A parallel approach to ECG processing

Author

Koulouris, A. ; Papakonstantinou, G. ; Tsanakas, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

5

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

2271

Abstract

The algorithm presented is based on parallel processing of the electrocardiogram (ECG) using the information contained in all 12 simultaneously recorded leads. A non-syntactic algorithm is used initially to extract the results in every one lead. The computing for each lead is done in 12 parallel processors and concurrently a cross-correlation and evaluation of the individual results is done in the main processor in order to make the final decision about each detected characteristic. It turns out that this approach gives better and more reliable information than the known methods which are based on conventional methods

Keywords

electrocardiography; medical signal processing; parallel algorithms; ECG processing; QRS recognition; continuous monitoring; cross-correlation; length transformation; nonsyntactic algorithm; parallel processing; simultaneously recorded leads; telemedicine application potential; thresholds; weighting factors; Concurrent computing; Costs; Current measurement; Data mining; Electrocardiography; Monitoring; Parallel architectures; Parallel processing; Real time systems; Societies;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.646529

Filename

646529