Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms
International Journal of Biomedical Science and Engineering
Volume 2, Issue 4, August 2014, Pages: 27-32
Received: Aug. 20, 2014;
Accepted: Sep. 6, 2014;
Published: Sep. 20, 2014
Views 3258 Downloads 204
Brandon S. Coventry, Department of Electrical & Computer Engineering, Saint Louis University, 3450 Lindell Blvd., St. Louis, MO, 63103, USA
Cecil W. Thomas, Department of Biomedical Engineering, Saint Louis University, 3507 Lindell Blvd., St. Louis, MO 63103, USA
In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.
Brandon S. Coventry,
Cecil W. Thomas,
Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms, International Journal of Biomedical Science and Engineering.
Vol. 2, No. 4,
2014, pp. 27-32.
Chimene MF, Pallas-Areny R, A comprehensive model for power line interference in biopotential measurements. IEEE Transactions on Instrumentation and Measurement 2000, 49:535-540.
Mewett DT, Nazeran H, Reynolds KJ, Removing power line noise from recorded EMG. Proc. 23rd Annual Conference-IEEE-EMBS 2001, 3:2190-2193.
Ortolan RL, Mori RN, Pereira, Jr. RR, Cabral CMN, Pereira JC, Cliquet, Jr. A, Evaluation of adaptive/nonadaptive filtering and wavelet transform techniques for noise reduction in EMG mobile acquisition equipment. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003, 11:60-69.
Clifford G, Azuaje F, McSharrg P, The Physiological Basis of the Electrocardiogram. Advanced Methods and Tools for ECG Data Analysis, Aretech House: 2006.
Sheikh RR, Taj IA, Cardiac disorder diagnosis based on ECG segments analysis and classification. Third International Conference on Electrical Engineering 2009, 00:1-6.
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE, PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 2000, 101(23):e215-e220.
Thomas CW, Huebner WP, Leigh RJ, A Low-Pass Notch Filter for Bioelectric Signals. IEEE Transactions On Biomedical Engineering 1988, 35:496-498.
Patel AJ, Patel V, Nyquist Filter Design to Remove Power Line Interference from Bio-Electric Signals. International Journal of Engineering Trends and Technology 2012, 3:81-83.
Thomas C, Rzeszotarski M, Isenstein B, Signal averaging by parallel digital filters. IEEE Transactions on Acoustics, Speech and Signal Processing 1982, 30:338-346.
Rompelman O, Ros HH: Coherent averaging technique, A tutorial review Part 2: Trigger jitter, overlapping responses and non-periodic stimulation. Journal of Biomedical Engineering 1986, 8:30-35.
Rompelman O, Ros HH, Coherent averaging technique, A tutorial review Part 1, Noise reduction and the equivalent filter. Journal of Biomedical Engineering 1986, 8,24-29.
Iravanian S, Tung L, A novel algorithm for cardiac biosignal filtering based on filtered residue method. IEEE Transactions on Biomedical Engineering 2002, 49,1310-1317.
Burns M, Improving DSP-based measurements with spectral interpolation. Proc. International Test Conference 1995, 00:355-363.
Vullings R, de Vries B, Bergmans JWM, An Adaptive Kalman Filter for ECG Signal Enhancement. IEEE Transactions on Biomedical Engineering 2011, 58,1094-1103.
Li G, Zhang S, Xiao-jie Hao L, Zhou X, Robust power line interference suppression for ECG signal based on H filter. International Symposium on Bioelectronics and Bioinformatics(ISBB) 2011, 00:143-146.
McNamara DM, Majo JP, Ziarani AK, Elimination of Power Line Interference on Telephone Cables Under Frequency-Varying Conditions. IEEE Transactions on Instrumentation and Measurement 2008, 57:321-331.
Ziarani AK, Konrad A, A nonlinear adaptive method of elimination of power line interference in ECG signals. IEEE Transactions on Biomedical Engineering 2002, 49:540-547.
Martens SMM, Mischi M, Oei SG, Bergmans JWM, An Improved Adaptive Power Line Interference Canceller for Electrocardiography. IEEE Transactions on Biomedical Engineering 2006, 53:2220-2231.
Jiang Y, Ma W, and Zhao Z, The analysis of an adaptive sinusoidal interference cancellation system. International Conference on Electrical Machines and Systems 2008, 00:640-645.
Mallat S, Sparse Representations. A Wavelet Tour of Signal Processing, 1st. Burlington, MA: Elsevier; 2009.
Mahmoodabadi AASZ, Abolhasani MD, ECG Feature Extraction Using Daubechies Wavelets. Proc. of the Fifth IASTED International Conference Visualization, Imaging, and Image Processing 2005, 00:343-348.
Vetterli M, Kovačević J, Goyal VK, Signal Processing: Fourier and Wavelet Representations. Online. Available: http://www.fourierandwavelets.org.
Xu L, Cancellation of harmonic interference by baseline shifting of wavelet packet decomposition coefficients. IEEE Transactions on Signal Processing 2005, 53:222-230.
Zhang W, Wang X, Ge L, Zhang Z, Noise Reduction in ECG Signal Based on Adaptive Wavelet Transform. Proc. IEEE/EMBS Annual Conference 2005, 00:2699-2702.
Tikkanen P, Nonlinear wavelet and wavelet packet denoising of electrocardiogram. Biological Cybernetics 1999, 80:259-267.
Ando S, Nara T, An Exact Direct Method of Sinusoidal Parameter Estimation Derived From Finite Fourier Integral of Differential Equation. IEEE Transactions on Signal Processing, 57:3317-3329.
O. Paiss, Elimination of exponential interference form finite-length discrete signals. IEEE Transactions on Acoustics, Speech and Signal Processing 1990, 38:2189-2191.
B. Kwan, K. Ong, and R. Paramesran, Noise Removal of ECG Signals using Legendre Moments. Proc. IEEE/EMBS Annual Conference 2005, 00:5627-5630.
Levkov C, Mihov G, Ivanov R, Daskalov I, Christov I, Dotsinsky I, Removal of power-line interference from the ECG: a review of the subtraction procedure. BioMedical Engineering OnLine 2005, 4:50.
Mihov G, Subtraction procedure for removing powerline interference from ECG. 4th International Conference on Biomedical Engineering and Informatics (BMEI) 2011, 00:858-861.
Hu X, Xiao Z, Liu C, Reduction arithmetic for power line interference from ECG based on estimating sinusoidal parameters. in 3rd International Conference on Biomedical Engineering and Informatics (BMEI) 2010, 00:2089-2092.
Caroubalos C, Perche C, Metaxaki-Kossionides C, Sangriotis E, Maroulis D, Method for an automatic analysis of the ECG. J. Biomed Eng. 1988, 10:343-347.
Kelly KK, Calvert TW, The Removal of Coherent Noise from Short Digitized Records. IEEE Transactions on Biomedical Engineering 1970, BME-17:78-78.
Walter DO, Kelly KK, Calvert TW, Comments on The Removal of Coherent Noise from Short Digitized Records. IEEE Transactions on Biomedical Engineering 1970 BME-17, BME-17:357-359.
Köymen H, Ider YZ, Hizarci G, Kucukdeveci F, Tuzun F, Yaylali I, A novel quadrature interference subtraction technique in ECG noise reduction. Proc. Computers in Cardiology 1988, 00:409-412.
Nosan A, Punchalard R, Wardkein P, Koseeyaporn J, Novel algorithm for sinusoidal interference cancellation. International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2011, 00:1-4.