A covariance-based algorithm: a novel technique for rhythm discrimination in ICDs.
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.
Kamousi
B
B
School of Medicine, Stanford University, Stanford, CA, USA.
Lin
B
B
Al-Ahmad
A
A
Hsia
H
H
Zei
P
P
Natale
A
A
Moss
A
A
Daubert
J
J
Zareba
W
W
Wang
P
P
D000465:Algorithms; D017147:Defibrillators, Implantable / Q000009:adverse effects*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004554:Electric Countershock / Q000009:adverse effects; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D009991:Oscillometry / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017180:Tachycardia, Ventricular / Q000145:classification / Q000175:diagnosis* / Q000517:prevention & control*; D013813:Therapy, Computer-Assisted / Q000379:methods