FPGA – Based Electrocardiography Signal Analysis System using (FIR) Filter

G. Balachandran; Praveen Kumar Gupta

doi:https://doi.org/10.51976/ijari.812008

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FPGA – Based Electrocardiography Signal Analysis System using (FIR) Filter

G. Balachandran, Praveen Kumar Gupta

Vol 8 , Issue 1 , January - March 2020 | Pages: 44-48 | Research Paper

https://doi.org/10.51976/ijari.812008

Received: January 05, 2020 | Revised: February 20, 2020 | Accepted: February 28, 2020 | Published Online: March 15, 2020

Author Details ( * ) denotes Corresponding author

1. * G. Balachandran, Department of Electronic Engineering (VLSI Design), Jeppiaar Engineering College, Chennai, Tamil Nadu, India (sg.bala81@gmail.com)

2. Praveen Kumar Gupta, Department of Electronic Engineering (VLSI Design), Jeppiaar Engineering College, Chennai, Tamil Nadu, India (praveen28061994@gmail.com)

The cardiovascular attack is a more dangerous than other diseases and it is measured by ECG (Electro cardiograph) signals which is like a noisy signal in real time, especially in the field of telemedicine environment. The noisy ECG signals have more motion artifacts, electrical interference, etc. An adaptive filtering approach based on Discrete Wavelet Transform and an artificial neural network is proposed to reduce the noise in ECG signal. The quality of de-noised signal is improved by SVM algorithm. This suggested approach can successfully take out a broad scope of noise and our method achieve up to almost 82% improvement on the SNR of de-noised signals. The MATLAB simulation results shown clearly about the improvement of ECG signal with SNR value.

Keywords

ECG; Signal to noise ratio; SVM algorithm; Discrete wavelet transforms

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