Open AccessDenoising of ECG Signals Using FIR & IIR Filter: a Performance Analysis
Author(s) -
Chhavi Saxena,
Vivek Upadhyaya,
Hemant Gupta,
Avinash Sharma
Publication year - 2018
Publication title -
kalpa publications in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1770
DOI - 10.29007/tgtg
Subject(s) - computer science , signal (programming language) , infinite impulse response , noise (video) , noise reduction , signal processing , filter (signal processing) , finite impulse response , digital filter , interference (communication) , artificial intelligence , electronic engineering , speech recognition , digital signal processing , computer vision , engineering , telecommunications , computer hardware , algorithm , channel (broadcasting) , image (mathematics) , programming language
Electrocardiogram (ECG) signal is a bio-electrical activity of the heart. It is a common routine and important cardiac diagnostic tool where in electrical signals are measured and recorded to know the functional status of heart, but ECG signal can be distorted with noise as, various artifacts corrupt the original ECG signal and reduces it quality. Therefore, there is a need to remove such artifacts from the original signal and improve its quality for better interpretation. Digital filters are used to remove noise error from the low frequency ECG signal and improve the accuracy the signal. Noise can be any interference due to motion artifacts or due to power equipment that are present where ECG had been taken. Thus, ECG signal processing has become a prevalent and effective tool for research and clinical practices. This paper presents the comparative analysis of FIR and IIR filters and their performances from the ECG signal for proper understanding and display of the ECG signal.