Survey on Filtering Techniques Applied to ECG Signal
Mala Sinnoor1, Shanthi K J2
1Mala Sinnoor, Department of Electronics and Communication, Dr. Ambedkar Institute of Technology, Bengaluru (Karnataka), India.
2Shanthi K J, Department Medical Electronics, Dr. Ambedkar Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 25 April 2020 | Revised Manuscript received on 07 May 2020 | Manuscript Published on 22 May 2020 | PP: 9-11 | Volume-9 Issue-7S July 2020 | Retrieval Number: 100.1/ijitee.G10030597S20 | DOI: 10.35940/ijitee.G1003.0597S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: FIR, IIR, De-noising, ECG, Noise, Power Line Interference.
Scope of the Article: Soft computing Signal and Speech Processing