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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16773
Title: Adaptive Filtration Techniques for Impulsive Noise Removal from ECG
Authors: Singh P.
Bhole K.
Sharma A.
Published in: Proceedings of 2017 14th IEEE India Council International Conference, INDICON 2017
Abstract: The electrocardiogram is most important in diagnosis and prognosis of heart disorders. It is also used to analyze different parameters related to heart. Noise in ECG can mislead us to wrong diagnosis or analysis. There are different types of noise present in ECG signal among which baseline wander and high frequency noises can be filtered by implementing fixed filters, but for impulsive noises we need an adaptive filtering technique because of their unknown characteristics. In this paper two algorithms, i.e. LMS, RLS are implemented and compared to remove EMG based impulsive noise from ECG signal. Comparison results that the RLS algorithm produces stable ECG, better convergence and better SNR improvement than LMS algorithm. © 2017 IEEE.
Citation: Proceedings of 2017 14th IEEE India Council International Conference, INDICON 2017, (2018)
URI: https://doi.org/10.1109/INDICON.2017.8488064
http://repository.iitr.ac.in/handle/123456789/16773
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Adaptive filter
ECG
Impulsive noise
LMS
RLS
ISBN: 9781538643181
Author Scopus IDs: 55649567481
55931851000
55482822100
Author Affiliations: Singh, P., Electrical Engineering Department, Indian Institute of Technology, Roorkee, 247667, India
Bhole, K., Instrumentation and Control Department, College of Engineering, Pune, 411005, India
Sharma, A., Electrical Engineering Department, Indian Institute of Technology, Roorkee, 247667, India
Appears in Collections:Conference Publications [EE]

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