Entropy-Based Algorithms in the Analysis of Biomedical Signals
Biomedical signals are frequently noisy and incomplete. They produce complex and high-dimensional data sets. In these mentioned cases, the results of traditional methods of signal processing can be skewed by noise or interference present in the signal. Information entropy, as a measure of disorder o...
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| Format: | Article |
| Language: | English |
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2015-12-01
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| Series: | Studies in Logic, Grammar and Rhetoric |
| Online Access: | https://doi.org/10.1515/slgr-2015-0039 |
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doaj-7fedebc45e6c45a8b44b9918d6a774ae2021-09-05T14:00:42ZengSciendoStudies in Logic, Grammar and Rhetoric0860-150X2199-60592015-12-01431213210.1515/slgr-2015-0039slgr-2015-0039Entropy-Based Algorithms in the Analysis of Biomedical SignalsBorowska Marta0 Department of Materials and Biomedical Engineering, Faculty of Mechanical Engineering, Bialystok University of Technology, PolandBiomedical signals are frequently noisy and incomplete. They produce complex and high-dimensional data sets. In these mentioned cases, the results of traditional methods of signal processing can be skewed by noise or interference present in the signal. Information entropy, as a measure of disorder or uncertainty in the data, was introduced by Shannon. To date, many different types of entropy methods have appeared with many different application areas. The purpose of this paper is to present a short overview of some methods of entropy analysis and to discuss their suitability for use in the analysis of biomedical signals.https://doi.org/10.1515/slgr-2015-0039 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Borowska Marta |
| spellingShingle |
Borowska Marta Entropy-Based Algorithms in the Analysis of Biomedical Signals Studies in Logic, Grammar and Rhetoric |
| author_facet |
Borowska Marta |
| author_sort |
Borowska Marta |
| title |
Entropy-Based Algorithms in the Analysis of Biomedical Signals |
| title_short |
Entropy-Based Algorithms in the Analysis of Biomedical Signals |
| title_full |
Entropy-Based Algorithms in the Analysis of Biomedical Signals |
| title_fullStr |
Entropy-Based Algorithms in the Analysis of Biomedical Signals |
| title_full_unstemmed |
Entropy-Based Algorithms in the Analysis of Biomedical Signals |
| title_sort |
entropy-based algorithms in the analysis of biomedical signals |
| publisher |
Sciendo |
| series |
Studies in Logic, Grammar and Rhetoric |
| issn |
0860-150X 2199-6059 |
| publishDate |
2015-12-01 |
| description |
Biomedical signals are frequently noisy and incomplete. They produce complex and high-dimensional data sets. In these mentioned cases, the results of traditional methods of signal processing can be skewed by noise or interference present in the signal. Information entropy, as a measure of disorder or uncertainty in the data, was introduced by Shannon. To date, many different types of entropy methods have appeared with many different application areas. The purpose of this paper is to present a short overview of some methods of entropy analysis and to discuss their suitability for use in the analysis of biomedical signals. |
| url |
https://doi.org/10.1515/slgr-2015-0039 |
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