DocumentCode :
3472620
Title :
An intelligent adaptive filter for fast tracking and elimination of power line interference from ECG signal
Author :
Razzaq, Nauman ; Butt, Muhammad ; Salman, Molly ; Ali, Raian ; Sadiq, Ismail ; Munawar, Khalid ; Zaidi, Tahir
Author_Institution :
Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear :
2013
fDate :
20-22 June 2013
Firstpage :
251
Lastpage :
256
Abstract :
The ECG (Electrocardiogram) signal reflects the electrical activity of the heart. Since amplitude of ECG signal is of order of few mV, it is susceptible to many types of noises and amongst which the most disturbing is power line interference (PLI). Variations in frequency of PLI further complicate the problem which can be taken care by implementation of adaptive notch filter (ANF). ANF normally requires a reference input which is not possible in all cases. In this paper, we have proposed an intelligent adaptive filter which does not require a reference input. Proposed method first detects the frequency of PLI noise then adaptively tracks and eliminates PLI from ECG signal.
Keywords :
adaptive filters; electrocardiography; medical signal processing; notch filters; signal denoising; ECG signal amplitude; adaptive notch filter; electrical activity; electrocardiogram; heart; intelligent adaptive filter; noises; power line interference elimination; power line interference fast-tracking; Adaptive filters; Computational modeling; Discrete Fourier transforms; Electrocardiography; Frequency estimation; Interference; Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on
Conference_Location :
Porto
Type :
conf
DOI :
10.1109/CBMS.2013.6627797
Filename :
6627797
Link To Document :
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