DocumentCode
163418
Title
Intelligent system for detecting cardiac arrhythmia on FPGA
Author
Zairi, Hadjer ; Kedir-Talha, Malika ; Benouar, Sara ; Ait-Amer, Amine
Author_Institution
Lab. of Instrum., Univ. of Sci. & Technol. Houari Boumadiene (USTHB), Algiers, Algeria
fYear
2014
fDate
1-3 April 2014
Firstpage
1
Lastpage
5
Abstract
This paper presents a hardware implementation of the detection system of cardiac arrhythmias on FPGA. Thus we are interested in the software and hardware detection of the QRS complex. Our algorithm is based around a recursive digital filters (FIR) and non-recursive (IIR). The hardware implementation of our algorithm was done in HDL (hardware description language). For this our generated source has been simulated, synthesized and tested on Xilinx FPGA (Field Programmable Gate Array) card using the MIT BIH data base. The results shows the contribution of this implementation for embedded systems to better track patients by minimizing the size of the screen and increasing the computational efficiency while reducing the execution time.
Keywords
biomedical equipment; electrocardiography; embedded systems; field programmable gate arrays; hardware description languages; medical signal processing; recursive filters; MIT BIH data base; QRS complex; Xilinx FPGA; cardiac arrhythmia detection; computational efficiency; embedded systems; execution time reduction; field programmable gate array card; hardware description language; hardware implementation; intelligent system; nonrecursive digital filters; recursive digital filters; screen size minimization; software-hardware detection; Band-pass filters; Electrocardiography; Field programmable gate arrays; Finite impulse response filters; IIR filters; Maximum likelihood detection; Adaptive thresholding; Automated Diagnostic; ECG; FPGA; QRS detection; VHDL;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Systems (ICICS), 2014 5th International Conference on
Conference_Location
Irbid
Print_ISBN
978-1-4799-3022-7
Type
conf
DOI
10.1109/IACS.2014.6841953
Filename
6841953
Link To Document