Abstract
Biomedical signal such as ECG is extremely important in the diagnosis of patients and is commonly recorded with a noise. Many different kinds of noise exist in biomedical environment such as Power Line Interference Noise (PLIN). Adaptive filtering is selected to contend with these defects, the adaptive filters can adjust the filter coefficient with the given filter order. The objectives of this paper are: first an application of the Least Mean Square (LMS) algorithm, Second is an application of the Recursive Least Square (RLS) algorithm to remove the PLIN. The LMS and RLS algorithms of the adaptive filter were proposed to adapt the filter order and the filter coefficients simultaneously, the performance of existing LMS algorithm of the adaptive filters cause completely removing of the PLIN comparing with the RLS algorithm that reducing the noise level only.
References
[2] J. J. Carr and J. M. Brown, Introduction to Biomedical Equipment Technology, Prentice Hall, pp. 168-389, 1997.
[3] J. S. Sahambi, S. N. Tandon, and R. K. P. Bhatt, “Wavelet based ST-segment analysis,” Med.Biol. Eng. & Comput., vol. 36, no. 5, pp. 568- 572, September 1998.
[4] The ‘NURSING STANDARD’- the UK’s best selling nursing journal. RCN publishing 2005. From the archives of the journal, Quick reference Guide 4 Electrocardiography. http://www.nursingstandard. Co.uk/archives/ns/residentpdfs/quickrefPDFfiles/Quickref4.pdf
[5] ‘Essortment'- the online website about the information you want to know. In 2005 Pagewiseinc, SouthIH-35, SteQ-11Round Rock, TX 78681.
http://nh.essortment.com/whatiselectrc_okr.htm
[6] Kamaran Jamshaid, Omar Akram, Farooq Sabir, Dr. Ismail Shah, and Dr. Jamil Ahmed, “Application of Adaptive and Non Adaptive Filters in ECG signal Processing”, IEEE Transactions on Biomedical Engineering , Vol. 39, October, 1992.
[7] Hrishikesh Gokhale, “Biomedical Digital Signal Processing” ,1995
http://www.ebar.dtu.dk/ http://homepages.enterprise.net/djenkins/ecghome.html
[8] Application Of Adaptive and Non Adaptive Filters In ECG signal Processing by Kamrun Jamshaid, Omar Akram, Farooq Sabir, Dr.Syed Ismail Shah, Faculty of Electronic Engineering, Dr. Jamil Ahmed, Faculty of Computer science and Engineering, GIK Institute of Engineering Sciences and Technology (1999).
[9] Paulo S.R. Diniz, “Adaptive Filtering Algoriyhms and Practical Implementation”, copyright © 2002 by Kluwer Academic Publishers, 2002.
[10] Elanix, “Adaptive Digital Signal Processing”, http://www.entegra.co.uk
[11] David J. Defatta, Joseph G. Lucas, and William S. Hodgkiss, “Digital Signal Processing: A System Design Approach”, copyright © 1988 by John Wiley and Sons, Inc., 1988.
[12] [12]http://www.it.lut.fi/mat/kesakoulu/yorgon_kalvot/adaptive_filtering_chapter4.ppt#256,1,Slide 1
[13] Steven W. Smith, "The Scientist and Engineer's Guide to Digital Signal Proceesing"
Copyright: Open Access authors retain the copyrights of their papers, and all open access articles are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations. While the advice and information in this journal are believed to be true and accurate on the date of its going to press, neither the authors, the editors, nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.