Variability of the intracardiac electrogram: effect on specificity of tachycardia detection

Correlation has been described as a method of high sensitivity to distinguish ventricular arrhythmias from sinus rhythm but the specificity of this algorithm has not been assessed. Ten patients with a history of chronic ventricular tachycardia were studied. The ventricular endocardial electrogram was recorded during sinus rhythm at rest immediately following exercise and during their clinical ventricular tachycardia. Each complex recorded during these sample periods was correlated with a template constructed during sinus rhythm at rest. Although for each patient the range of correlation values obtained at rest were clearly separated from those obtained during ventricular tachycardia, in 69% of cases there was overlap of the range in sinus tachycardia and ventricular tachycardia.

Temporal electrogram analysis: algorithm development

The automatic discrimination of physiological from pathological tachycardias by rate criteria alone lacks adequate specificity. Tachycardia detection algorithms based upon morphological analysis of the endocardial electrogram have been attributed high specificity although their specificity has not been proven. A previous study had shown temporal electrogram analysis (TEA) to be an algorithm of high sensitivity in the detection of ventricular arrhythmias despite low computational demands. In this study, the specificity and potential for automatic implementation have been assessed. Manual adjustment of thresholds for individual patients gave a maximum potential sensitivity of 97% (26/27 arrhythmias correctly recognized as non-sinus). The use of automatic setting of thresholds reduced sensitivity to 81%. The specificity of the algorithm, as assessed by exercise testing, was only 60%.

Hemodynamic status during famotidine infusion

Histamine H2 antagonists, which reduce gastric acid secretion, are often used in the intensive care setting for the prophylaxis of stress ulcers. This double-blind, placebo-controlled study evaluated hemodynamic parameters in 11 stable, critically ill patients receiving famotidine. Repeated-measures ANOVA demonstrated that famotidine had no significant effect on baseline hemodynamic measurements and that there was no significant difference in hemodynamic values following the famotidine infusion as compared with NaCl 0.9% placebo (p greater than 0.05).

Circadian rhythm of heart rate variability after acute myocardial infarction and its influence on the prognostic value of heart rate variability

This study examined heart rate (HR) variability in patients surviving acute myocardial infarction (AMI) to find the optimum time and duration of recording of the ambulatory electrocardiogram for the prediction of the risk of sudden cardiac death, or serious arrhythmic events, or both. Twenty patients (group I) who initially survived an AMI but later experienced serious events (death or symptomatic sustained ventricular tachycardia) during a 6-month follow-up were compared with 20 patients (group II) who remained free of complications for greater than 6 months after discharge. Groups I and II were matched with regard to age, gender, infarct site, ejection fraction, and beta-blocker treatment. HR variability was assessed in the 24-hour electrocardiograms recorded during the first 2 weeks after an AMI and in various portions of the complete 24-hour recording, with both the beginning and the length of the analyzed portion varied by 20 minutes (a total of 5,113 possibilities). The maximum reduction of HR variability in group I patients was systematically found when assessing HR variability in recordings starting approximately at 6 A.M. and lasting for approximately 8 hours. In the low-risk patient, the diurnal rhythm of HR variability is more marked than in the high-risk patient and the long-term components of HR variability due to the diurnal variation must be included in the measurement of HR variability when using it as a long-term predictor of risk from arrhythmic events after an AMI.

Significance of long term components of heart rate variability for the further prognosis after acute myocardial infarction

STUDY OBJECTIVE

The study examined heart rate variability to find out whether shorter ECG records can predict long term mortality following acute myocardial infarction as efficiently as 24 h recordings.

DESIGN

Heart rate variability was assessed in 24 h electrocardiograms recorded during the first 2 weeks following acute myocardial infarction and in separate 1 h portions of the complete recording. The spectral analysis of complete 24 h records was performed and different short and long term components of heart rate variability were used to distinguish between patients with and without later complications.

SUBJECTS

20 patients who initially survived acute myocardial infarction but later experienced serious events (death or symptomatic sustained ventricular tachycardia) during a 6 month follow up (group I) were compared with 20 patients (group II) who remained free of complications for more than 6 months after discharge and who were matched with group I for age, gender, infarct site, ejection fraction, and beta blocker treatment.

MEASUREMENTS AND MAIN RESULTS

The distinction based on components limited to changes of heart rate within periods less than or equal to 1 h was as significant (p less than 0.001, paired t test) as when using the components limited to changes of periods less than or equal to 10 h. However, heart rate variability of separate 1 h portions of the complete 24 h records differed between the groups significantly only for certain 1 h intervals of the day (the p values varied from 0.2 to 0.0005).

CONCLUSIONS

Whilst the maximum value of short term heart rate variability is sufficient for stratification of the high risk post-myocardial infarction patients, an arbitrarily selected short term ECG recording is unlikely to register the maximum heart rate variability. It is concluded that the heart rate variability assessed from arbitrary 1 h electrocardiographic records is not as prognostically important as the variability estimated from 24 h recordings.

Changes in the distribution of ventricular ectopic beats in long-term electrocardiograms

Only simple methods have been used to assess antiarrhythmic and proarrhythmic effects when comparing baseline and on-therapy Holter recordings taken from the same patient. The paper suggests a new method for definition of these effects based upon comparisons of statistical distributions of ectopic beats. The method is based on multiple random sampling of the recordings and on application of the Smirnov test to compare the samplings. The results of these multiple comparisons are subsequently evaluated using the chi-squared test. An analysis is reported of Holter recordings made on seven patients suffering from ventricular arrhythmia but with anatomically normal heart. In each patient, one baseline recording and one recording on each of three different drugs were made. The results show that the definition of proarrhythmic effects can be partly addressed in a precise mathematical way. The method can also detect a significant change in the character of arrhythmia which can neither be classified as antiarrhythmic nor as proarrhythmic.

Heart rate variability

Reduced heart rate variability carries an adverse prognosis in patients who have survived an acute myocardial infarction. This article reviews the physiology, technical problems of assessment, and clinical relevance of heart rate variability. The sympathovagal influence and the clinical assessment of heart rate variability are discussed. Methods measuring heart rate variability are classified into four groups, and the advantages and disadvantages of each group are described. Concentration is on risk stratification of postmyocardial infarction patients. The evidence suggests that heart rate variability is the single most important predictor of those patients who are at high risk of sudden death or serious ventricular arrhythmias.

Effect of activation sequence on ventricular refractoriness as determined by extrastimuli

STUDY OBJECTIVE

The aim was to determine by the extrastimulus method the effect on the right and left ventricular effective refractory periods of moving the site of the pacing train away from the site of the extrastimulus.

DESIGN

The ventricular effective refractory period was measured at the right and left ventricular apices using pacing trains at two heart rates, delivered to the ipsilateral ventricle, the contralateral ventricle, and the right atrium.

SUBJECTS

Seven patients (six male), mean age 52 years (range 26-75 years), with either documented (six) or suspected (one) ventricular tachycardia were studied. Four had ischaemic heart disease and the remaining three had morphologically normal hearts.

MEASUREMENTS AND MAIN RESULTS

The pacing train and extrastimulus delivered in the right ventricle produced the shortest effective refractory period at both heart rates: 220.8(SD 19) ms and 207.9(16) ms respectively. As the pacing train was moved to the right atrium, the effective refractory period lengthened to 246.4(22) ms and 219.3(20) ms at the two heart rates. There was further lengthening as the site of the pacing train was moved to the left ventricle, to 269.2(20) ms and 240.7(35) ms respectively. The same pattern was observed in the left ventricular effective refractory periods as the pacing train was moved from left ventricle to right ventricle and to right atrium.

CONCLUSIONS

The ventricular effective refractory period lengthens as the site of the pacing train is moved away from the site of the extrastimulus. This may be explained by the effects of the distribution of the pacing energy within the myocardium and by intercellular electrotonic interactions. This has important clinical implications for the arrhythmogenic mechanisms of ventricular tachyarrhythmias.

Termination of macro-reentrant tachycardia by a single extrastimulus delivered during the 'effective' refractory period: a computer modeled 'case report'

A computer model of cardiac excitation sequences was used to reproduce atrioventricular (AV) reentrant tachycardia (AVRT) and its termination by a single 'on-circuit' extrastimulus. The model simulated activation waves revolving along a one-dimensional circular pathway, the portions of which represented the atrial, AV nodal, His-Purkinje, ventricular, and accessory pathway sections of the tachycardia circuit. The modeled pathway was composed of 289 elements. The model distinguished only the depolarised and resting states of constituent elements, but introduced differential refractoriness and conduction velocity for each element. These values approximated the natural situation established in a patient suffering from AVRT associated with the right bundle branch block. The results of the study suggest that: (A) the usual impression of a regular recovery wave and of a regular excitable window moving uniformly along the macro-reentrant circular path is incorrect; (B) during the tachycardia, islands of repolarized cells appear which are surrounded by tissue that is still refractory; (C) an extrastimulus which captures the island of early repolarized tissue may cause an excitation restricted to a small part of the myocardium but the local refractoriness following such an extrastimulus may be sufficient to terminate the tachycardia.

Heart rate variability in relation to prognosis after myocardial infarction: selection of optimal processing techniques

Automatic analysis of heart rate variability from Holter recordings may be invalidated by beat recognition errors and recording artefact, necessitating filtering and editing of the computer-recognized RR interval sequence. Two new methods for heart rate variability analysis have been developed, based on an estimation of the width of the main peak of the frequency distribution curve of the computer-recognized normal-to-normal beat sequence. These methods are independent of a low level of recognition error and artefact, thus removing the need for operator-dependent, time-consuming editing. The value of the new methods (heart variability indices 1 and 2) in identifying patients with serious events (death and symptomatic, sustained documented ventricular tachycardia) during a 6-month follow-up after acute myocardial infarction was assessed in a case-control study comparing 20 patients who had experienced such events (Group I) with 20 patients who, following admission with acute myocardial infarction, had remained free of complications for greater than 6 months after discharge (Group II). Group II was selected to match Group I with regard to age, sex, infarct site, ejection fraction, and beta-blocker treatment. Analysis of the unfiltered computer-recognized normal-to-normal interval sequence showed that heart rate variability indices 1 and 2 were significantly lower (P less than 0.005, P less than 0.002) in those who had experienced events compared with those free from complications. Two other methods of expressing heart rate variability, including the standard deviation method, in combination with four different data-filtering techniques, gave less significant distinction between those with and without events during follow-up. It is concluded that using the methods described, reduced heart rate variability in patients at risk from death or sustained ventricular tachycardia after acute myocardial infarction can be detected automatically from unfiltered Holter tape recordings even in the presence of a low level of beat recognition error and recording artefact.

Mechanism of Wenckebach periods: hypothesis based on computer modeling experiments

Wenckebach periodicity is characterized by progressive lengthening of conduction intervals and by progressive shortening of the intervals between conducted excitations. Although different hypotheses have been suggested to explain the mechanisms of Wenckebach periods, no serious proposition explaining both components of the phenomenon has yet been reported. A computer model simulating detailed mechanisms of excitation transmission and electrotonic interactions between neighboring cardiac cells has been employed to investigate the conduction properties of a one-dimensional cable composed of simulated cells. When introducing gradual prolongation of the recovery phase for the elements in the center of the cable and when incorporating physiologically realistic shapes of premature action potential curves into the simulation experiments, the model was able to reproduce all aspects of Wenckebach periodicity. Systematic evaluation with simulation experiments showed that a shorter duration of premature action potentials (i.e., of action potentials resulting from excitation of a cell before it has been fully repolarized) produced shortening of intervals between conducted excitations during a Wenckebach period.

Long-term spectral analysis of heart rate variability--an algorithm based on segmental frequency distributions of beat-to-beat intervals

Reduced heart rate variability has been reported as a predictor of long-term mortality in recent myocardial infarction patients. However, it has not been systematically investigated whether the reduction in heart rate variability in those post myocardial infarction patients who later suffer death or severe arrhythmias is caused by a reduction of short-term variability of heart rate (such as respiratory arrhythmia) or whether the differences in long term variability (such as diurnal rhythm) are involved. In order to perform such an evaluation, a new algorithm has been developed which permits different wavelength components (including the long-term components due to diurnal rhythm) of heart rate variability to be approximated. In general, the method uses segmental frequency distributions of durations of intervals between successive normal cardiac beats. To assess the spectral components of heart rate variability, a scale of wavelength limits is used and for each limit of this scale, the algorithm excludes the rate changes of wavelength longer than the given bound. The method was applied to the analysis of electrocardiograms recorded in 14 post myocardial infarction patients who later suffered death or ventricular tachycardia, and in 14 other randomly selected patients with an uncomplicated course following acute myocardial infarction. The rate variability spectra obtained for both groups of patients were compared statistically and the results showed that the groups of positive and negative cases were most significantly distinguished when including both short- and long-term components of heart rate variability. Separate evaluation of different wavelength components showed that the very long-term components of heart rate variability were more powerful in distinguishing between positive and negative cases than the short term components.

Computer model of cardiac repolarization processes and of the recovery sequence

A computer model simulating both excitation and recovery processes within a block of heart muscle tissue has been developed and implemented on different IBM PC AT compatible computers. The model incorporates blocks of tissue consisting of several thousand elements and introduces phenomena which are completely or partly omitted in other existing cardiac electrophysiology models. These phenomena include the electric anisotropy of the tissue, different durations of repolarization in different layers of tissue, and the different shapes of action potential which correspond to cells excited when not fully recovered. Implementation of the model on small personal computers requires the use of a special data structure management and an effective algorithmic background. The program of the model is written in PASCAL and uses dynamically allocated data structures and the asynchronous simulation technique of event planing. These techniques are described in detail. The model has been used in various experiments. Results of simulation studies are presented in the form of modeled three-lead electrocardiographic records. The experimental series which are described include basic patterns of regular activation sequences, modeling of premature beats, simulation of effects due to fast pacing, models of ischemia and infarction, simulation of reentry mechanisms with a special reference to the initiation of ventricular fibrillation, and models of late potentials. The future development of more realistic models of the cardiac recovery process is also discussed.

Computer simulation of myocardial fibrillation using a one dimensional model of excitation and recovery processes

A computer model of cardiac excitation sequences and recovery processes has been employed to reproduce chaotic behaviour of the simulated tissue and to investigate how different variables of the model influence the degree of disorganisation in modelled episodes. The model emphasises the electrophysiological features of excitation transmission and repolarisation processes and introduces phenomena which are omitted or seriously simplified in most of the existing models of cardiac tissue electrophysiology. These phenomena include abnormal shapes of action potential curves corresponding to premature excitation of cells which have not fully recovered, excitation transmission based on transmembrane voltages, and the electrotonic interactions between neighbouring cells during their repolarisation phases. The model has been used to examine a one dimensional cable of simulated cells in which a central area with shortened refractoriness was used to enable the "reflection" processes to initiate conduction and repolarisation disturbances. In some cases, the chaotic nature of the reproduced episodes resembled fibrillation myocardium. The degree of the simulated chaos depended on different variables of the model. This study included a systematic evaluation of the influence of the shapes of action potential curves, of the threshold of transmembrane voltages initiating an excitation wave, of the degree of the electrotonic interactions of neighbouring cells, and of various combinations of these variables. The results showed that in this model, the maximum disorganisation was achieved when combining the negative influences of all variables, and that changing the shape of the action potential curves prevented the modelled chaos more fully than changes in the other variables.

Compensating conduction times as a mechanism of alternating reentry tachycardia: computer modelling experiments

This article concerns a currently reported hypothesis explaining the alternations of conduction time during intra atrioventricular (AV) nodal reentrant tachycardia (AVNRT). This hypothesis supposes simple mutual influence of sequences of intranodal conduction during reentry tachycardia that use the same circuit in different tachycardia cycles. It has been suggested that delayed conduction prolongs the recovery time of the circuit, thus making it possible to transmit the excitation wave with a faster speed in the next tachycardia loop; this less delayed loop shortens the recovery interval of the pathway and results in subsequently delayed conduction of the following tachycardia cycle. A computer model simulating intra-AV nodal reentrant conduction was used to imitate and prove this hypotheses. The results are negative, showing that the suggested mechanism is too simplistic and that either the pathophysiologic background of the AVNRT cycle length oscillations must be different or additional phenomena must be considered to improve the hypothesis.

Diagnosis of paced electrocardiograms by inverse computer modeling of pacemaker actions

The explanation and interpretation of ECGs recorded from paced patients may be very difficult because of pacemaker specification, programmed parameters, and idiosyncrasy and also because of hidden interactions between the device and its environment. Moreover, the recent development of very sophisticated pacemakers makes the heart-pacemaker interaction (HPI) difficult to understand even when the recorded ECG is accompanied by an event marker. A computer system providing an automatic analysis of the HPI based on ECG data has been developed and implemented on an IBM PC AT computer. The system evaluates all possible combinations of HPI events and establishes whether they correspond to the pacemaker. The system inputs interactively the description of the pacemaker mode and programming, and the description of the analyzed ECG in the form of timing of "definite" and "possible" sensing events and generator pulses. The computer performs the analysis and establishes whether the device operates correctly within its permitted error. The system has been tested by evaluating different examples of paced ECGs. The presented examples confirm the ability of the system and show the potential for its future clinical use. Future development of the system and the provision of computer support for the understanding of the HPI of complex DDDR pacemakers are discussed.

Computer modeling of cardiac rhythm disturbances and heart-pacemaker interaction

Different computer models have been developed in order to study various aspects of cardiac electrophysiological processes. These models can be classified according to many parameters and also in respect to their application areas. One group of the models is devoted to computer simulation of cardiac rhythm disturbances and to reproduction of interactions between the heart and an artificial pulse generator. This report overviews the recent models of arrhythmias and heart-pacemaker interaction. Special attention is paid to (1) functioning of fundamental model elements, (2) structure of the heart model, (3) pacemaker models, and (4) forms of results offered by simulation experiments. Existing models are classified and compared. To illustrate the medical capability of rhythm and pacemaker models, three computational experiments are presented with model atrioventricular reentry tachycardia and reentry tachycardia mediated by a DDD pacemaker. Future development and utilization of arrhythmia and pacemaker models are briefly discussed.

Modification of the DDD pacing mode to prevent junctional reentry tachycardia: computer modelling experiments

This paper examines the possibility of using short atrioventricular (AV) delay dual chamber pacing to prevent junctional reentry tachycardia mediated by an accessory pathway or by an intra-AV nodal circuit. For this purpose, a clinically realistic computer simulation model of cardiac rhythm and heart-pacemaker interactions has been used. The computational experiments compared the actions of two pacemaker models: (A) a clinically realistic DDD mode operating with quasi-Wenckebach prolongation of the AV delay; and (B) a new modification of the DDD mode introducing independent counters for the atrial and ventricular refractory periods of the heart, and the possibility of instantaneous or shortly delayed atrial pacing triggered by a sensed or paced ventricular event. The pathological phenomena modelled in the experiments simulate different possibilities of tachycardia initiation. These disorders include: (1) single atrial premature beats (APBs), (2) salvos of APBs, (3) closely coupled pairs of APBs, (4) ventricular premature beats initiating an antidromic reentry tachycardia, and (5) ventricular ectopic beats initiating an AV nodal reentry tachycardia. The computational results prove that many possible mechanisms of initiation of junctional reentry tachycardia are beyond the prophylactic capabilities of current sophisticated DDD pacemakers (A). The results also show that the suggested pacing mode (B) improves anti-tachycardia prophylaxis even when responding to complex pathological episodes of the natural cardiac activity. Future development of the suggested mode (B) is discussed.

Theoretical evaluation of the Rosenblueth hypothesis

Rosenblueth's hypothesis states that atrioventricular (AV) nodal conduction delay and Wenckebach periodicity of AV transmission are not due to overall decremental conduction within the AV node but are due to a single step delay which is caused by a special element or layer of the AV nodal tissue. This paper discusses some theoretical considerations which allow detailed evaluation of the original hypothesis. Two artificial conduction structures which incorporate the Rosenblueth phenomenon are presented and tested by theoretical experiments that consider the potential of these structures to produce (a) basic pattern of Wenckebach periods, (b) decremental shortening of RR intervals during Wenckebach periods. These experiments are also employed to test whether or not the Rosenblueth concept can be used to explain (c) appropriate dependence of AV conduction changes on the prematurity of atrial depolarizations, and of (d) alternating cycle lengths such as may be seen with atrioventricular reentrant tachycardia. The results of the theoretical considerations show that the original concept of the Rosenblueth hypothesis is sufficient to explain (a) but it cannot be used for realization of (b), (c) and (d). A modification of the original concept complying with both (a) and (b) is proposed. This modified structure can also reproduce (c), but not simultaneously with (b). The experiments show that anisotropy of intra AV nodal conduction may create an electrophysiological mechanism of single-step delay. Different anisotropic conduction structures have to be considered to reproduce phenomenon (d).

The pacemaker inverse problem--computer diagnosis of paced electrocardiograms

Like the electrocardiographic inverse problem, the object of which is the algorithmical analysis and diagnosis of the electrocardiogram (ECG), the pacemaker inverse problem is the analysis of the ECG in order to establish details of heart-pacemaker interaction (HPI) with special reference to the diagnosis of pacemaker failure. The solution to this problem is of practical importance, since it is often difficult to evaluate such records clinically. The ECG patterns of natural cardiac depolarizations and paced events may not be distinguishable and many combinations of potential pacemaker response must be taken into account. A computer system providing automatic analysis of the HPI, based on ECG data, has been developed and implemented on an IBM PC AT computer. The system uses a complex algorithm which enables the evaluation of all possible combinations of HPI events, and establishes for each of these combinations its correspondence to the specified pacemaker algorithm. The system is written in Pascal and its source text has approximately 11,000 lines. The first version of the system has been tested with algorithms of the dual chamber cardiac pulse generator AUTIMA-II (Telectronics). The interactive input of the system allows the pacemaker algorithm and the ECG, in the form of timing of "definite" and "possible" sensing events and pacemaker pulses, to be specified. The analysis establishes whether the device operates correctly within permitted error. Should one or more correct explanations of the specified case be found, the system prints simplified patterns of the ECG accompanied by a simulated marker channel tracing the possible HPIs.