This paper is published in Volume-4, Issue-2, 2018
Area
VLSI
Author
P. Purani
Co-authors
M. Sasikala, J. Sharmila Devi, A. Yasodha, S. V Sathyah, S. Jeya Anusuya
Org/Univ
T. J. S Engineering College, Puduvoyal, Tamil Nadu, India
Pub. Date
14 March, 2018
Paper ID
V4I2-1210
Publisher
Keywords
Electrocardiography (ECG), Discrete Wavelet Transform (DWT), FPGA, DSP, Bio-Medical Applications.

Citationsacebook

IEEE
P. Purani, M. Sasikala, J. Sharmila Devi, A. Yasodha, S. V Sathyah, S. Jeya Anusuya. FPGA – Based Electro Cardio Graphy Signal Analysis System using Least Square Linear Phase Finite Impulse Response Filter, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
P. Purani, M. Sasikala, J. Sharmila Devi, A. Yasodha, S. V Sathyah, S. Jeya Anusuya (2018). FPGA – Based Electro Cardio Graphy Signal Analysis System using Least Square Linear Phase Finite Impulse Response Filter. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
P. Purani, M. Sasikala, J. Sharmila Devi, A. Yasodha, S. V Sathyah, S. Jeya Anusuya. "FPGA – Based Electro Cardio Graphy Signal Analysis System using Least Square Linear Phase Finite Impulse Response Filter." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Proposed design for analyzing electrocardiography (ECG) signals. This methodology employs high pass least-square linear phase finite impulse response (FIR) filtering technique to filter out the baseline wander noise embedded in the input ECG signal to the system. Discrete wavelet transform (DWT) was utilized as a feature extraction methodology to extract the reduced feature set from the input ECG signal. The design uses back propagation neural network classifier to classify the input ECG signal. The system is simulation on xilinx system generator.
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