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Computer Based Model to Filter Real Time Acquired Human Carotid Pulse
Dipali Bansal
Pages - 42 - 51     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 1    |    Publication Date - June 2013  Table of Contents
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KEYWORDS
Carotid Pulse, FIR Filter, IIR Filter, Non-Invasive, Real Time, Simulink.
ABSTRACT
Acquisition and reliable parameter extraction of human bio-signals is extremely sensitive to interferences. Analogue filters have been used in the past to remove artefacts but they only help to suppress these contaminations and are difficult to realize. Their simulated computer based digital equivalents are however a viable and effective solution to this. But these filters are mostly tested on stored database and so there is a need to develop a system where real time acquired human signal is filtered and analyzed online on a computer. Present paper deals with design and simulation of digital techniques like FIR filter, IIR notch filter, spectrum analysis and convolution implemented on real time, non-invasively acquired carotid pulse wave on a computer based environment named Simulink using FDA tool. Results obtained show the accuracy of the designed techniques and gives an easy model to online acquire and filter bio-signals sitting at home.
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1 . M. L. Ahlstrom and W. J. Tompkins, Digital Filters for Real-Time ECG Signal Processing Using Microprocessors, IEEE transactions on Biomedical Engineering, vol. BME-32, no. 9, sept. 1985,pp 708-13.
2 . T. Starr, Filtering A Noisy ECG Signal Using Digital Techniques, April 19, 2005.
3 . B. F. Li, B. S. Yin, D. K. Yu, Fast elimination of 50-Hz noise in PC-based application system, Di Yi Jun Yi Da Xue Xue Bao, 2002 Dec;22(12):1131-2, PMID: 12480596.
4 . M. Ferdjallah, R. E. Barr, Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals, IEEE Trans Biomed Eng. 1994 Jun; 41(6):529-36.
5 . S. Poornachandra, N. Kumaravel, A novel method for the elimination of power line frequency in ECG signal using hyper shrinkage function, Digital Signal Processing archive Volume 18, Issue 2(March 2008). 10.1016/j.dsp.2007.03.011.
6 . R. M. Lu, B. M. Steinhaus, A simple digital filter to remove line-frequency noise in implantable pulse generators, Biomed Instrum Technol. 1993 Jan-Feb; 27(1):64-68.
7 . C. D. McManus, K. D. Neubert, E. Cramer, Characterization and elimination of AC noise in electrocardiograms: a comparison of digital filtering methods, Comput Biomed Res. 1993 Feb;26(1):48-67.
8 . S. Tabakov, I. Iliev, V. Krasteva, Online digital filter and QRS detector applicable in low resource ECG monitoring systems, Ann Biomed Eng. 2008 Nov; 36(11):1805-15.
9 . I. Dotsinsky, T. Stoyanov, Power-line interference cancellation in ECG signals, Biomed Instrum Technol. 2005 Mar-Apr; 39(2):155-62.
10 . C. Levkov, G. Mihov, R. Ivanov, I. Daskalov, I. Christov and I. Dotsinsky, Removal of powerline interference from the ECG: a review of the subtraction procedure, BioMedical Engineering OnLine 2005, 4:50 doi:10.1186/1475-925X-4-50.
11 . A. Shukla, Exploring and Prototyping Designs for Biomedical Applications, Xcellence in automotive & ISM, Xcell Journal, Third Quarter 2008, pp 18-21.
12 . L. Hejjel, Suppression of power-line interference by analogue notch filtering in the ECG signal for heart rate variability analysis: to do or not to do? Med Sci Monit. 2004 Jan; 10(1):MT6-13.
13 . M. S. Chavan, R. A. Agarwala, M. D. Uplane, Design and implementation of digital FIR equiripple notch filter on ECG signal for removal of power line interference, WSEAS transactions on signal processing, issue 4, volume 4, april 2008, pp- 221 – 230.
14 . M. Khan & A. K. Salhan, Biofeedback controlled anti-G suit: a computer simulation, Int.J. of Aviation, Space & Env. Med. Mar 2007, Vol.78, Issue 3.
15 . D. Bansal, M. Khan, A. K. Salhan, Real time acquisition and PC to PC wireless Transmission of Human Carotid pulse Waveform, Published in the International Journal ‘Computers in Biology & Medicine’, Elsevier, Science Direct, 39 (2009) 915-920.
16 . J. R. Johnson, Introduction to Digital Signal Processing, Prentice Hall of India Private Limited,Englewood Cliffs, NJ, 1992.
17 . M. Tarvainen, Estimation Methods for Nonstationary Biosignals, Doctoral dissertation, Kuopio university, KUOPIO 2004, ISSN 1235-0486.
18 . MATLAB: http://www.mathworks.com.
Dr. Dipali Bansal
Manav Rachna International University - India
dipali.bansal@yahoo.co.in