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Temporal Electrogram Analysis: Algorithm Development
Author(s) -
PAUL V.E.,
O'NUNAIN S.,
MALIK M.,
CAMM A.J.
Publication year - 1990
Publication title -
pacing and clinical electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 101
eISSN - 1540-8159
pISSN - 0147-8389
DOI - 10.1111/j.1540-8159.1990.tb06921.x
Subject(s) - medicine , sensitivity (control systems) , algorithm , cardiology , ventricular tachycardia , pattern recognition (psychology) , artificial intelligence , computer science , engineering , electronic engineering
PAUL, V.E., ET AL.: 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%.