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Survey on Filtering Techniques Applied to ECG Signal
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g1003.0597s20
Subject(s) - computer science , signal (programming language) , infinite impulse response , signal processing , digital filter , artificial intelligence , amplifier , electronic engineering , filter (signal processing) , pattern recognition (psychology) , digital signal processing , telecommunications , engineering , computer hardware , computer vision , bandwidth (computing) , programming language
This Analysis of ECG signals is crucial for early detection of cardiac ailments. With the sensors becoming more and more predominant and available in all wearable forms for measuring multiple physiological parameters, the importance of algorithms to detect the abnormalities are also gaining importance. The physiological signals are measured through noninvasive means unless very critical and hence are very weak in nature. Bio-amplifiers are applied during signal acquisition. The signals are weak and hence susceptible for the electrical disturbances in the environment. Selection of Filtering techniques is very important and is decided by many factors. This paper is a survey which presents digital filtering techniques the researchers have applied in the last decade. The study reveals the different types FIR/IIR filters the researchers have worked and also the performance metrics adapted by the researchers electronic document is a “live” template and already.

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