Detection and Analysis of ECG Based on Parallel Computing Technology

Author

Qi, Shen ; Yishan, Wang

Author_Institution

Sch. of Software Eng., Beijing Univ. of Technol. (BJUT), Beijing, China

Volume

1

fYear

2009

fDate

25-27 Dec. 2009

Firstpage

106

Lastpage

109

Abstract

In this paper, a parallel model for the detection and analysis of electrocardiogram (ECG) will be defined. First of all, the parameters of digital FIR filter are worked out, with the help of MATLAB. Before any parallel model being defined, the serial algorithms of detection and analysis of ECG are discussed. Then each serial algorithm will be parallelized to build our parallel model. At the end of this paper, an parallel program based on Message Passing Interface (MPI) would be used to validate the parallel model. The parallel computer, which we worked on, is an IBM cluster with 15 nodes. As shown in the experimental results, the efficiency of detection and analysis of ECG will be significantly improved, by using the parallel model.

Keywords

FIR filters; electrocardiography; mathematics computing; medical signal detection; message passing; parallel programming; ECG; Matlab; digital FIR filter; electrocardiogram; message passing interface; parallel computing; parallel program; Concurrent computing; Digital filters; Electrocardiography; Filtering; Finite impulse response filter; IIR filters; Interference; Mathematical model; Parallel processing; Software engineering; Cluster System4; Digital Filtering; ECG; MPI; Parallel Conputing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on

Conference_Location

Chongqing

Print_ISBN

978-0-7695-3930-0

Electronic_ISBN

978-1-4244-5423-5

Type

conf

DOI

10.1109/IFCSTA.2009.33

Filename

5385120