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The Frequency Distribution Analysis of Biological Data to Detect the Regulatory Status of Organisms

Received: 25 September 2022     Accepted: 14 October 2022     Published: 21 October 2022
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Abstract

The state of the human regulatory systems, especially the autonomic nervous system, is of great importance for health. Stress in the sense of disstress, which leads to rigidity, is just as unhealthy as chaos in the regulations. In humans, we can easily determine the current state with the frequency distribution analysis of the heart rate variability (HRV). Identical distances of the heartbeats (rigidity) include the risk of sclerosis and myocardial infarction, a large variability of the distances (arrythmia = chaos) can lead to embolisms. We can distinguish five states of regulation: disorder, health and order are variations within the physiology, chaos and rigidity are pathological. The investigation can be carried out with the help of the chi-square analysis by approximation to the Bell`s curve (randomness, chaos) and the lognormal distribution (order) inside the Poincare plot. It is not the mean value that represents health, but the golden ratio. This applies not only to the organism, but to all regulated systems, including society. From this, one can see what changes in attitudes and behaviors should be done in order to to ensure a healthier life.

Published in American Journal of Health Research (Volume 10, Issue 5)
DOI 10.11648/j.ajhr.20221005.13
Page(s) 197-200
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

System Analysis, Frequency Distribution Analysis, Regulation, Biological Systems, Biological Data Regulation

References
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[2] Gonzalez Galli, Leonardo Martin; Meinardi, Elsa N. (March 2011). "The Role of Teleological Thinking in Learning the Darwinian Model of Evolution". Evolution: Education and Outreach. 4 (1): 145–152. doi: 10.1007/s12052-010-0272-7.
[3] Shannon, Claude E.; Weaver, Warren (1963). The mathematical theory of communication (4. print. ed.). Urbana: University of Illinois Press. ISBN 978-0252725487.
[4] Doepp M, Edelmann G, Cohen S, Popp, FA, Yan Y: A new method for health status assessment using frequency distribution of skin conductivity values. Erfahrungsheilkunde (EHK), 2002; 1: 1-7.
[5] Doepp M, Edelmann G: Clinical assessment of frequencydistribution analysis of biological data. Erfahrungsheilkunde (EHK), 2003; 12: 818-824.
[6] Doepp M, Edelmann G: System Patterns of the Human Organism and their Heredity. pp 375-382, in: Lazakidou, A. A, (ed.), Handbook of Research on Informatics in Healthcare and Biomedicine, Idea Group Ref., Hershey, PA; 2006; ISBN: 1-59140-982-9.
[7] Gebelein H, Heite HJ: On the imbalance of biological frequency distributions. Klin. Wochenschrift. 1950; 28: 41.
[8] Klimek W: The electrical skin conductivity as a mirror of the internal regulatory state. Erfahrungsheilkunde (EHK). 2004; 53: 419-422.
[9] Popp FA: New horizons in medicine. Haug, Heidelberg, 1987.
[10] Popp FA, Klimek W, Maric-Oehler W, Schlebusch KP: Visualization of the guiding paths ("meridians") in the infrared spectral range. Erfahrungsheilkunde (EHK). 2005; 54: 576-579.
[11] Popp FA: Regulation: Diagnosis and therapy as a unit. Erfahrungsheilkunde (EHK). 2007; 56: 330-336.
[12] "Poincaré's Philosophy of Mathematics", entry in the Internet Encyclopedia of Philosophy.
[13] Kenney, J. F.; Keeping, E. S. (1962). Mathematics of Statistics, Part 1 (3rd ed.). Princeton, NJ: Van Nostrand Reinhold.
[14] Manikandan, S (1 January 2011). "Frequency distribution". Journal of Pharmacology & Pharmacotherapeutics. 2 (1): 54–55. doi: 10.4103/0976-500X.77120. ISSN 0976-500X. PMC 3117575. PMID 21701652.
[15] Kendall, Maurice George (1949). "On the Reconciliation of Theories of Probability". Biometrika. Biometrika Trust. 36 (1/2): 101–116. doi: 10.1093/biomet/36.1-2.101. JSTOR 2332534.
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    Manfred Doepp. (2022). The Frequency Distribution Analysis of Biological Data to Detect the Regulatory Status of Organisms. American Journal of Health Research, 10(5), 197-200. https://doi.org/10.11648/j.ajhr.20221005.13

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    ACS Style

    Manfred Doepp. The Frequency Distribution Analysis of Biological Data to Detect the Regulatory Status of Organisms. Am. J. Health Res. 2022, 10(5), 197-200. doi: 10.11648/j.ajhr.20221005.13

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    AMA Style

    Manfred Doepp. The Frequency Distribution Analysis of Biological Data to Detect the Regulatory Status of Organisms. Am J Health Res. 2022;10(5):197-200. doi: 10.11648/j.ajhr.20221005.13

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  • @article{10.11648/j.ajhr.20221005.13,
      author = {Manfred Doepp},
      title = {The Frequency Distribution Analysis of Biological Data to Detect the Regulatory Status of Organisms},
      journal = {American Journal of Health Research},
      volume = {10},
      number = {5},
      pages = {197-200},
      doi = {10.11648/j.ajhr.20221005.13},
      url = {https://doi.org/10.11648/j.ajhr.20221005.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20221005.13},
      abstract = {The state of the human regulatory systems, especially the autonomic nervous system, is of great importance for health. Stress in the sense of disstress, which leads to rigidity, is just as unhealthy as chaos in the regulations. In humans, we can easily determine the current state with the frequency distribution analysis of the heart rate variability (HRV). Identical distances of the heartbeats (rigidity) include the risk of sclerosis and myocardial infarction, a large variability of the distances (arrythmia = chaos) can lead to embolisms. We can distinguish five states of regulation: disorder, health and order are variations within the physiology, chaos and rigidity are pathological. The investigation can be carried out with the help of the chi-square analysis by approximation to the Bell`s curve (randomness, chaos) and the lognormal distribution (order) inside the Poincare plot. It is not the mean value that represents health, but the golden ratio. This applies not only to the organism, but to all regulated systems, including society. From this, one can see what changes in attitudes and behaviors should be done in order to to ensure a healthier life.},
     year = {2022}
    }
    

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    AB  - The state of the human regulatory systems, especially the autonomic nervous system, is of great importance for health. Stress in the sense of disstress, which leads to rigidity, is just as unhealthy as chaos in the regulations. In humans, we can easily determine the current state with the frequency distribution analysis of the heart rate variability (HRV). Identical distances of the heartbeats (rigidity) include the risk of sclerosis and myocardial infarction, a large variability of the distances (arrythmia = chaos) can lead to embolisms. We can distinguish five states of regulation: disorder, health and order are variations within the physiology, chaos and rigidity are pathological. The investigation can be carried out with the help of the chi-square analysis by approximation to the Bell`s curve (randomness, chaos) and the lognormal distribution (order) inside the Poincare plot. It is not the mean value that represents health, but the golden ratio. This applies not only to the organism, but to all regulated systems, including society. From this, one can see what changes in attitudes and behaviors should be done in order to to ensure a healthier life.
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Author Information
  • Holistic Center, Abtwil, Switzerland

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