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PubMed · 7699852

[Spectro-temporal mapping (STM)].

M Ebato·S Mashima
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Abstract

In recent years, various kinds of time-varying spectral analysis which estimate the frequency content of a signal as a function of time have been proposed. Spectro-temporal mapping (STM) is one of such methods with elaborate modification of a simple fixed period analysis. Merits and demerits of this method in clinical application are described in this chapter. Certain technical aspects pertinent to the interpretation of STM were also discussed. In conclusion, STM in present form is inferior to time domain analysis for the prediction of serious ventricular arrhythmias. But it has some usefulness to supplement time domain analysis in noise detection and application to patients with broad QRS complex.

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Body Surface Potential MappingClinical Trials as TopicDiagnosis, DifferentialHumansReaction TimeTachycardia, VentricularEnglish AbstractJournal ArticleReview

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M Ebato, S Mashima. 1995. [Spectro-temporal mapping (STM)].. https://pubmed.ncbi.nlm.nih.gov/7699852/

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Electromechanical mapping for detection of myocardial viability in patients with ischemic cardiomyopathy.

BACKGROUND: We evaluated the ability of electromechanical mapping of the left ventricle to distinguish between nonviable and viable myocardium in patients with ischemic cardiomyopathy. METHODS AND RESULTS: Unipolar voltage amplitudes and local endocardial shortening were measured in 31 patients (mean+/-SD age, 62+/-8 years) with ischemic cardiomyopathy (ejection fraction, 30+/-9%). Dysfunctional regions, identified by 3D echocardiography, were characterized as nonviable when PET revealed matched reduction of perfusion and metabolism and as viable when perfusion was reduced or normal and metabolism was preserved. Mean unipolar voltage amplitudes and local shortening differed among normal, nonviable, and viable dysfunctional segments. Coefficient of variation for local shortening exceeded differences between groups and did not allow distinction between normal and dysfunctional myocardium. Optimum nominal discriminatory unipolar voltage amplitude between nonviable and viable dysfunctional myocardium was 6.5 mV, but we observed a great overlap between groups. Individual cutoff levels calculated as a percentage of electrical activity in normal segments were more accurate in the detection of viable dysfunctional myocardium than a general nominal cutoff level. The optimum normalized discriminatory value was 68%. Sensitivity and specificity were 78% for the normalized discriminatory value compared with 69% for the nominal value (P:<0.02). CONCLUSIONS: Endocardial ECG amplitudes in patients with ischemic cardiomyopathy display a wide scatter, complicating the establishment of exact nominal values that allow distinction between viable and nonviable areas. Individual normalization of unipolar voltage amplitudes improves diagnostic accuracy. Electroanatomic mapping may enable identification of myocardial viability.

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