A Shockable Rhythm Detection Algorithm Using Slope Variability

Author

Liu, Cong ; Song, Hailang ; Wu, Xiaomei ; Fang, Zuxiang

Author_Institution

Dept. of Electron. Eng., Fudan Univ., Shanghai, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

4

Abstract

The algorithm that can discriminate shockable (ShR) and nonshockable (NShR) rhythm automatically, accurately and timely is critical for Automatic External Defibrillators (AEDs). In this paper, an algorithm based on slope variability is proposed. The algorithm was validated by the CU Database, MIT Database and the files 7001-8210 of the AHA Database, and was evaluated by five parameters: the sensitivity, specificity, accuracy, IROC, and computational time. The result shows that this algorithm is more effective and faster than some earlier algorithms for AEDs.

Keywords

bioelectric phenomena; circadian rhythms; defibrillators; AHA Database; Automatic External Defibrillator; CU Database; IROC; MIT Database; NShR rhythm; accuracy; computational time; sensitivity; shockable rhythm detection algorithm; slope variability; specificity; Cardiac arrest; Chaos; Databases; Defibrillation; Detection algorithms; Electrocardiography; Filters; Heart rate variability; Rhythm; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Conference_Location

Chengdu

ISSN

2151-7614

Print_ISBN

978-1-4244-4712-1

Electronic_ISBN

2151-7614

Type

conf

DOI

10.1109/ICBBE.2010.5516322

Filename

5516322