1988
DOI: 10.1111/j.1540-8159.1988.tb06271.x
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Far‐Field QRS Complex Sensing Via the Atrial Pacemaker Lead. II. Prevalence, Clinical Significance and Possibility of Intraoperative Prediction in DDD Pacing.

Abstract: To study the prevalence and significance of far-field QRS complex sensing via unipolar atrial electrodes, we attempted to provoke this phenomenon postoperatively in 119 patients with DDD pacemakers. It occurred in 42 patients (35%), with different types of atrial electrodes. In 27 cases with documented far-field QRS complex sensing, selection of an adequate atrial amplifier sensitivity eliminated the problem; in the remaining 15 cases, other program adjustments were necessary. In all patients DDD pacing could … Show more

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Cited by 37 publications
(10 citation statements)
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“…Far-field QRS are oversensed in one third of patients implanted with DDD pacemakers using unipolar atrial leads and high atrial sensitivities (0•7 mV), but prevalence is decreased with reduced sensitivities (only 2% with 2 mV) [6,10] . Mean far-field QRS amplitudes of 0•9 to 1•6 mV and of 0•3 to 0•6 mV have been reported using unipolar and bipolar atrial leads respectively [6,9] .…”
Section: Discussionmentioning
confidence: 99%
“…Far-field QRS are oversensed in one third of patients implanted with DDD pacemakers using unipolar atrial leads and high atrial sensitivities (0•7 mV), but prevalence is decreased with reduced sensitivities (only 2% with 2 mV) [6,10] . Mean far-field QRS amplitudes of 0•9 to 1•6 mV and of 0•3 to 0•6 mV have been reported using unipolar and bipolar atrial leads respectively [6,9] .…”
Section: Discussionmentioning
confidence: 99%
“…The dominant cause of spurious mode switching is oversensing of far-field R-waves (FFRW) [93,94,95,96,97]. Detection of atrial tachyarrhythmias results in reversion to a nontracking mode (DDI or VDI).…”
Section: Atrial Oversensingmentioning
confidence: 99%
“…The algorithm consists of two basic elements: a learning phase and a classification phase. Since morphology and timing of FFRWs differ depending on patients' anatomy, lead characteristics and position, 10,15,[17][18][19] a learning phase is needed in each patient to acquire individual reference FFRW characteristics. 13 In this study, segments 0-3 h, 6-9 h, 12-15 h, and 18-21 h of each 24-hour Holter recording were used for learning, the remainder for classification.…”
Section: The Morph Algorithmmentioning
confidence: 99%