Title :
A covariance-based algorithm: A novel technique for rhythm discrimination in ICDs
Author :
Kamousi, B. ; Lin, B. ; Al-Ahmad, A. ; Hsia, H. ; Zei, P. ; Natale, A. ; Moss, A. ; Daubert, J. ; Zareba, W. ; Wang, P.
Author_Institution :
School of Medicine, Stanford University, CA, USA
Abstract :
Inappropriate shocks due to misclassification of supraventricular and ventricular arrhythmias remain a major problem in the care of patients with Implantable Cardioverter defibrillators (ICDs). In this study we have investigated the ability of a new covariance-based algorithm, to distinguish Ventricular Tachycardia from other rhythms such as Supraventricular Tachycardia. The proposed algorithm has a low computational demand and with a small adjustment is applicable on both single-chamber and dual-chamber ICDs. The results are promising and suggest that the new covariance-based algorithm may be an effective method for ICD rhythm classification and may decrease inappropriate shocks.
Keywords :
Batteries; Cardiology; Covariance matrix; Electric shock; Heart beat; Medical treatment; Patient monitoring; Rhythm; Stability; USA Councils; Algorithms; Defibrillators, Implantable; Diagnosis, Computer-Assisted; Electric Countershock; Electrocardiography; Humans; Oscillometry; Pattern Recognition, Automated; Regression Analysis; Reproducibility of Results; Sensitivity and Specificity; Tachycardia, Ventricular; Therapy, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650454