DocumentCode :
1789597
Title :
The real-time R-wave detection based on FPGA
Author :
Tongqing Li ; Yide Ma ; Yurun Ma ; Xiangyu Lu
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
393
Lastpage :
398
Abstract :
R-wave detection is one of the most significant parts in Electrocardiogram (ECG) signal studies and plays an important role in the automatic ECG analysis system. In this research, we design a prototype of portable automatic ECG analysis system based on field programmable gate array (FPGA) using Altera DE2-70 development board. The system includes four parts: 1)Data input, 2)ECG denoising, 3)ECG analysis and R-wave detection, 4) Results display. In this paper, we use the data from the well-known MIT/BIH arrhythmia database. CDF9/7 wavelet filter is used to remove the high-frequency noise and the threshold method is used to detect the R-wave. In addition, In the Quartus II 9.0 development environment, we complete the simulation and synthesis. Experimental results based on the system show that proposed architecture can detect R-wave accurately and the utilization percent of resource is low, just 6%.
Keywords :
biomedical electronics; biomedical equipment; data analysis; diseases; display devices; electrocardiography; field programmable gate arrays; filters; medical signal detection; medical signal processing; portable instruments; prototypes; signal denoising; wavelet transforms; Altera DE2-70 development board; CDF9/7 wavelet filter; ECG denoising; FPGA; MIT/BIH arrhythmia database; Quartus II 9.0 development environment; R-wave detection accuracy; data input; electrocardiogram signal study; field programmable gate array; high-frequency noise removal; portable automatic ECG analysis system; prototype design; real-time R-wave detection; resource utilization percent; result display; simulation; synthesis; threshold method; Algorithm design and analysis; Clocks; Electrocardiography; Field programmable gate arrays; Signal processing algorithms; Wavelet transforms; CDF9/7 wavelet filter; ECG; FPGA; R-wave detection; Threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
Type :
conf
DOI :
10.1109/BMEI.2014.7002806
Filename :
7002806
Link To Document :
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