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Localization of significant coronary arterial narrowings using body surface potential mapping during exercise stress testing.

The ability of body surface potential mapping to localize coronary arterial narrowings during exercise stress testing was investigated. An array of 48 chest wall electrodes, simultaneously recorded, was used. Digital filtering and signal processing, data reduction techniques and discriminant analysis were applied to process the information. Forty patients whose coronary angiograms showed a single significant narrowing of either the left anterior descending or right coronary artery were selected for further study. On the basis of body surface potential mapping, the site of coronary arterial narrowing was correctly classified in 88% of the patients.

Coronary Disease↗

Mining for diagnostic information in body surface potential maps: a comparison of feature selection techniques.

BACKGROUND: In body surface potential mapping, increased spatial sampling is used to allow more accurate detection of a cardiac abnormality. Although diagnostically superior to more conventional electrocardiographic techniques, the perceived complexity of the Body Surface Potential Map (BSPM) acquisition process has prohibited its acceptance in clinical practice. For this reason there is an interest in striking a compromise between the minimum number of electrocardiographic recording sites required to sample the maximum electrocardiographic information. METHODS: In the current study, several techniques widely used in the domains of data mining and knowledge discovery have been employed to mine for diagnostic information in 192 lead BSPMs. In particular, the Single Variable Classifier (SVC) based filter and Sequential Forward Selection (SFS) based wrapper approaches to feature selection have been implemented and evaluated. Using a set of recordings from 116 subjects, the diagnostic ability of subsets of 3, 6, 9, 12, 24 and 32 electrocardiographic recording sites have been evaluated based on their ability to correctly asses the presence or absence of Myocardial Infarction (MI). RESULTS: It was observed that the wrapper approach, using sequential forward selection and a 5 nearest neighbour classifier, was capable of choosing a set of 24 recording sites that could correctly classify 82.8% of BSPMs. Although the filter method performed slightly less favourably, the performance was comparable with a classification accuracy of 79.3%. In addition, experiments were conducted to show how (a) features chosen using the wrapper approach were specific to the classifier used in the selection model, and (b) lead subsets chosen were not necessarily unique. CONCLUSION: It was concluded that both the filter and wrapper approaches adopted were suitable for guiding the choice of recording sites useful for determining the presence of MI. It should be noted however that in this study recording sites have been suggested on their ability to detect disease and such sites may not be optimal for estimating body surface potential distributions.

Algorithms↗

Body surface potential maps of ventricular depolarization in normal adults.

Body surface potential maps were obtained in 50 normal adults using the heart potential map system designed by Yamada. Group A (younger adult group) consisted of 30 persons whose ages ranged from 20 to 39 years. Group B (middle-aged group) included 20 persons whose ages ranged from 40 to 59 years. Although there were slight variations in the pattern of isopotential distribution among the subjects studied, a consistent pattern with a similar sequence was observed in both study groups. However, there were some parameters which significantly differed between groups A and B, including the earliest appearance time of the anterior negative potential (p < 0.05), the anterior potential minimum (p < 0.001), the posterior positive potential (p < 0.001), the midsternal minimum (p < 0.001), the largest potential minimum (p < 0.05), the largest potential maximum (p < 0.005), the "reversal" pattern (p < 0.001), the multipolar potential distribution in the upstroke (p < 0.001) and the amplitude of potential minimum in the periods 50 msec (p < 0.005) and 60 msec (p < 0.01) of ventricular depolarization. Accordingly, the data obtained regarding the time relationship between the bipolar and multipolar phases, the distribution and time course of the potential as well as the dynamic changes in potential voltage, particularly the age-related potential pattern will serve as a basis for further study of BSPM.

Adult↗

The value of body surface potential maps in assessment of experimental myocardial infarction.

Body surface potential maps (BSPMs) and the pathology of 32 dogs with coronary artery ligations were analyzed to research the application of BSPMs to acute myocardial infarction (AMI). The group consisted of 18 dogs with left anterior descending coronary artery (LAD) ligations, 8 with right coronary artery (RCA) ligations and 6 with left circumflex coronary artery (LCX) ligations. The abnormal distribution of negative potential and minimal potential were observed in all of the dogs. In dogs with RCA ligations, the abnormal negative potential displayed on the right-superior, right-inferior or right portion of the anterior thorax. In those with LAD ligations, the abnormal potential appeared on the left-superior, left-inferior, middle-superior or middle portion of the anterior thorax. In those with LCX ligations, the abnormal potential showed on the left-superior or left-middle portion of the thorax. A good correlation was observed between the area of myocardial lesion and the extent of abnormal negative potential distribution (r = 0.82, p less than 0.001). A close correlation was also found between the area of myocardial lesion and the duration of abnormal negative potential (r = 0.61, p less than 0.05). This study suggests that BSPMs are useful in the assessment of AMI in terms of diagnosis, location and extent of myocardial infarct.

Animals↗

Remodeling in myocardial infarction and body surface potential maps.

This study deals with the capabilities of body surface integral and departure maps to evaluate the chronic stage of myocardial infarction based on dividing the left ventricle into 12 segments. The effects of ventricular remodeling on electrocardiographic potential distributions are considered. A 61-year-old male patient was examined five times by body surface potential mapping during a period of 9 months after acute myocardial infarction. Integral maps were calculated for 60 ms after QRS onset and compared with mean data from a control group using departure maps. Integral maps showed a continual reduction of negative potentials in the lower half of the torso with time. The negative area covered the lower torso in the departure maps during the whole study, but its form and value changed. According to the location of the departure area, the surface projection of the scar moved from a position corresponding to inferior segments to a position corresponding to posterior segments. Its size also decreased. Echocardiographic examinations showed progressive enlargement of both ventricles with time. Therefore, the authors postulate that the changing pattern of body surface potential maps was mainly influenced by ventricular remodeling after myocardial infarction.

Electrocardiography↗

Simple, quantitative body surface potential map parameters in the diagnosis of remote Q wave and non-Q wave myocardial infarction.

BACKGROUND: Body surface potential mapping has been shown to be a useful tool in the diagnosis and localization of remote non-Q wave and Q wave myocardial infarction, but human expertise is required to interpret the maps. OBJECTIVE: To identify quantitative body surface potential mapping parameters that could enable a computer-based diagnosis. METHODS: Body surface isopotential maps (63 unipolar leads) were recorded in 86 patients with remote Q wave and 71 patients with remote non-Q wave myocardial infarction. Twenty-four healthy adults served as control subjects. Myocardial infarctions were classified using standard electrocardiogram leads in the acute and chronic phases, and were validated by coronary angiography, ventriculography and thallium scintigraphy. RESULTS: Two simple quantitative parameters with high diagnostic power were identified: the time interval between the peak minimum and the peak maximum potentials (time-shift), and the ratio of these potentials (maximum to minimum ratio [max/min]). Both parameters showed significant differences between infarction patients and normal control subjects, and optimum cut-off values were determined using receiver operating characteristic curves (anterior infarction: time-shift of -4 ms or less, max/min of 0.6 or less; posterior infarction: time-shift of 8 ms or greater, max/min of 1.25 or greater). The sensitivities of the two parameters were 100% and 97%, and the specificities were 99% and 100%, respectively, in the anterior Q wave infarction group, compared with sensitivities of 88% and 100%, and specificities of 94% and 95%, respectively, in the posterior Q wave infarction group. In the anterior non-Q wave infarction group, sensitivity was 35% for both parameters, specificity was 100% for both parameters, and only infarctions associated with a low ejection fraction were detected, indicating that infarction size may influence the power of the tests. CONCLUSIONS: Time-shift and max/min are two new, simple, powerful parameters for infarction diagnosis and may also be suitable for automated, computer-based processing.

Adolescent↗

Evaluation of arrhythmic causes of syncope: correlation between Holter monitoring, electrophysiologic testing, and body surface potential mapping.

Holter monitoring, electrocardiographic (ECG) signal-averaging, body surface potential mapping (BSPM) for PQRST isoarea maps, and electrophysiologic study (EPS) were performed in 100 patients with syncope. Coronary artery disease (CAD) was found in 46 patients and other heart disease was found in 19. EPS was diagnostic in 44 patients, while Holter monitoring suggested a diagnosis in only 21 patients. Abnormal BSPM was frequently seen (56%), especially in CAD (70%), or with inducible ventricular tachycardia (VT) (87%). Late potentials were recorded in 13 patients with CAD; five had inducible VT. In seven other patients with VT, they were either absent or bundle branch block (BBB) was found. Thirteen deaths (three sudden) occurred in our series. EPS-guided therapy resulted in a low rate of total cardiac death. In conclusion, EPS had a higher diagnostic yield than Holter monitoring regardless of cardiac pathology. ECG signal-averaging was useful in predicting VT only in patients with CAD without BBB. BSPM was abnormal in most patients with cardiac disease, but poorly predicted VT.

Arrhythmias, Cardiac↗

Qualitative and quantitative analysis of characteristic body surface potential map features in anterior and inferior myocardial infarction.

Body surface potential maps were recorded from 120 electrode sites in 236 normal subjects and 258 patients with initial evidence of either anterior myocardial infarction (MI) or inferior MI to identify characteristic map patterns in both groups. After time normalization, averaged map distributions were displayed at 18 equal time intervals during both QRS and ST-T waveforms from the normal, anterior MI and inferior MI groups. At each time instant, the 120-point averaged normal map was subtracted in turn from the corresponding anterior and inferior MI maps; the resulting differences at each electrode site were divided by the pooled standard deviation and the obtained values (discriminant indexes), plotted as contour lines with 1 standard deviation increments, producing discriminant maps for each bi-group comparison. The most consistent discriminant patterns in 114 patients with anterior MI were observed in early QRS in the upper left anterior chest where abnormal negative voltages reflected loss of electric potentials while reciprocal changes were noticed in the lower back; by mid-QRS, both distributions had moved jointly and vertically, the former in the lower torso on the midsternal line, the latter in the upper back. In 144 patients with inferior MI, abnormal positive distributions were observed in early QRS in the upper back, followed later by excessive negative voltages in the inferior right anterior chest; at mid-QRS, both distributions had migrated horizontally, the former proceeding toward the upper anterior torso, the latter to the lower left dorsal area.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗

Electrocardiographic body surface potential maps of the QRS of normal children.

Electrocardiographic body surface potential maps (BSPM), utilizing 180 active dry electrodes imbedded in an inflatable vest, were obtained in 40 normal children, ages 8 to 18. The potential levels of the maps are displayed as different colors. A qualitative analysis indicated that the onset of right ventricular breakthrough could always be recognized in the upstroke of the QRS by a pseudopod from a right shoulder minimum extending into an anterior maximum, at an average of 24.4 +/- 4.2 msec., for an average QRS duration of 75.0 +/- 7.1 msec. However there was considerable normal variation, particularly in the mid and late QRS. At the time of depolarization of the free walls of the ventricles, the maximum often remained anterior, with an extension posterior, even through the Frank system vectorcardiogram invariably was posterior. Most remarkable was the terminal QRS of the BSPM, where the terminal maximum may be right superior anterior, anterior superior, or right posterior, presumably reflecting the right ventricular outflow tract, the superior septum, or the posterior basal left ventricle.

Adolescent↗

Multicategory classification of body surface potential maps.

A statistical classification method is suggested for body surface potential maps (BSPM). The initial data reduction utilizes the Fourier expansion and time integration, resulting in physiological-oriented features. Based on Fischer's criterion, optimal discriminant vectors are used to map the features to an optimal subdomain. Experimental criteria determine the dimensionality of the subdomain and the number of features to be mapped into it. Classification is performed in two steps. In the first, a k-nearest neighbor (k-NN) rule is used for every two-category problem, the results of which are fed into a voting rule for final classification. The method is tested with 123 patients divided into four categories: normal (NR), ischemia (IS), myocardial infarction (MI), and left bundle branch block (LB) patients. The success is between 88% (for IS) and 100% (for LB) for QRS segment integration. Departure maps were used to explain the misclassified patterns.

Algorithms↗

Interpolation of body surface potential maps.

The performance of four methods for interpolation of body surface potential maps (BSPMs) for different electrode grid densities was assessed. This study is part of a research project on the influence of the variability of 12-lead electrocardiograms on computer interpretation due to small electrode position changes. Interpolated BSPMs can be used to simulate this variability. The set of BSPMs studied, derived from a 117-electrode grid with relatively many electrodes on the left precordial part of the thorax, consisted of 232 cases without abnormalities, 277 with infarction, and 237 with left ventricular hypertrophy. The interpolation methods used were fast Fourier transforms, Chebyshev polynomials, linear functions, and cubic splines (CS). In the horizontal plane, a reference signal was first interpolated and, thereafter, resampled using 11 different sets of electrodes with the number of electrodes ranging from 18 down to 8. In the vertical direction, five grids with electrodes only on the front of the thorax and nine grids with electrodes on the front and back were examined. As a performance measure for interpolation, mean absolute error (MAE) was used: the absolute differences between the reference signal and the interpolated signal, averaged over the QRS on all maps. All methods showed deteriorating performance for decreasing grid density. In the horizontal direction, CS proved to be slightly superior to other methods for the left precordial electrodes for all but the densest grid (e.g., MAE = 22.8 microV vs MAE > 24.8 microV for a 12-electrode grid). For electrodes not in that area, CS performed the best as well (MAE = 16.1 microV for the same grid), with differences with the other methods being small (MAE > 16.4 microV). In the vertical direction, CS showed the best results on the front, both for the dense nonperiodic (MAE = 19.1 microV vs MAE > 26.6 microV for a 6-electrode grid) and periodic grids (MAE = 25.1 microV vs MAE > 26.6 microV for a 12-electrode grid). Linear functions performed best for sparse nonperiodic grids and sparse periodic grids for electrodes on the back, with the difference with CS for the last case being small. The method CS performed best overall, and is recommended for interpolating BSPMs.

Algorithms↗

Body surface potential maps in patients with familial amyloid polyneuropathy.

The purpose of this study was to evaluate the characteristics of body surface potential maps in patients with cardiac amyloidosis. The study population consisted of 30 patients with familial amyloid polyneuropathy and 50 age-matched normal volunteers. The patients were classified into one of the following three stages: stage I, peripheral neuropathy limited to the lower limbs; stage II, neuropathy involving both the lower and upper limbs; and stage III, bedridden because of extensive progressive neuropathy. Electrodes for the body surface potential maps were placed at 87 points (59 anterior and 28 posterior) on the chest. To analyze these body surface electrocardiograms, isopotential maps, isochrone maps, and isointegral maps were used. The mean values of the positive potential were significantly lower in the advanced stage (1.9 +/- 0.2 mV in stage I, 1.0 +/- 0.2 mV in stage II, and 0.7 +/- 0.2 mV in stage III). Prolongation of ventricular activation time was observed on the anterior and lateral chest. The mean QRST isointegral maps of the patients in the advanced stage of cardiac amyloidosis showed a large negative area over the anterior and left lateral chest, the positive areas were small and their potentials were very low. In addition, 18 (60%) of the 30 patients had a multipolar pattern in the QRST isointegral maps. The changes of the body surface potential maps correlated with clinical staging and echocardiographic findings.

Adult↗

Comparison of body surface potential maps simulated with isotropic and anisotropic computer heart models.

Simulated body surface potential maps (SBSPM) with isotropic and anisotropic heart models were compared to investigate the effect of myocardial anisotropy on body surface electrocardiograms at a whole heart level. Rotative fiber orientations of total 90 degrees was incorporated into an isotropic heart model. The anisotropy of conduction velocity and intracellular electric conductivity was included in the simulation. SBSPM based on epicardial, intramural, and endocardial stimulation show high correlation with fiber orientations. On the other hand, the anisotropy cannot be distinguished from the SBSPM in the simulation of normal heart model.

Anisotropy↗

Body surface potential mapping of ST-segment shift in patients undergoing percutaneous transluminal coronary angioplasty. Correlations with the ECG and vectorcardiogram.

The purpose of this study was to investigate the thoracic patterns of ST-segment shift induced by the occlusion of different coronary arteries during percutaneous transluminal coronary angioplasty. Body surface potential maps were recorded with 63 leads during sinus rhythm before, during, and after balloon inflation in 20 patients. Two patients underwent dilatation of both the right and circumflex coronary arteries. A 12-lead scalar electrocardiogram and a Frank vectorcardiogram with orthogonal leads X, Y, and Z were obtained with the body surface potential maps. The body surface potential maps at 40 ms during the ST-segment showed patterns that were specific to the dilated vessel. The left anterior descending coronary artery (n = 10) was associated with the largest ST-segment shifts with a precordial maximum and negative potentials over the back; for the right coronary artery (n = 7), negative potentials covered the upper left torso with a left mid-axillary minimum and positive potentials over the rest of the torso; for the left circumflex coronary artery (n = 5), negative potentials covered the anterior torso with a precordial minimum and positive potentials over the back. These changes dissipated rapidly after balloon deflation. ST levels measured on orthogonal leads showed values greater than standard electrocardiographic leads for circumflex and right coronary arteries. In conclusion, body surface potential mapping provides a comprehensive approach for the evaluation of electrocardiographic changes and the development of optimal leads for the detection of acute occlusion of a coronary artery.

Adult↗

Diagnostic value of body surface potential mapping in old anterior non-Q myocardial infarction.

Body surface potential maps (BSM) were recorded from 140 chest leads in 30 healthy control subjects (C) and in 20 patients who had had an acute non-Q wave myocardial infarction (MI) 1-82 months before the study, to identify reliable indices of necrosis. In 12 MI patients the QRS complex was within normal limits on standard 12-lead ECG (group A), and in 8 patients no pathologic Q waves were present but the R waves were small and did not normally increase from V1 to V4 (group B). In each subject instantaneous potential distributions throughout the QRS interval were examined. Moreover, the potential--time integrals relating to three intervals (first 40 msec, mid-third, and last third of QRS) were calculated at each lead point and displayed as integral (I) maps. For each time interval, deviation index maps (DI), indicating the standardized differences from normal values, were calculated. An area where the integral values differed at least 2 SD from normal mean was considered abnormal. In most group A patients the inspection of instantaneous potential maps did not reveal definitively abnormal patterns. In group B patients a greater variety of patterns was found and in four cases the characteristic features of the anterior Q wave MI were observed. The DI maps of the first 40 msec of QRS provided the best diagnostic accuracy: areas of negative values 2 SD lower than normal were present in all group B patients (100%), in 8 group A patients (67%), and in 4 group C subjects (13%).(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗

Implications of an early reversal pattern of body surface potential maps in coronary artery disease.

During early ventricular depolarization, the normal body surface potential map (BSPM) has a maximal potential that is greater than the absolute value of the minimal potential; this reverses in late depolarization, so that the absolute value of the minimal potential is greater. Nevertheless, an abnormal "early reversal" BSPM pattern has been observed in some patients with cardiovascular disease. To investigate the implications of this abnormal pattern, BSPMs were studied in 100 patients with angiographically proven coronary artery disease (CAD). There were 57 patients (57%; group A) with an abnormal early reversal pattern and 43 (43%; group B) without this early reversal pattern. A significant (> 70% narrowing) CAD lesion was observed in a significantly higher proportion of group A (97%) than group B (77%) patients, although the number of involved coronary arteries was not significantly different between the two groups. The maximal extent of the abnormal negative potential was significantly greater in group A (21.2 +/- 9.6 cm2) than in group B (12.2 +/- 7.5 cm2). The abnormal negative potential lasted significantly longer in group A (22.1 +/- 12.1 msec) than in group B (14.4 +/- 9.2 msec). Similarly, the minimal potential lasted significantly longer in group A (20.1 +/- 11.3 msec) than in group B (11.8 +/- 7.1 msec). These findings suggest that the abnormal early reversal BSPM pattern is a valuable indicator of extensive myocardial lesions and the severity of CAD.

Adult↗

Low-frequency component of body surface potential maps identifies patients at risk for ventricular tachycardia.

AIMS: To investigate the ability of spectral features of signal-averaged body-surface potential maps in identifying post-infarction patients who are at risk of developing ventricular tachycardia. METHODS AND RESULTS: We recorded 120 lead body surface potential maps during sinus rhythm in 135 subjects (45 patients with healed myocardial infarction but no history of ventricular tachycardia, 45 patients with both healed myocardial infarction and at least one episode of sustained ventricular tachycardia, and 45 normal subjects) and analysed spectral features of body surface potential maps selected on the basis of isoharmonic maps for given bands of the frequency spectrum. We found that in the low-frequency band (1-11 Hertz), the group-mean power spectra of leads located at isoharmonic map maxima were significantly different (P<0.0001) between the two groups of myocardial infarction patients. We estimated that this single feature alone can prospectively identify myocardial infarction patients at risk for ventricular tachycardia with a predictive accuracy of 74+/-6%. CONCLUSION: Our results suggest that the bulk of diagnostic information associated with arrhythmogenicity resides in the low-frequency band of the power spectrum. This finding is at variance with the established notion that only the high-frequency component of signal-averaged electrocardiograms carries such information.

Adult↗