Background: The optimal programming of a pacemaker (PM) voltage output considers both efficiency (prolonging battery cell longevity) and patient safety (adequate safety margin). Currently, automaticcapture (AC) algor...
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Background: The optimal programming of a pacemaker (PM) voltage output considers both efficiency (prolonging battery cell longevity) and patient safety (adequate safety margin). Currently, automaticcapture (AC) algorithms are designed to ensure safe automatic stimulation threshold determination and pacing with a safety margin. Methods: The aims of this prospective observational study were (1) to evaluate, over a short-term follow-up, the extent of backup pacing in patients implanted with an AC-featured PM produced by Boston Scientific (Insignia) and a wide range of ventricular leads;(2) to identify patient- or lead-specific predictors of ventricular threshold increase or missed detection of the ventricular pacing threshold;and (3) to analyze day-to-day fluctuations in the ventricular pacing threshold and the relationship between their magnitude, the characteristics of patients, and the system implanted. Results: Five hundred and seventy-nine patients implanted with 89 different leads were followed up for a median of 2.1 months. Five hundred and thirty-six patients (92.5%) never experienced failure of automatic threshold testing;571 (98.6%) did not experience permanent failure requiring continuous backup pacing at high energy. On multivariate analysis, none of the patient or lead characteristics predicted the occurrence of high-energy backup pacing during the study period. Day-to-day threshold fluctuations were associated only with higher thresholds (> 1 V). Conclusion: AC algorithm reliably measures ventricular pacing thresholds in most patients: in only 1.4% of patients the system is permanently unable to detect the ventricular threshold. Backup pacing is not dependent on lead or patient characteristics, including lead polarization, polarity, and maturation. (PACE 2008;31:1546-1553).
Heart rate monitoring is important for diagnosis and prevention of physiological diseases. The method of measuring heart rate by infrared sequence image has high accuracy. But shaking is a factor to affect the measure...
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ISBN:
(数字)9781510630765
ISBN:
(纸本)9781510630765
Heart rate monitoring is important for diagnosis and prevention of physiological diseases. The method of measuring heart rate by infrared sequence image has high accuracy. But shaking is a factor to affect the measurement result. Even if a slight shaking will create a big measurement error. In this paper, we propose an automatic capture algorithm of heart rate measurement through the real-time tracking and capturing of the face monitoring area, so the disturbance caused by human body shaking is overcome. Compared with the traditional method(1), the measurement accuracy of the tests with shaking is improved about 6% higher based on our algorithm.
Heart rate monitoring is important for diagnosis and prevention of physiological *** method of measuring heart rate by infrared sequence image has high *** shaking is a factor to affect the measurement *** if a slight...
详细信息
Heart rate monitoring is important for diagnosis and prevention of physiological *** method of measuring heart rate by infrared sequence image has high *** shaking is a factor to affect the measurement *** if a slight shaking will create a big measurement *** this paper,we propose an automatic capture algorithm of heart rate measurement through the real-time tracking and capturing of the face monitoring area,so the disturbance caused by human body shaking is *** with the traditional method1,the measurement accuracy of the tests with shaking is improved about 6% higher based on our algorithm.
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