title: Clinical results of automatic slope adaptation in a dual sensor VVIR pacemaker.
abstract: Manual slope programming in rate adaptive pacemakers can be time consuming. This may become worse with dual sensor devices. The remedy is to let the pacemaker automatically learn the slopes. Fast learning replaces initial manual slope programming. Daily learning is a continuous process to determine and optimize slopes during daily life. Both methods are known for a QT sensing pacemaker. Fast learning is known for other single sensor devices. The aim of this study was to follow daily learning in a QT and activity dual sensor pacemaker, starting with factory slope settings. Six patients were studied for about 8 weeks. The daily learning algorithm appeared to be effective, showing the desired regulation processes. It took 2-5 weeks to reach full rate response.
mesh_terms: D000054:Acceleration; D000368:Aged; D000465:Algorithms; D001281:Atrial Fibrillation / Q000628:therapy; D001282:Atrial Flutter / Q000628:therapy; D002304:Cardiac Pacing, Artificial / Q000379:methods*; D004867:Equipment Design; D015444:Exercise / Q000502:physiology; D005080:Exercise Test; D005260:Female; D006327:Heart Block / Q000628:therapy; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D010138:Pacemaker, Artificial; D012680:Sensitivity and Specificity; D013997:Time Factors