Title :
Samples above the median: a nonparametric method for intracardiac signal assessment
Author :
Morris, M.M. ; Jenkins, J.M. ; DiCarlo, L.A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
In this investigation, a nonparametric (distribution-free) detection scheme, Samples Above the Median (SAM), is devised as an arrhythmia discriminant for implantable cardioverter defibrillators which is highly sensitive and specific yet introduces no appreciable computational demand. No widely accepted probability density function (p.d.f.) for intracardiac electrogram signals has been determined. A nonparametric method does not utilize the p.d.f. SAM was tested on 30 patients each with documented episodes of normal sinus rhythm (NSR) and ventricular tachycardia (VT). SAM achieved an electrogram specificity of 0.992 (476/480) and an electrogram sensitivity of 0.981 (471/480). SAM achieved an arrhythmia sensitivity and specificity of 1 using a 12 of 16 (75%) electrograms per arrhythmia criterion.
Keywords :
defibrillators; electrocardiography; medical signal processing; arrhythmia criterion; computational demand; distribution-free detection scheme; electrogram specificity; implantable cardioverter defibrillators; intracardiac electrogram signals; intracardiac signal assessment; nonparametric method; normal sinus rhythm; ventricular tachycardia; Batteries; Cardiac disease; Cardiology; Computational complexity; Distributed computing; Electric shock; Medical treatment; Morphology; Rhythm; Testing;
Conference_Titel :
Computers in Cardiology, 1996
Conference_Location :
Indianapolis, IN, USA
Print_ISBN :
0-7803-3710-7
DOI :
10.1109/CIC.1996.542475
