Detection and Analysis of ECG Based on Parallel Computing Technology
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 baseed 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 paralle model.
ECG1 Parallel Conputing2 MPI3 Cluster System4 Digital Filtering5
Shen Qi Wang Yishan
School of Software Engineering, Beijing University of Technology (BJUT), Beijing 100124, China School of Software Engineering, Beijing University of Technology (BJUT), Beijing 100124, China
国际会议
重庆
英文
106-109
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）