Improvement of an extended kalman filter power line interference suppressor for ECG signals

Computers in Cardiology

Volumn 34, Issue , 2007, Pages 553-556

  Avendano Valencia L D ^a,d   Avendano L E ^b   Ferrero, J M ^c   Castellanos Dominguez G ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b UNIVERSIDAD TECNOLÓGICA DE PEREIRA   (Colombia)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^d NONE   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION INDICES; ECG SIGNALS; FILTERING METHODS; FREQUENCY VARIATIONS; KALMAN-FILTERING; NOISY SIGNALS; NON-STATIONARITIES; POWER LINES; POWER-LINE INTERFERENCES; STATE SPACE MODELS; TRACKING METHODS; TRANSMISSION LINES;

BANDPASS FILTERS; CARDIOLOGY; CELLULAR RADIO SYSTEMS; CONTROL THEORY; ELECTRIC LINES; ELECTROCARDIOGRAPHY; KALMAN FILTERS; SIGNAL PROCESSING;

ELECTROCHROMIC DEVICES;

EID: 62949106211     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745545     Document Type: Conference Paper

References (13)

1. Pei S, Tseng C. Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression. IEEE Transactions on Biomedical Engineering November 1995;42:1128-1132.
2. Sedlàcek M, Blaska J. Low uncertainty power-line frequency estimation for distorted and noisy harmonic signals. Elsevier Measurement 2004;.
3. Sörnmo L, Laguna P. Bioelectrical Signal Processing in Cardiac and Neurological Applications. Elsevier Academic Press, 2005.
4. Ziarani A, Konrad A. A nonlinear adaptive method of elim ination of power line interference in ECG signals. IEEE Transactions on Biomedical Engineering 2002;.
5. Haykin S. Kalman Filtering and Neural Networks. Adaptive and learning systems for signal processing, communications and control, first edition. Wiley Interscience, 2001.
6. Scala BL, Bitmead RR. Design of an extended Kalman filter frequency tracker. IEEE Transactions on Signal Processing Vol 44 No 3 1996;.
7. Bittanti S, Savaresi SM. On the parameterization and design of an extended Kalman filter frequency tracker. IEEE Transactions on Automatic Control Vol 45 No 9 2000;.
8. Avendano E, Avendano D, Castellanos C, Villegas E. Reduction of power line interference in ECG signals using Kalman filtering and delta operator. 23rd ISPE International Conference on CADCAM Robotics and Factories of the Future 2007;2:813-817.
9. Holland JH. Adaptation in Natural and Artifical Systems. Ann Arbor, MI: University of Michigan Press, 1975.
10. Zhang BT, Kim JJ. Comparison of selection methods for evolutionary optimization, 2000.
11. Whitley D. An overview of evolutionary algorithms: practical issues and common pitfalls. Information and Software Technology 2001;43(14):817-831.
12. DeJong KA. An analysis of the Behavior of a class of Genetic Adaptative System. Ph.D. thesis, University of Michigan, 1975.
13. Morales RO, Sánchez MP, Ginori JL, Ábalo RG, Ramos R. Evaluation of QRS morphological classifiers in the presence of noise. Computers and Biomedical Research 1997; (30):200-210.