases
Pre-Ejection was defined as the time interval between the first zero-crossing in the tissue velocity curve after the R-wave in the ECG-curve and the zero-crossing after the typical biphasic pattern with a negative and a positive velocity spike, which are involved in the closure of the inlet valves. This occurs at the ascending limb of the tissue velocity curve at the beginning of Ventricular Ejection, see Figure 1a. In cases with only one ascending zero-crossing during Pre-Ejection, the start- and endpoints were defined as illustrated in Figure 1b and 1c.
Ventricular Ejection was defined as the time interval between the end of Pre-Ejection and of the start of the Post-Ejection phase. Early Ventricular Ejection was defined as the first acceleration phase lasting until the largest derivative change in the ascending limb of the tissue velocity curve. Late Ventricular Ejection was defined as starting with the largest derivative change in the descending limb of the tissue velocity curve. The time between early and late Ventricular Ejection was called mid Ventricular Ejection.
Post Ejection was defined as the time interval between the zero-crossing of the descending limb of the systolic tissue velocity curve and the zero-crossing after the biphasic movements with a negative and a positive velocity spike, which are involved in the closing procedure of the outlet valves, see Figure 1a. In cases with only one descending zero-crossing during the Post-Ejection phase, the start- and endpoints were defined as illustrated in Figure 1b and 1c.
Rapid Filling was defined as the time between the endpoint of Post-Ejection and the time point when the velocity derivative shifts from a positive value to a value close to zero. The phase was divided into an early and a late part by the minimum velocity value during this phase.
Slow Filling was defined as the time from the end of Rapid Filling until the start of Atrial Contraction.
Atrial Contraction was defined as starting with the largest decline in the tissue velocity curve occurring in connection to the P-wave in the ECG. The end point equalled the start of the Pre-Ejection phase for the next cardiac cycle. The Atrial Contraction was divided into an early and a late phase with the minimum velocity value as the dividing event.
Visual interpretation of the state diagram
Demonstration of clinical examples
ASA, Clopidogrel, betablocker, statin, calcium antagonist
Smoker, hypertension, hyperlipidemia
ASA, ACE1, Clopidogrel, betablocker, statin, calcium antagonist, diuretics
ASA, Clopidogrel, betablocker, statin
ASA, Clopidogrel, betablocker, statin
ASA, Clopidogrel, statin,
ASA, Clopidogrel, betablocker, statin, ACE-inhibitor,
ASA, Clopidogrel, betablocker, statin, ACE-inhibitor, Metforminen, Glibenclamide
Ex-smoker, hypertension, diabetes II
ASA, ACE1, betablocker, calcium antagonist, metformine
Talidomide, steroids, ASA
Diabetes II, Bypass 2004
Statin, betablocker, calcium antagonist, metformine
Hypertension, liver cirrosis
Conventional two-dimensional echocardiography and colour TDI images were recorded for both groups. Images were obtained at rest as described above with a standard 2D transducer (M3S) with a frame rate of the TDI data varying between 100 and 150 frames/s. The flow velocity (E) and the mean tissue velocity (E') of the early diastolic inflow in the septal and lateral corner of the mitral annulus were used for calculation of the E/E' ratio. Left ventricular Ejection Fraction (LVEF) was measured with the biplane Simpson's method and wall motion score index (WMSI) was performed by an experienced stress echo reader. State diagrams for each subject were generated with the software developed in Matlab, see above for more details.
All statistical analysis was performed using standard statistical software (SPSS version 16.0). For the individually matched couples, a paired t-test was performed to test the difference in percentage duration of each phase in the global state diagram (control-NSTEMI). A total of twenty phases were tested, ten in the left ventricle and ten in the right ventricle. A paired t-test was also used to test the difference in E/E' ratio, LVEF and WMSI between the groups.
For the totally twenty phases in the state diagram, significant differences in percentage duration between the control group and the NSTEMI group were found in eight. When the values were positive, the percentage duration was longer for the control group than for the NSTEMI group. In the late Atrial Contraction, significant differences were found for both ventricles, 2.27% SD 1.5 (p = 0.008) for the left ventricle and 2.40% SD 1.6 (p = 0.007) for the right ventricle. The difference in percentage duration of Pre-Ejection was significant in both ventricles, -3.52% SD 1.5 (p = 0.001) and -2.18% SD 2.2 (p = 0.041) for the left and the right ventricle, respectively. The difference in percentage duration for mid Ventricular Ejection in the right ventricle was 2.09% SD 2.1 (p = 0.038) and for Post-Ejection, -2.70% SD 2.5 (p = 0.029) for the left and -2.94% SD 1.5 (p = 0.002) for the right ventricle. For early Rapid Filling in the left ventricle the difference in percentage duration was 1.65% SD 1.5 (p = 0.026).
Comparison of mean percentage duration (%) in cardiac phases between the NSTEMI group and the control group
NSTEMI group mean (SD)
Control group mean (SD)
Difference mean (SD)
NSTEMI group mean (SD)
Control group mean (SD)
Difference mean (SD)
Early Ventricular Ejection
Mid Ventricular Ejection
Late Ventricular Ejection
Early Rapid Filling
Late Rapid Filling
Early Atrial Contraction
Late Atrial Contraction
2.27 (1.5) **
Comparison of echocardiographic variables between the NSTEMI group and the control group
NSTEMI group mean (SD)
Control group mean (SD)
Difference mean (SD)
This study was an attempt to test the clinical feasibility of the state diagram as a visualization tool for cardiac mechanics. The state diagram was designed to present the mechanics of both the left and the right side of the heart since they each have an AV-piston. The myocardium is the power source for the pumping function. It has a flexible structure with a constant volume, which means that generation and release of tension forces within the myocardium can occur with low or no external volume changes, i.e. changes of the epicardial borders . The myocardium has to build up enough tension before there can be any flow out of the ventricle and must then release this tension before the filling of the ventricles can occur. The global function of the heart, represented by the global state diagram, results in flow and pressures into and out of the right and left side of the heart. The global function is dependent on many complex regional functions and external conditions. The fact that the heart has to build up and release enough tension before there can be any large flow or pressure changes partly explains why there is a time delay between different regional muscular movements and global events. The regional velocity curves can either be an active movement contributing to the global function or passive, i.e. as a result of movements occurring at other sites in the heart. In this way the velocity curves contain both events useful to generate the global state diagram from the right and left ventricles and events to create local state diagrams that depict the local functions at different sites of the two ventricles.
The phases in the state diagram have been defined in accordance with the DDP-principle in order to illustrate the mechanics of the heart, and henceforth the heart will be described as a DDP. Since the motion of the AV-pistons largely represents the mechanics of the heart, the myocardial velocities were chosen to be measured in the basal segments of the heart, near the AV-pistons. The crucial task for the heart is to preserve flow and muscle dynamics throughout the cardiac cycle and to keep a constant inflow to the heart when the AV-pistons have to be accelerated, retarded and change direction. The more or less constant inflow to the heart is achieved by suction of blood into the atria during Ventricular Ejection and continuous need of further inflow during the hydraulic return of the AV-piston during Rapid and Slow Filling.
Motion shifts of the piston associated with opening and closing of the valves are critical events that affect the performance of the heart. These events have in this study been included in the phases Pre-Ejection and Post-Ejection, names which refer to their close link to the beginning and ending of Ventricular Ejection. Pre-Ejection and Post-Ejection differ from the traditionally defined isovolumic phases by including volume redistributions between the atria, the ventricles and its outlets. During Atrial Contraction, the AV-pistons are drawn towards the inlet areas of the atria, the base of the heart, whereas during Pre-Ejection they are drawn towards the apex of the heart [17, 18]. This will result in rearrangement of blood volumes from the atria to the ventricles during Atrial Contraction and in the reverse direction during Pre-Ejection. In this way the stroke-length of the AV-pistons can increase and the closure of the tricuspid and mitral valves can occur with small disturbances in the inflow to the heart.
Events connected to Pre-Ejection and Post-Ejection are considered to result from pre- and postsystolic reshaping of the muscles in the ventricles . Pre-Ejection was defined starting with the beginning of the closure of the tricuspid and the mitral valves, i.e. the generation of muscle tension and blood volume redistributions. This phase ends with a powerful tension increase that initiates the opening of the pulmonic and aortic valves. Observe that the flow out of the valves does not occur at this time point but in early Ventricular Ejection. Post-Ejection starts when the pulmonic and aortic valves are about to close, just before a backflow into the ventricles is generated. The forces of the backflow overcome the tension in the muscles and the ventricular volumes increase. This phase ends when the rapid relaxation starts and the tricuspid and the mitral valve are about to open, i.e. the muscle tension decreases which enables the returning action of the AV-pistons. This means that the flow over the tricuspid and mitral valves starts first during early Rapid Filling. Pre-Ejection, Ventricular Ejection and Post-Ejection in the regional and global state diagrams are according to these definitions different to what is commonly used when describing the isovolumic contraction and relaxation phases and the ejection. The phases Ventricular Ejection, Rapid Filling and Atrial Contraction were divided into subphases to improve the diagnostic power of the state diagram, as these subphases can provide further visual information concerning contractility of the heart muscles and flow and pressure conditions in the heart and its inlets and outlets.
The results of this study show that the state diagram has potential to be used for visualization of various cardiac dysfunctions. It also demonstrates the state diagram to be a more sensitive tool for detection of NSTEMI compared to other established echocardiographic variables such as E/E' ratio, LVEF and WMSI, since no significant differences were found in these variables. Moreover, it must be considered that the state diagram method had the ability to separate the groups, even though the control group demonstrated some clinical features. The novelty with this method is the visualization by presenting a clear overview of cardiac mechanics according to the DDP-principle. With this approach it is possible to create a state diagram, which allows for evaluation of parallel information by displaying the relationships between different phases in the cardiac cycle.
Though the state diagram method is based on TDI, its accuracy and reproducibility can be compared with the accuracy and the reproducibility established for TDI. TDI has been validated and a reasonably good reproducibility has been found [20, 21]. However, the accuracy and reproducibility of the state diagram method has to be further addressed in future studies. Additionally, in comparison with methods quantifying cardiac function through single amplitude values of e.g. displacement, velocity and strain, the timing information used in the state diagram would most likely be less sensitive to noise, angular errors and filtering effects. The state diagram as a diagnostic tool could presumably be improved in future versions by extending it to contain information about, for example, stroke-length, auto-regulating functions of IVS , flows and pressures.
The pre- and postsystolic phases, called Pre-Ejection and Post-Ejection in this study, are important considerations when evaluating cardiac function and the prolongation of these time intervals are associated with systolic and diastolic ventricular dysfunction [22–24]. The results of the clinical study showed significantly prolonged Pre-Ejection and Post-Ejection for the NSTEMI subjects compared to the control subjects (p < 0.05), which has been quantitatively and fractionally presented in the state diagram in Figure 4. This is also clearly seen in the clinical examples in Figure 3, when comparing the Pre-Ejection and Post-Ejection for the healthy subject and the athlete with the diseased ones. One reason behind the short Post-Ejection phase noticed in the athlete in Figure 3b could be that an athlete has high persisting flow in the outflow vessels towards the end of Ventricular Ejection, which will reduce the pressure inside the ventricles, and thus the tension in the ventricular muscles, thereby shortening Post-Ejection. These dynamic features are also observed in the DDP and, in general shorter Pre-Ejection and Post-Ejection improve the dynamics in the heart, which could be an explanation for the improved ejection fraction seen in well-trained athletes .
Furthermore, the clinical examples of the ischemic and the dyssynchronic subjects indicate that the state diagram can detect and display regional heart muscle disturbances such as infarcted and ischemic movement patterns and dyskinetic functions of the muscle cells. Ventricular dyssynchrony disturbs the synchronous pumping and relaxation function of the heart leading to a reduced diastolic filling time and a post-systolic regional contraction , two factors that are easily detected in the state diagram. Coronary blood flow is impeded during systole which makes the duration of diastole an important determinant of myocardial perfusion. Adjustment of the diastolic time fraction has been proposed as a protective intervention to preserve coronary blood flow . In left ventricular dyssynchrony, the regions with a dyssynchronic contracting myocardium pattern can be identified and the obtained information could potentially improve the selection of patients referred to cardiac resynchronization therapy. The state diagram acquired in the subject with dyssynchrony, Figure 3d, clearly visualizes how regional functions create impacts on all the phases in the global state diagram. A prolonged Post-Ejection, usually referred to as diastolic dysfunction in individuals with dyssynchroni disorders , can by visualization with the state diagram, be proven to originate from dyssynchrony occurring before this phase. Another reason for the prolonged Post-Ejection seen in the dyssyncronic subject, the ischemic subject and the NSTEMI-group could be low flow and high pressures in the outflow vessels towards the end of Ventricular Ejection, which would sustain the tension in the ventricular muscles and prolong the Post-Ejection. The significant difference between the groups found in late Atrial Contraction and early Rapid Filling indicates that muscular tension patterns differ between the groups. Indeed, previous studies have shown that degeneration of the elastic properties of the ventricles provokes a restrictive ventricular filling pattern characterized by a shortened early diastolic mitral flow deceleration time . The corresponding time in the myocardial velocity curve is visualized in the state diagrams, giving an impression of the receiving performance of the ventricles. In cases with normal right atrial pressure, pulmonary artery systolic pressure (PASP) has been shown to correlate well with IVRT measured in the right ventricular free wall . That IVRT is sensitive to changes in PASP should be considered when evaluating the right ventricular information in the state diagram.
Care must be taken when interpreting the results since the number of patients included in the study was small. The state diagrams for the patients in the clinical study and for the ischemic clinical example were generated using a 2D transducer. A 2D transducer renders the state diagrams dependent on recording conditions since the timing, based on velocities from different cardiac cycles, is displayed simultaneously. This is negligible in most cases since the beat-to-beat differences during an examination are small. In addition, the differences in heart rate between each NSTEMI patient and the matched control might have affected the results of the clinical study. However, these differences were not systematic and had most likely only a moderate influence on the results.
The test results clearly indicate that the state diagram is feasible in the clinical setting and has potential to be an efficient tool for visualization of cardiac dysfunction and for use in the detection of NSTEMI. However, larger population studies are needed to further test the feasibility of state diagrams in this regard.
This project was supported by the Swedish Heart-Lung Foundation.
- Weissler AM, Harris WS, Schoenfeld CD: Systolic Time Intervals in Heart Failure in Man. Circulation. 1968, 37: 149-159.View ArticlePubMedGoogle Scholar
- Sogaard P, Egeblad H, Pedersen AK, Kim WY, Kristensen B, Hansen PS, Mortensen PT: Sequential Versus Simultaneous Biventricular Resynchronization for Severe Heart Failure. Evaluation by Tissue Doppler Imaging. Circulation. 2002, 106: 2078-2084. 10.1161/01.CIR.0000034512.90874.8EView ArticlePubMedGoogle Scholar
- Lindstrom E, Farde L, Eberhard J, Haverkamp W: QTc interval prolongation and antipsychotic drug treatments: focus on sertindole. Int J Neuropsychopharmacol. 2005, 8: 615-629. 10.1017/S1461145705005250View ArticlePubMedGoogle Scholar
- Erne P: Beyond auscultation – acoustic cardiography in the diagnosis and assessment of cardiac disease. Swiss Med Wkly. 2008, 138 (31–32): 439-452.PubMedGoogle Scholar
- Tafur E, Cohen LS, Levine HD: The Normal Apex Cardiogram – Its Temporal Relationship to Electrical, Acoustic, and Mechanical Cardiac Events. Circulation. 1964, 30 (381): 381-391.View ArticlePubMedGoogle Scholar
- Lind B, Nowak J, Cain P, Quintana M, Brodin L-Å: Left ventricular isovolumic velocity and duration variables calculated from colour-coded myocardial velocity images in normal individuals. Eur J Echocardiogr. 2004, 5: 284-293. 10.1016/j.euje.2003.11.007View ArticlePubMedGoogle Scholar
- Brodin L-Å: Tissue Doppler, a fundamental tool for parametric imaging. Clin Physiol Funct Imaging. 2004, 24: 147-155. 10.1111/j.1475-097X.2004.00542.xView ArticlePubMedGoogle Scholar
- Opie L: The cardiac cycle. Heart Disease A textbook of Cardiovasular Medicine. 2001, 462-475. Philadelphia, USA: W.B Saunders Company, 6Google Scholar
- Sutherland GR, Hatle L, Claus P, Herbots K, Šeparović J: Normal Data. Doppler Myocardial Imaging – A textbook. 2006, 49-102. Hasselt, Belgium: BSWK, 1Google Scholar
- Widmaier EP, Raff H, Strang KT: Mechanical events of the cardiac cycle. Vander, Sherman & Luciano's Human Physiology: The mechanisms of body function. 2004, 390-394. New York, USA: Mc Graw Hill Higher Education, 9Google Scholar
- Moladoust H, Mokhtari-Dizaji M, Ojaghi-Haghighi Z, Noohi F, Khajavi A: Frame rate requirement for tissue Doppler imaging in different phases of cardiac cycle: radial and longitudinal functions. Int J Cardiovasc Imaging. 2008, 24: 377-387. 10.1007/s10554-007-9271-3View ArticlePubMedGoogle Scholar
- Lundbäck S: State machine interface system. WO 2007/142594. 2007Google Scholar
- Lundbäck S: Cardiac Pumping and Function of the Ventricular Septum. 1986, Stockholm, Sweden: Karolinska Institute, SödersjukhusetGoogle Scholar
- Lundbäck S: Pump with continuous inflow and pulsating outflow. WO/1987/001769. Sweden: . 1987Google Scholar
- Lundbäck S: A heart cluster state machine simulating the heart. WO/2006/080887. Sweden: PCT/SE2006/000114. 2006Google Scholar
- Carlsson M, Ugander M, Mosén H, Buhre T, Arheden H: Atrioventricular plane displacement is the major contributor to left ventricular pumping in healthy adults, athletes, and patients with dilated cardiomyopathy. Am J Physiol Heart Circ Physiol. 2007, 292: 1452-1459. 10.1152/ajpheart.01148.2006.View ArticleGoogle Scholar
- Lindström L, Wranne B: Pulsed tissue Doppler evaluation of mitral annulus motion: a new window to assessment of diastolic function. Clin Physiol. 1999, 19: 1-10. 10.1046/j.1365-2281.1999.00137.xView ArticlePubMedGoogle Scholar
- Wandt B, Bojö L, Wranne B: Influence of body size and age on mitral ring motion. Clin Physiol. 1997, 17: 635-646. 10.1046/j.1365-2281.1997.00065.xView ArticlePubMedGoogle Scholar
- Garcia MJ, Rodriguez L, Ares M, Griffin BP, Klein AL, Stewart WJ, Thomas JD: Myocardial wall velocity assessment by pulsed Doppler tissue imaging: Characteristic findings in normal subjects. Am Heart J. 1996, 132 (3): 648-656. 10.1016/S0002-8703(96)90251-3View ArticlePubMedGoogle Scholar
- Saha S, Nowak J, Storaa C, Mädler C, Fraser A, Roumina S, Lind B, Brodin L: Functional diagnosis of coronary stenosis using tissue tracking provides best sensitivity and specificity for left circumflex disease: experience from the MYDISE (myocardial Doppler in stress echocardiography) study. European Journal of Echocardiography. 2005, 6 (1): 54-63. 10.1016/j.euje.2004.07.003View ArticlePubMedGoogle Scholar
- Wu Y, Irvine T, Mori Y, Li X, Sahn D: In vitro validation of tissue Doppler left ventricular regional wall velocities by using a novel balloon phantom. Journal of Tongji Medical University. 2001, 21 (4): 337-340.View ArticlePubMedGoogle Scholar
- García-Fernández MA, Azevedo J, Moreno M, Bermejo J, Pérez-Castellano N, Puerta P, Desco M, Antoranz C, Serrano JA, García E, et al.: Regional diastolic function in ischaemic heart disease using pulsed wave Doppler tissue imaging. Eur Heart J. 1999, 20 (7): 496-505. 10.1053/euhj.1998.1278View ArticlePubMedGoogle Scholar
- Hayashi S, Rohani M, Lindholm B, Brodin L, Lind B, Barany P, Alvestrand A, Seeberger A: Left ventricular function in patients with chronic kidney disease evaluated by colour tissue Doppler velocity imaging. Nephrol Dial Transplant. 2006, 21 (1): 125-132. 10.1093/ndt/gfi075View ArticlePubMedGoogle Scholar
- Hirschfeld S, Meyer R, Korfhagen J, Kaplan S, Liebman J: The isovolumic contraction time of the left ventricle. An echographic study. Circulation. 1976, 54 (5): 751-756.View ArticlePubMedGoogle Scholar
- Sundstedt M, Jonason T, Ahrén T, Damm S, Wesslén L, Henriksen E: Left ventricular volume changes during supine exercise in young endurance athletes. Acta Physiol Scand. 2003, 177 (4): 467-472. 10.1046/j.1365-201X.2003.01098.xView ArticlePubMedGoogle Scholar
- Søgaard P, Egeblad H, Kim WY, Jensen HK, Pedersen AK, Kristensen BØ, Mortensen PT: Tissue Doppler imaging predicts improved systolic performance and reversed left ventricular remodeling during long-term cardiac resynchronization therapy. J Am Coll Cardiol. 2002, 30: 723-730. 10.1016/S0735-1097(02)02010-7.View ArticleGoogle Scholar
- Merkus D, Kajiya F, Vink H, Vergroesen I, Dankelman J, Goto M, Spaan JAE: Prolonged Diastolic Time Fraction Protects Myocardial Perfusion When Coronary Blood Flow Is Reduced. Circulation. 1999, 100: 75-81.View ArticlePubMedGoogle Scholar
- Wang J, Kurrelmeyer K, Torre-Amione G, Nagueh S: Systolic and diastolic dyssynchrony in patients with diastolic heart failure and the effect of medical therapy. J Am Coll Cardiol. 2007, 49 (1): 88-96. 10.1016/j.jacc.2006.10.023View ArticlePubMedGoogle Scholar
- Møller JE, Søndergaard E, Poulsen SH, Egstrup K: Pseudonormal and Restrictive Filling Patterns Predict Left Ventricular Dilation and Cardiac Death After A First Myocardial Infarction: A Serial Color M-Mode Doppler Echocardiographic Study. J Am Coll Cardiol. 2000, 36: 1841-1846. 10.1016/S0735-1097(00)00965-7View ArticlePubMedGoogle Scholar
- Lindqvist P, Waldenström A, Wikström G, Kazzam E: Right ventricular myocardial isovolumic relaxation time and pulmonary pressure. Clin Physiol Funct Imaging. 2006, 26 (1): 1-8. 10.1111/j.1475-097X.2005.00639.xView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.