{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T13:59:31Z","timestamp":1789912771254,"version":"4.0.1"},"reference-count":31,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2006,11,10]],"date-time":"2006-11-10T00:00:00Z","timestamp":1163116800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cardiovasc electrophysiol"],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:p> <jats:italic>Introduction:<\/jats:italic> Wide\u2010spread adoption of ICD therapy has focused efforts on improving the quality of life for patients by reducing \u201cinappropriate\u201d shock therapies. To this end, distinguishing supraventricular tachycardia from ventricular tachycardia remains a major challenge for ICDs. More sophisticated discrimination algorithms based on ventricular electrogram morphology have been made practicable by the increased computational ability of modern ICDs.<\/jats:p><jats:p> <jats:italic>Methods and Results:<\/jats:italic> We report results from a large prospective study (1,122 pts) of a new ventricular electrogram morphology tachycardia discrimination algorithm (Wavelet\u2122 Dynamic Discrimination, Medtronic, Minneapolis, MN, USA) operating at minimal algorithm setting (RV coil\u2010can electrogram, match threshold of 70%). This is a nonrandomized cohort study of ICD patients using the morphology discrimination of the Wavelet algorithm to distinguish SVT and VT\/VF. The Wavelet criterion was required ON in all patients and all other supraventricular tachycardia discriminators were required to be OFF. Spontaneous episodes (N = 2,235) eligible for ICD therapy were adjudicated for detection algorithm performance. The generalized estimating equations method was used to remove bias introduced when an individual patient contributes multiple episodes. Inappropriate therapies for supraventricular tachycardia were reduced by 78% (90% CI: 72.8\u201382.9%) for episodes within the range of rates where Wavelet was programmed to discriminate. Sensitivity for sustained ventricular tachycardia was 98.6% (90% CI: 97\u201399.3%) without the use of high\u2010rate time out.<\/jats:p><jats:p> <jats:italic>Conclusions:<\/jats:italic> Results from this prospective study of the Wavelet electrogram morphology discrimination algorithm operating as the sole discriminator in the ON mode demonstrate that inappropriate therapy for supraventricular tachycardia in a single\u2010chamber ICD can be dramatically reduced compared to rate detection alone.<\/jats:p>","DOI":"10.1111\/j.1540-8167.2006.00643.x","type":"journal-article","created":{"date-parts":[[2006,11,10]],"date-time":"2006-11-10T16:08:15Z","timestamp":1163174895000},"page":"1310-1319","source":"Crossref","is-referenced-by-count":80,"title":["Improving SVT Discrimination in Single\u2010Chamber ICDs: A New Electrogram Morphology\u2010Based Algorithm"],"prefix":"10.1111","volume":"17","author":[{"given":"GEORGE 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