Title :
Prediction of tachyarrhythmia episodes
Author :
Thong, Tran ; Goldstein, Brahm
Author_Institution :
OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA
Abstract :
Ventricular tachyarrhythmia, in particular ventricular fibrillation, may be partially enabled by an imbalance within the autonomic nervous system. Decreased parasympathetic (or vagal) cardiac regulatory activity may be responsible for the development of conditions that allow ventricular fibrillation to develop and sustain itself. An analysis of R-R intervals immediately prior to episodes of ventricular fibrillation has yielded a modulation pattern of the R-R intervals, which was termed "vagal fatigue," that appears in a majority of ventricular fibrillation episodes detected and treated by an implantable defibrillator. When absent, this modulation pattern is typically associated with an aborted defibrillation shock, indicating that parasympathetic activity is sufficiently strong that it was able to overcome the tachyarrhythmia prior to therapy delivery. The tachyarrhythmia detector compares the instantaneous R-R interval with a target R-R. The resulting error signal was used to set the "vagal fatigue" indicator.
Keywords :
diseases; electrocardiography; medical signal processing; ECG analysis; R-R intervals analysis; autonomic nervous system; decreased parasympathetic activity; electrodiagnostics; error signal; implantable defibrillator; instantaneous R-R interval; tachyarrhythmia episodes prediction; therapy delivery; ventricular fibrillation episodes; Databases; Defibrillation; Electric shock; Fatigue; Fibrillation; Heart rate variability; Medical treatment; Monitoring; Pattern analysis; Rhythm;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106474