Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review)
The presence of biological rhythms is a characteristic of all living organisms. Over the past 60 years, scientists around the world have accumulated a huge amount of data on rhythmic processes in living systems at various levels. The acquired knowledge has found applications in human economic activi...
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MDPI AG
2023-07-01
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Online Access: | https://www.mdpi.com/2227-7390/11/15/3307 |
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author | Maxim E. Astashev Dmitriy A. Serov Sergey V. Gudkov |
author_facet | Maxim E. Astashev Dmitriy A. Serov Sergey V. Gudkov |
author_sort | Maxim E. Astashev |
collection | DOAJ |
description | The presence of biological rhythms is a characteristic of all living organisms. Over the past 60 years, scientists around the world have accumulated a huge amount of data on rhythmic processes in living systems at various levels. The acquired knowledge has found applications in human economic activity and medicine. The ultradian (less than a day) rhythms at the organismal, organ, and cellular levels are characterized by high diversity. Unfortunately, biorhythms in different systems are considered, most often, in isolation from each other. Much knowledge about biorhythms was obtained using expert evaluation methods, and later methods of spectral analysis were used to describe biorhythms. Ultradian rhythms have a relatively short duration; therefore, they can be characterized by spectral analysis methods. More and more researchers believe that in order to further expand the understanding of the nature and purpose of biorhythms, the use of more advanced methods of mathematical processing is required, and rhythms in different organs, tissues, and cells should be considered parts of a single system. This review is intended to provide the reader with the variety of ultradian rhythms in living systems (organismal, organ, cellular, molecular levels), the mechanisms of their generation, and their functions to give the reader a picture of the possible relationships between these rhythms. Further, the reader will be able to get acquainted with the variety of mathematical methods for analyzing biorhythms, including bispectral and cross-correlation analyses. |
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issn | 2227-7390 |
language | English |
last_indexed | 2024-03-11T00:22:44Z |
publishDate | 2023-07-01 |
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spelling | doaj.art-b03e9426cf3e4ad3a7506eeadc3f2bdd2023-11-18T23:14:55ZengMDPI AGMathematics2227-73902023-07-011115330710.3390/math11153307Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review)Maxim E. Astashev0Dmitriy A. Serov1Sergey V. Gudkov2Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, RussiaProkhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, RussiaProkhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, RussiaThe presence of biological rhythms is a characteristic of all living organisms. Over the past 60 years, scientists around the world have accumulated a huge amount of data on rhythmic processes in living systems at various levels. The acquired knowledge has found applications in human economic activity and medicine. The ultradian (less than a day) rhythms at the organismal, organ, and cellular levels are characterized by high diversity. Unfortunately, biorhythms in different systems are considered, most often, in isolation from each other. Much knowledge about biorhythms was obtained using expert evaluation methods, and later methods of spectral analysis were used to describe biorhythms. Ultradian rhythms have a relatively short duration; therefore, they can be characterized by spectral analysis methods. More and more researchers believe that in order to further expand the understanding of the nature and purpose of biorhythms, the use of more advanced methods of mathematical processing is required, and rhythms in different organs, tissues, and cells should be considered parts of a single system. This review is intended to provide the reader with the variety of ultradian rhythms in living systems (organismal, organ, cellular, molecular levels), the mechanisms of their generation, and their functions to give the reader a picture of the possible relationships between these rhythms. Further, the reader will be able to get acquainted with the variety of mathematical methods for analyzing biorhythms, including bispectral and cross-correlation analyses.https://www.mdpi.com/2227-7390/11/15/3307biorhythmswavelet transformbispectral analysiscorrelation analysisEEGmicrocirculation |
spellingShingle | Maxim E. Astashev Dmitriy A. Serov Sergey V. Gudkov Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) Mathematics biorhythms wavelet transform bispectral analysis correlation analysis EEG microcirculation |
title | Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) |
title_full | Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) |
title_fullStr | Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) |
title_full_unstemmed | Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) |
title_short | Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review) |
title_sort | application of spectral methods of analysis for description of ultradian biorhythms at the levels of physiological systems cells and molecules review |
topic | biorhythms wavelet transform bispectral analysis correlation analysis EEG microcirculation |
url | https://www.mdpi.com/2227-7390/11/15/3307 |
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