Abstract
Signal processing has a rich background and its importance is extended in fields as biomedical engineering, acoustics, sonar. Electrocardiogram (ECG) is used for the primary diagnosis of coronary heart diseases which shows electrophysiology of the heart and changes like arrhythmia as well as conduction defects. ECG in signal processing is one of the important research area in Biomedical signal processing. Recent advances in computer hardware and digital filter approach in signal processing have made it feasible to use ECG signals to communicate with a computer. So quality diagnosis of ECG is a technological challenge. This paper introduces comprehensive survey of digital filtering methods to cope with the noise artefacts in the ECG signal. The aim of this paper is to extract important features of ECG using signal processing techniques. In this paper, approaches of different digital filter for ECG in signal processing are discussed. Thus nowadays, importance of signal processing appears to be no visible sign of saturation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cramer, E., McManus, C.D., Neubert, D.: Estimation and removal of power line interference in the electrocardiogram: a comparison of digital approaches. Comput. Biomed. Res. 20(1), 12–28 (1987)
Challis, R.E., Kitney, R.I.: The design of digital filters for biomedical signal processing, Part 3: The design of Butterworth and Chebyshev filters. J. Biomed. Eng. 5(2), 91–102 (1983)
De Pinto, V.: Filters for the reduction of baseline wander and muscle artifact in the ECG. J. Electrocardiol. 25 (suppl.), 40–48 (1992)
Frankel, R.A., Pottala, E.W., Bowser, R.W.J.J.: A filter to suppress ECG baseline wander and preserve ST-segment accuracy in a real time environment. J. Electrocardiol. 24(4), 315–323 (1991)
Gaydecki, P.: A real time programmable digital filter for biomedical signal enhancement incorporating a high-level design interface. Physiol. Meas. 21(1), 187–196 (2000)
Ifeachor, E.C., Jervis, B.W.: Digital signal processing: a practical approach. Addison-Wesley, Wokingham (1993)
Carr, J.J., Brown, J.M.: Introduction to Biomedical Equipment Technology, 4th edn. Pearson Education (2007) ISBN 81-7758-883-4
Webster, J.G.: Medical Instrumentation, 3rd edn. John Wiley & Sons Inc. (2005) ISBN 9971-51-270-X
Kligfield, P., Gettes, L., Bailey, J., et al.: Recommendations for the standardization and Interpretation of the Electrocardiogram. J. Am Coll. Cardiol. 49, 276–281 (2007)
Sornmo, L.: Time-varying digital filtering of ECG baseline wander. Med. Biol. Eng. Comput. 31(5), 503–508 (1993)
Van Alste, J.A., Van Eck, W., Herrmann, O.E.: ECG baseline wander reduction using linear phase filters. Comput. Biomed. Res. 19(5), 417–427 (1986)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer India
About this paper
Cite this paper
Jagtap, S.K., Uplane, M.D. (2013). Digital Filter Approach for ECG in Signal Processing. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_131
Download citation
DOI: https://doi.org/10.1007/978-81-322-0740-5_131
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
eBook Packages: EngineeringEngineering (R0)