QRS recognition with programmable hardware
Ieong Chio In; Vai Mang I; Mak Peng Un
Conference Name2008 2nd International Conference on Bioinformatics and Biomedical Engineering
Source Publication2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Conference Date16-18 May 2008
Conference PlaceShanghai, China

In recent years, wavelet transform is applied to ECG signal processing for ECG characteristic points detection. However, most of the published algorithms are offline algorithms running in personal computer. This paper proposes the QRS complex detection design in Field Programmable Gate Array (FPGA). Although there are a few papers about implementing QRS detection design in FPGA, most of them employ embedded processor in FPGA, resulting in that the parallel processing advantage of FPGA can not be fully utilized. The proposed design utilizes the parallelism of FPGA and can operate in the maximum throughput of 57.534MSa/s in real time, while the sampling rate of input ECG signal is only several hundred samples per second.

KeywordDecision Rule Field Programmable Gate Array Qrs Detection Quadratic Spline Wavelet Transform State Machine
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Document TypeConference paper
CollectionUniversity of Macau
AffiliationElectrical and Electronics Engineering Faculty of Science and Technology, University of Macau Macau S.A.R., China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Ieong Chio In,Vai Mang I,Mak Peng Un. QRS recognition with programmable hardware[C]:IEEE,2008:2028-2031.
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