A suppression of an impulsive noise in ECG signal processing
The biomedical signals are commonly recorded with a noise. Many different kinds of noise exist in biomedical environment. One of the noises is a waveform of an electrical activity of muscles. This "natural" distortion is usually modeled with a white Gaussian noise. But such assumption is n...
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| Published in | Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 2006; pp. 596 - 599 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
United States
2004
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| Online Access | Get full text |
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| Summary: | The biomedical signals are commonly recorded with a noise. Many different kinds of noise exist in biomedical environment. One of the noises is a waveform of an electrical activity of muscles. This "natural" distortion is usually modeled with a white Gaussian noise. But such assumption is not always true, because real-life muscle noise has sometimes impulsive character. First objective of this paper is an application of the alpha-stable distribution as a model of the real-life muscle noise in the ECG signal. Second objective of this paper is an application of a family of M-filters to suppression an impulsive noise in biomedical signals (ECG signals). The reference filter is the median filter. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1557-170X |