Recognition of biosignals with nonlinear properties by approximate entropy parameters
More and more attention is being paid to the development of methods for the objective analysis of biosignals for computer medical systems. The search for new non-standard methods is aimed at improving the reliability of diagnostics and expanding the areas of their practical application. In thi...
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Samara National Research University
2023-10-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470518e.html |
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| author | L.A. Manilo A.P. Nemirko |
| author_facet | L.A. Manilo A.P. Nemirko |
| author_sort | L.A. Manilo |
| collection | DOAJ |
| description | More and more attention is being paid to the development of methods for the objective analysis of biosignals for computer medical systems. The search for new non-standard methods is aimed at improving the reliability of diagnostics and expanding the areas of their practical application.
In this paper, methods for recognizing biomedical signals by the degree of severity of their nonlinear components are considered. An approach based on the use of approximate entropy closely related to Kolmogorov entropy (K-entropy) is used. Its parameters can be used to detect dynamic irregularities associated with nonlinear properties of signals. The algorithm for calculating this characteristic is consid-ered in detail. Based on model experiments, its main properties are analyzed.
It is shown that the entropy of a finite sequence, calculated in accordance with a multistep pro-cedure, can give an erroneous estimate of the degree of regularity of the signal. A procedure for correcting the approximate entropy is proposed, which expands the area of analysis of this function for estimating nonlinearity. It has been established that the transition to adjusted entropy makes it possible to increase the reliability of the detection of chaotic components. A set of entropy parameters is proposed for constructing recognition procedures.
Examples of solving the problems of detecting atrial fibrillation by the parameters of the non-linearity of the rhythmogram, as well as assessing the depth of anesthesia by the electroencephalogram (EEG) are given. Experiments conducted on real recordings of electrocardiogram (ECG) and EEG signals have shown the high efficiency of the proposed algorithms.
The proposed methods and algorithms can be used in the development of systems for monitoring ECG of cardiological patients, as well as monitoring the depth of anesthesia by EEG during surgical operations. |
| format | Article |
| id | doaj-art-7d30ebda6ec649b198feed43eb89309e |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2023-10-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-7d30ebda6ec649b198feed43eb89309e2025-01-23T06:09:30ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-10-0147583284010.18287/2412-6179-CO-1345Recognition of biosignals with nonlinear properties by approximate entropy parametersL.A. Manilo0A.P. Nemirko1Saint Petersburg Electrotechnical University "LETI"Saint Petersburg Electrotechnical University "LETI"More and more attention is being paid to the development of methods for the objective analysis of biosignals for computer medical systems. The search for new non-standard methods is aimed at improving the reliability of diagnostics and expanding the areas of their practical application. In this paper, methods for recognizing biomedical signals by the degree of severity of their nonlinear components are considered. An approach based on the use of approximate entropy closely related to Kolmogorov entropy (K-entropy) is used. Its parameters can be used to detect dynamic irregularities associated with nonlinear properties of signals. The algorithm for calculating this characteristic is consid-ered in detail. Based on model experiments, its main properties are analyzed. It is shown that the entropy of a finite sequence, calculated in accordance with a multistep pro-cedure, can give an erroneous estimate of the degree of regularity of the signal. A procedure for correcting the approximate entropy is proposed, which expands the area of analysis of this function for estimating nonlinearity. It has been established that the transition to adjusted entropy makes it possible to increase the reliability of the detection of chaotic components. A set of entropy parameters is proposed for constructing recognition procedures. Examples of solving the problems of detecting atrial fibrillation by the parameters of the non-linearity of the rhythmogram, as well as assessing the depth of anesthesia by the electroencephalogram (EEG) are given. Experiments conducted on real recordings of electrocardiogram (ECG) and EEG signals have shown the high efficiency of the proposed algorithms. The proposed methods and algorithms can be used in the development of systems for monitoring ECG of cardiological patients, as well as monitoring the depth of anesthesia by EEG during surgical operations.https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470518e.htmlrecognition of biosignalsnonlinear dynamicsapproximate entropyecg and eeg analysisatrial fibrillationstages of anesthesia |
| spellingShingle | L.A. Manilo A.P. Nemirko Recognition of biosignals with nonlinear properties by approximate entropy parameters Компьютерная оптика recognition of biosignals nonlinear dynamics approximate entropy ecg and eeg analysis atrial fibrillation stages of anesthesia |
| title | Recognition of biosignals with nonlinear properties by approximate entropy parameters |
| title_full | Recognition of biosignals with nonlinear properties by approximate entropy parameters |
| title_fullStr | Recognition of biosignals with nonlinear properties by approximate entropy parameters |
| title_full_unstemmed | Recognition of biosignals with nonlinear properties by approximate entropy parameters |
| title_short | Recognition of biosignals with nonlinear properties by approximate entropy parameters |
| title_sort | recognition of biosignals with nonlinear properties by approximate entropy parameters |
| topic | recognition of biosignals nonlinear dynamics approximate entropy ecg and eeg analysis atrial fibrillation stages of anesthesia |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470518e.html |
| work_keys_str_mv | AT lamanilo recognitionofbiosignalswithnonlinearpropertiesbyapproximateentropyparameters AT apnemirko recognitionofbiosignalswithnonlinearpropertiesbyapproximateentropyparameters |