
ELECTROCARDIOGRAM (ECG) SIGNAL PROCESSING ON FPGA FOR EMERGING HEALTHCARE APPLICATIONS
Author(s) -
M. Ravi Kumar
Publication year - 2012
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2012.1089
Subject(s) - modelsim , field programmable gate array , vhdl , computer science , embedded system , signal (programming language) , filter (signal processing) , noise (video) , digital signal processing , computer hardware , signal processing , computer architecture , artificial intelligence , image (mathematics) , computer vision , programming language
In this project an ECG signal processing module will be implemented in VHDL on FPGA platform. The digital filtering will be carried out with low pass FIR architecture. Filters shall filter the 50 Hz coupled noise and other high frequency noises. The filtered signal is subjected to Short Time Fourier transform by which lot of inferences can be made by medical experts. A recorded ECG signal will be used as test input to test the modules implemented on FPGA. The Modelsim Xilinx Edition and Xilinx Integrated Software Environment will be used simulation and synthesis respectively. The Xilinx Chipscope tool will be used to test the results, while the logic running on FPGA. The Xilinx Spartan 3 Family FPGA development board will be used this project.