Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction.
Author(s) -
Michael B. Simson
Publication year - 1981
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/01.cir.64.2.235
Subject(s) - medicine , qrs complex , cardiology , ventricular tachycardia , signal averaged electrocardiogram , myocardial infarction , bundle branch block , sinus rhythm , electrocardiography , signal averaging , atrial fibrillation , signal transfer function , digital signal processing , analog signal , electrical engineering , engineering
Small, high-frequency electrocardiographic signals were recorded from the body surface in 39 patients with and 27 patients without ventricular tachycardia (VT). All patients were in normal sinus rhythm, had a previous myocardial infarction, were not taking antiarrhythmic drugs, and did not have bundle branch block. Bipolar X, Y, Z leads were signal averaged and processed by a bidirectional digital filter that allowed low-amplitude signals to be detected in the terminal QRS complex and ST segment. The high-pass filter frequency was 25 Hz. Patients with VT had a lower amplitude of high-frequency signal in the late QRS complex. In the last 40 msec of the filtered QRS complex, the patients with VT had 14.9 +/- 14.4 microV of high-frequency signal; patients without VT had 73.8 +/- 47.7 microV (p less than 0.0001). Ninety-two percent of the patients with VT had less than 25 microV of high-frequency voltage; only 7% of patients without VT had less than 25 microV (p less than 0.0001). Patients with VT had a longer QRS duration than those without VT, 139 +/- 26 vs 95 +/- 10 msec (p less than 0.0001). The QRS duration was longer than 120 msec in 72% of the patients with VT but in none of the patients without VT (p less than 0.0001). In all patients there was no separate and discrete high-frequency signal in the ST segment. Advanced signal processing of the ECG accurately identified the patients in the study with VT after myocardial infarction.
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