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Heartbeat and Respiration: Toward a Functional Chronobiology

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Abstract

The search for the underlying lawfulness between respiration and heart rate variability has a long history and continues to be at the center of scientific inquiry. Because respiration is partially under conscious control, quantification of its effect on HR presents significant methodological limitations. The discovery of non-equilibrium processes in medicine and biology paved the way toward an expanded view of homeostasis based on nonlinear dynamics. Pulse and respiration are examples of a periodic, nonlinear behavior, exhibiting phase and frequency synchronization at whole number ratios, best demonstrated during periods of rest and the regenerative phase of sleep. The combined concepts of open systems and self-organization offer the possibility of understanding the organism as a spatial structure with life processes, i.e., nourishment, breathing, circulation, growth, regeneration, reproduction, and sense perception, proceeding in time. Life processes are closely linked to external (macrocosmic) rhythms in plants but become entrained and/or internalized in animals and humans. Their synchronization enables the emergence of a higher-level organization that is far-from-thermodynamic equilibrium. The spectrum of human biological rhythms spans several orders of magnitude, from high frequencies in the nervous system to intermediate, as extant in pulse and respiration, and to low-range frequencies in the metabolic system. The cardiovascular system entrains macrocosmic (external) and microcosmic (internal) rhythms by means of transcriptional and non-transcriptional metabolic clocks which persist even in explanted heart preparations and in stored blood. A functional division of the time organism into informational, rhythmical, and metabolic parts provides the bridge between the somatic and psychological functions on the one hand, and between the outer (macrocosmic) and inner (microcosmic) environments on the other. While metabolic processes that provide energy and sustain the function of the entire organism exhibit inherent anabolic/catabolic rhythms, reflected in fluctuations of core body temperature, the brain-bound consciousness is a catabolic process linked to the day/night cycle.

Organisms are changing rhythms and thereby express their non-material nature; non-living materials are condensed, crystallized, or frozen rhythms…which are likewise expressions of their non-material nature.

Ulrich W. Weger (2014)

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Notes

  1. 1.

    HRV analysis in time domain provides a measure of total variability in a given period by statistical measures (mean or standard deviation), while analysis in frequency domain, by means of spectral analysis (fast Fourier transform in different frequency bands), can identify specific components of this variability, i.e., respiratory sinus arrhythmia. Linear approaches describe situations where causes are proportional to effects. Nonlinear dynamics approach to HRV analysis uses autoregressive model (chaos theory) where the output variable depends on the previous values and on the unpredictable (stochastic) term. Analytical methods based on chaos theory identify the underlying order in a seemingly random sequence of recurring events. While truly chaotic behavior is random, deterministic chaotic behavior recurs, revealing a hidden order in chaos.

  2. 2.

    Note that phase synchronization between two oscillating systems may be observed without modulation, such as synchronous beating of pendulum clocks first observed by Christiaan Huygens in 1665.

  3. 3.

    The beneficial effect of recitation has been recognized since the antiquity. Known are speech chorus performances of Homer’s classic works, e.g., Iliad, written in hexameter, to large crowds of listeners at Epidaurus.

  4. 4.

    In 1951 B. Belousov attempted to simulate a test-tube model of Krebs cycle by mixing malonic acid and bromate ions in a weak solution of sulfuric acid in the presence of a cerium catalyst. Cyclical reduction/oxidation of cerium or manganese ions causes the solution to oscillate from yellow to colorless for about 1 hour. This and similar chemical oscillators are known as BZ reaction, after Belousov and Zhabotynsky who were the first to describe it [50].

  5. 5.

    The very nature of units by which time is measured also speaks against the linear concept of time. Historically, the passage of time was gauged against the steady rhythms of heavenly bodies, notably rotation of the earth and monthly cycle of the moon (day, month, and year). It was the nature of these predictable celestial events that inspired invention of sundials and clocks.

  6. 6.

    In classical physics the three-dimensional space and one-dimensional time are given an independent (absolute) status and exist outside things and events. For things, distances are measured in space and events are measured in time. This has been reversed in Einstein’s theory of relativity where distances belong to things themselves and processes occur in a time–space relative to another event. The time thus becomes part of the “four-dimensional time-space continuum,” where an abstract dimension of time is added to the three abstract dimensions of space. According to such view, “every thought of an essential reality that manifests its nature in existence is precluded. Everything is only in relation to something else” [58].

  7. 7.

    Two types of memory are distinguished in memory research literature: common remembering is referred to as explicit or declarative memory by which experiences are linked to linear time, i.e., from past to present. Explicit memory brings past into the present. Implicit or body memory (also known as learned or habitual memory), by contrast, is bound to life or time “body” (organization) and is subject to cyclical time. Its forming is favored by rhythmical practice and repetition, i.e. walking, playing of an instrument or learning “by heart.” Body memory consists mainly in forgetting of what one learned explicitly. It is most active in early childhood and displays lifelong, but waning plasticity [61].

  8. 8.

    Form here refers to non-material, non-temporal lawfulness that transcends time and space. Mathematical and geometrical concepts are examples of universal forms. A form of a circle is an idea/concept that can assume a material form.

  9. 9.

    Steiner pointed to a significant periodic connection between macrocosmic and microcosmic (human) rhythms. The number of years the sun requires to cross the same point on the ecliptic at the time of spring equinox, as it travels through the constellations of the zodiac, is 25,920 years, the period known as the Great Cosmic or Platonic Year. This number corresponds the average number of breaths humans draw in 24 h (18 breaths per minute × 60 min × 24 h = 25,920). Dividing 72 (the average heart rate) by 18 gives 4, the number ratio between the heart beat and respiration [67].

  10. 10.

    Also, with reference to transcriptional clocks, it can be argued that the “clock” properties cannot lie in the transcription process as such nor in the molecular transcription regulators, as these regulators are regulated/expressed, etc., too; so, already this regulation must have the temporal features usually attributed to the transcription process. The “cause” of temporality would, therefore, have to be ascribed to a never-ending chain of regulators.

  11. 11.

    Heme iron in deoxyhemoglobin (deoxy-Hb) is in the ferrous state FE(II) and binding of oxygen to heme iron results in equilibrium between Fe(II)–O2 bond and Fe(III)–superoxide anion (O2) bond. With the release of oxygen, a small amount of superoxide (H2O2) is freed, causing autoxidation of hemoglobin to methemoglobin (met-Hb) which is unable to carry oxygen. Normally, about 3% of Hb exists as met-Hb. RBCs are protected from excessive autoxidation by cytoplasmic redox system NADH/NADPH, maintained by ATP generation by glycolysis [76].

  12. 12.

    The concept of the brain as a mirroring organ goes back to R. Steiner who proposed that rather than generating thoughts, neurons mirror patterns of lawful relations, i.e., sense impressions or memory pictures, into individual’s conscious perception [63].

  13. 13.

    This depends on the level on which rhythmicity is expressed: at the molecular level, the turnover rhythms of functional enzymes, for example, might operate at much faster rates and rhythms.

  14. 14.

    Feed-forward or open-loop controller generates “commands” without continuous error signal or negative feedback.

  15. 15.

    Non-apical skin in humans corresponds to hair-covered skin in mammals and nonhuman primates.

References

  1. Bischof M. Introduction to integrative biophysics. In: Popp F-A, Beloussov L, editors. Integrative biophysics. Dordrecht: Kluver Academic Publishers; 2003. p. 1–115.

    Google Scholar 

  2. Billman GE. Heart rate variability—a historical perspective. Front Physiol. 2011;2:86.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hales S. Statical essays: containing Haemastaticks No. 22, reprinted, History of medicine series, vol. 2. New York: Library of New York Academy of Medicine Hafner Publishing; 1964. p. 1733.

    Google Scholar 

  4. Ludwig C. Beitrage zur Kenntniss des Einflusses der Respirationsbewegungen auf den Butlauf im Aortensysteme. Arch Anat Physiol Leipzig. 1847;13:242–302.

    Google Scholar 

  5. Einthoven W. Ueber die Form des menschlichen Electrocardiogramms. Pflügers Archiv Eur J Physiol. 1895;60(3):101–23.

    Article  Google Scholar 

  6. Holter NJ. New method for heart studies. Science. 1961;134(3486):1214–20.

    Article  CAS  PubMed  Google Scholar 

  7. Hildebrandt G, Moser M, Lehofer M. Chronobiologie und Chronomedizin: Biologische Rhythmen; Medizinische Konsequenzen. 1998. Stuttgart: Hippokrates-Verlag.

    Google Scholar 

  8. Hildebrandt G, Moog R, Raschke F. Chronobiology & chronomedicine: basic research and applications: P. Lang; 1987.

    Google Scholar 

  9. Malik M. Task force of the European society of cardiology and the north American society of pacing and electrophysiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17:354–81.

    Article  Google Scholar 

  10. Yasuma F, Hayano J-I. Respiratory sinus arrhythmia: why does the heartbeat synchronize with respiratory rhythm? Chest J. 2004;125(2):683–90.

    Article  Google Scholar 

  11. Taylor EW, Jordan D, Coote JH. Central control of the cardiovascular and respiratory systems and their interactions in vertebrates. Physiol Rev. 1999;79(3):855–916.

    Article  CAS  PubMed  Google Scholar 

  12. Nederend I, et al. Postnatal cardiac autonomic nervous control in pediatric congenital heart disease. J Cardiovasc Dev Dis. 2016;3(2):16.

    Article  PubMed Central  CAS  Google Scholar 

  13. Moser M, et al. Heart rate variability as a prognostic tool in cardiology. A contribution to the problem from a theoretical point of view. Circulation. 1994;90(2):1078–82.

    Article  CAS  PubMed  Google Scholar 

  14. Moser M, Fruhwirth M, Kenner T. The symphony of life [Chronobiological Investigations]. IEEE Eng Med Biol Mag. 2008;27(1)

    Article  PubMed  Google Scholar 

  15. Horn E, Lee S. Electronic evaluations of the fetal heart rate patterns preceding fetal death: further observation. Am J Obster Gynecol. 1995;87:824–6.

    Google Scholar 

  16. Kleiger RE, et al. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol. 1987;59(4):256–62.

    Article  CAS  PubMed  Google Scholar 

  17. Lin K, et al. Combination of Ewing test, heart rate variability, and heart rate turbulence analysis for early diagnosis of diabetic cardiac autonomic neuropathy. Medicine. 2017;96(45)

    Article  PubMed  PubMed Central  Google Scholar 

  18. De Jong MMJ, Randall DC. Heart rate variability analysis in the assessment of autonomic function in heart failure. J Cardiovasc Nurs. 2005;20(3):186–95.

    Article  PubMed  Google Scholar 

  19. Nenna A, et al. Heart rate variability: a new tool to predict complications in adult cardiac surgery. J Geriatr Cardiol JGC. 2017;14(11):662.

    PubMed  Google Scholar 

  20. Parati G, et al. Point: counterpoint: cardiovascular variability is/is not an index of autonomic control of circulation. J Appl Physiol. 2006;101(2):676–82.

    Article  PubMed  Google Scholar 

  21. Taylor J. Point: counterpoint: cardiovascular variability is/is not an index of autonomic control of circulation. J Appl Physiol. 2006;101:676–82.

    Article  Google Scholar 

  22. West BJ. The wisdom of the body; a contemporary view. Front Physiol. 2010;1

    Google Scholar 

  23. Bischof M. Chronobiology. In: Popp F-A, Beloussov L, editors. Integrative biophysics. Dordrecht: Kluver Academic Publishers; 2003. p. 44–8.

    Google Scholar 

  24. Schäfer C, et al. Heartbeat synchronized with ventilation. Nature. 1998;392(6673):239.

    Article  PubMed  Google Scholar 

  25. Hildebrandt G. Rhythmical function order and man’s emancipation from the time factor. In: Schaeffer KS, Hildebrandt G, Macbeth N, editors. Basis of an individual physiology. New York: Futura Publishing; 1979. p. 15–43.

    Google Scholar 

  26. Moser M, et al. Phase-and frequency coordination of cardiac and respiratory function. Biol Rhythm Res. 1995;26(1):100–11.

    Article  Google Scholar 

  27. Guevara MR, Glass L, Shrier A. Phase locking, period-doubling bifurcations, and irregular dynamics in periodically stimulated cardiac cells. Science. 1981;214(4527):1350–3.

    Article  CAS  PubMed  Google Scholar 

  28. Kenner T, Pessenhofer H, Schwaberger G. Method for the analysis of the entrainment between heart rate and ventilation rate. Pflugers Arch. 1976;363(3):263–5.

    Article  CAS  PubMed  Google Scholar 

  29. Rohen JW. The organs of the rhythmic system. In: Functional morphology: the dynamic wholeness of the human organism. Hillsdale, NY: Adonis Press; 2007. p. 165–215.

    Google Scholar 

  30. Jerath R, et al. Role of cardiorespiratory synchronization and sleep physiology: effects on membrane potential in the restorative functions of sleep. Sleep Med. 2014;15(3):279–88.

    Article  PubMed  Google Scholar 

  31. Näsi T, et al. Spontaneous hemodynamic oscillations during human sleep and sleep stage transitions characterized with near-infrared spectroscopy. PLoS One. 2011;6(10):e25415.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Bartsch RP, et al. Phase transitions in physiologic coupling. Proc Natl Acad Sci. 2012;109(26):10181–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Galletly D, Larsen P. Cardioventilatory coupling during anaesthesia. Br J Anaesth. 1997;79(1):35–40.

    Article  CAS  PubMed  Google Scholar 

  34. Ahn S, Solfest J, Rubchinsky LL. Fine temporal structure of cardiorespiratory synchronization. Am J Phys Heart Circ Phys. 2014;306(5):H755–63.

    CAS  Google Scholar 

  35. Cabiddu R, et al. Modulation of the sympatho-vagal balance during sleep: frequency domain study of heart rate variability and respiration. Front Physiol. 2012;3:45.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Wu S-D, Lo P-C. Cardiorespiratory phase synchronization during normal rest and inward-attention meditation. Int J Cardiol. 2010;141(3):325–8.

    Article  PubMed  Google Scholar 

  37. von Bonin D, et al. Adaption of cardio-respiratory balance during day-rest compared to deep sleep—an indicator for quality of life? Psychiatry Res. 2014;219(3):638–44.

    Article  Google Scholar 

  38. Bettermann H, et al. Effects of speech therapy with poetry on heart rate rhythmicity and cardiorespiratory coordination. Int J Cardiol. 2002;84(1):77–88.

    Article  PubMed  Google Scholar 

  39. Moser M, et al. Why life oscillates–from a topographical towards a functional chronobiology. Cancer Causes Control. 2006;17(4):591–9.

    Article  PubMed  Google Scholar 

  40. Krüerke D, et al. Can speech-guided breathing influence cardiovascular regulation and mood perception in hypertensive patients? J Altern Complement Med. 2018;24(3):254–61.

    Article  PubMed  Google Scholar 

  41. Ben-Tal A, Shamailov S, Paton J. Evaluating the physiological significance of respiratory sinus arrhythmia: looking beyond ventilation–perfusion efficiency. J Physiol. 2012;590(8):1989–2008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Rosslenbroich B. Fluid management in animals. In: On the origin of autonomy: a new look at the major transitions in evolution: Springer Science & Business Media; 2014. p. 111–22.

    Google Scholar 

  43. Noble D. Claude Bernard, the first systems biologist, and the future of physiology. Exp Physiol. 2008;93(1):16–26.

    Article  PubMed  Google Scholar 

  44. Cannon WB. The wisdom of the body. Boston, MA: Norton; 1932.

    Book  Google Scholar 

  45. Von Bertalanffy L. The theory of open systems in physics and biology. Science. 1950;111(2872):23–9.

    Article  Google Scholar 

  46. Goldenfeld N, Woese C. Life is physics: evolution as a collective phenomenon far from equilibrium. Annu Rev Condens Matter Phys. 2011;2(1):375–99.

    Article  CAS  Google Scholar 

  47. Pfaendner P, Haupt J. http://www.oberhaupt.org/tmp/PicturesRB.zip. 2015 8/30/2018; Rayleigh-Benard Konvektion.

  48. Prigogine I, Stengers I. The three stages of thermodynamics. In: Order out of chaos: man’s new dialogue with nature. New York: Bantam; 1984. p. 131–76.

    Google Scholar 

  49. Kellert SH. On the way to dynamic understanding. In: Hull DL, editor. In the wake of chaos: unpredictable order of dynamical systems. Chichago, London: University of Chicago Press; 1993. p. 104–5.

    Chapter  Google Scholar 

  50. Winfree AT. The prehistory of the Belousov-Zhabotinsky oscillator. J Chem Educ. 1984;61(8):661.

    Article  Google Scholar 

  51. Pertsov AM, et al. Spiral waves of excitation underlie reentrant activity in isolated cardiac muscle. Circ Res. 1993;72(3):631–50.

    Article  CAS  PubMed  Google Scholar 

  52. Winfree AT. Patterns of timing in three dimensional space. In: When time breaks down: the three-dimensional dynamics of electrochemical waves and cardiac arrhythmias. Princeton: Princeton University Press; 1987. p. 189–247.

    Google Scholar 

  53. Heusser P. Ontological idealism in biology. In: Anthroposophy and science. Frankfurt am Main: Peter Lang; 2016. p. 99–161.

    Chapter  Google Scholar 

  54. Wu K-T, et al. Transition from turbulent to coherent flows in confined three-dimensional active fluids. Science. 2017;355(6331):eaal1979.

    Article  PubMed  CAS  Google Scholar 

  55. Morozov A. From chaos to order in active fluids. Science. 2017;355(6331):1262–3.

    Article  CAS  PubMed  Google Scholar 

  56. Dalmau R, Furst B. Continuing the debate: Branko Furst’s alternative model and the role of the heart. Pharm Ther. 2017;42(7):443–5.

    Google Scholar 

  57. Wikipedia. https://en.wikipedia.org/wiki/Kairos. Kairos, 2018. 2018.

  58. Steiner R. Modern man and his world conception. In: The riddles of philosophy. Great Barrington, MA: SteinerBooks; 2009. p. 401–44.

    Google Scholar 

  59. Prigogine I, Stengers I. Conclusions. In: Order out of chaos: man’s new dialogue with nature. New York: Bantam; 1984. p. 291–313.

    Google Scholar 

  60. Prigogine I. Epicurus’ dilemma. In: The end of certainty. New York: Free Press; 1997. p. 9–56.

    Google Scholar 

  61. Fuchs T. The cyclical time of the body and its relation to linear time. J Conscious Stud. 2018;25(7–8):47–65.

    Google Scholar 

  62. Rohen JW. General principles of form. In: Functional morphology: the dynamic wholeness of the human organism: Adonis Press; 2007. p. 14–63.

    Google Scholar 

  63. Weger UW, Edelhauser F. The role of the brain during conscious experience: in search of a new metaphor. J Conscious Stud. 2014;21(11–12):111–29.

    Google Scholar 

  64. Steiner R. Riddles of the soul. Spring Valley: Mercury Press; 1996.

    Google Scholar 

  65. Gillette MU, Sejnowski TJ. Biological clocks coordinately keep life on time. Science. 2005;309(5738):1196–8.

    Article  CAS  PubMed  Google Scholar 

  66. Edery I. Circadian rhythms in a nutshell. Physiol Genomics. 2000;3(2):59–74.

    Article  CAS  PubMed  Google Scholar 

  67. Steiner R. Lecture 6, January 6, 1921. In: Amrine F, editor. Interdisciplinary astronomy. Ann Arbor: Keryx; 2017. p. 64–71.

    Google Scholar 

  68. Rivkees SA. Developing circadian rhythmicity in infants. Pediatrics. 2003;112(2):373–81.

    Article  PubMed  Google Scholar 

  69. Cutler WB. Lunar and menstrual phase locking. Am J Obstet Gynecol. 1980;137(7):834–9.

    Article  CAS  PubMed  Google Scholar 

  70. Rohen JW. Functional morphology: the dynamic wholeness of the human organism: Adonis Press; 2007.

    Google Scholar 

  71. Rosslenbroich B. Body cavities. In: On the origin of autonomy: a new look at the major transitions in evolution. New York: Springer Science & Business Media; 2014. p. 92–5.

    Chapter  Google Scholar 

  72. Scholander P, Hargens AR, Miller SL. Negative pressure in the interstitial fluid of animals. Science. 1968;161(3839):321–8.

    Article  CAS  PubMed  Google Scholar 

  73. Martino TA, Young ME. Influence of the cardiomyocyte circadian clock on cardiac physiology and pathophysiology. J Biol Rhythm. 2015;30(3):183–205.

    Article  CAS  Google Scholar 

  74. Bray MS, et al. Disruption of the circadian clock within the cardiomyocyte influences myocardial contractile function, metabolism, and gene expression. Am J Phys Heart Circ Phys. 2008;294(2):H1036–47.

    CAS  Google Scholar 

  75. Tu BP, McKnight SL. Metabolic cycles as an underlying basis of biological oscillations. Nat Rev Mol Cell Biol. 2006;7(9):696.

    Article  CAS  PubMed  Google Scholar 

  76. Cho C-S, et al. Irreversible inactivation of glutathione peroxidase 1 and reversible inactivation of peroxiredoxin II by H2O2 in red blood cells. Antioxid Redox Signal. 2010;12(11):1235–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. O’Neill JS, Reddy AB. Circadian clocks in human red blood cells. Nature. 2011;469(7331):498.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  78. Aalkjær C, Boedtkjer D, Matchkov V. Vasomotion–what is currently thought? Acta Physiol. 2011;202(3):253–69.

    Article  CAS  Google Scholar 

  79. Pradhan R, Chakravarthy V. Informational dynamics of vasomotion in microvascular networks: a review. Acta Physiol. 2011;201(2):193–218.

    Article  CAS  Google Scholar 

  80. Rosslenbroich B. The concept of biological autonomy. In: On the origin of autonomy: a new look at the major transitions in evolution: Springer Science & Business Media; 2014. p. 19–40.

    Google Scholar 

  81. Hildebrandt G. Zur Physiology des rhythmischen Systems. Beiträge zu einer Erweiterung der Heilkunst. 1986;39(1):8–30.

    Google Scholar 

  82. Husemann A. The harmony of the human body, musical principles in human physiology. Edinburgh: Floris Books; 1994.

    Google Scholar 

  83. Nummenmaa L, et al. Bodily maps of emotions. Proc Natl Acad Sci. 2014;111(2):646–51.

    Article  CAS  PubMed  Google Scholar 

  84. Verhulst J. Uprightness. In: Developmental dynamics in humans and other primates. Ghent, NY: Adonis Press; 2003. p. 144–99.

    Google Scholar 

  85. Bos A, van der Bie G. The anthroposophical view of the human being. In: van der Bie G, editor. Foundations of anthroposophical medicine. Edinburgh: Floris Books; 2005. p. 211–38.

    Google Scholar 

  86. Girke M. The concept of the human being. In: Internal medicine, foundations and therapeutic concepts of anthroposophic medicine. Berlin: Salumed Verlag; 2016. p. 7–41.

    Google Scholar 

  87. Lack LC, et al. The relationship between insomnia and body temperatures. Sleep Med Rev. 2008;12(4):307–17.

    Article  PubMed  Google Scholar 

  88. Dibner C, Schibler U, Albrecht U. The mammalian circadian timing system: organization and coordination of central and peripheral clocks. Annu Rev Physiol. 2010;72:517–49.

    Article  CAS  PubMed  Google Scholar 

  89. Chellappa SL, Lasauskaite R, Cajochen C. In a heartbeat: light and cardiovascular physiology. Front Neurol. 2017;8:541.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Nadel E. Regulation of body temperature. In: Boron WF, Boulpaep EL, editors. Medical physiology: a cellular and molecular approach. Philadelphia: Saunders; 2003. p. 1231–55.

    Google Scholar 

  91. Aschoff J. The circadian rhythm of body temperature as a function of body size. In: A companion to animal physiology; 1982. p. 173–88.

    Google Scholar 

  92. Kräuchi K. How is the circadian rhythm of core body temperature regulated? Springer; 2002.

    Google Scholar 

  93. Segal SS. Special Circulations in Medical physiology: a cellular and molecular approach. In: Boron WF, Boulpaep EL, editors. . Philadelphia: Saunders; 2003. p. 558–73.

    Google Scholar 

  94. Taylor NA, Machado-Moreira CA. Regional variations in transepidermal water loss, eccrine sweat gland density, sweat secretion rates and electrolyte composition in resting and exercising humans. Extrem Physiol Med. 2013;2(1):4.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Rowell LB. Human experimentation: no accurate, quantitative data? J Appl Physiol. 2007;102(3):837–40.

    Article  PubMed  Google Scholar 

  96. Rowell LB. Cardiovascular adjustments to thermal stress. In: Handbook of physiology. The cardiovascular system. Peripheral circulation and organ blood flow, vol. 2; 1983. p. 967–1023.

    Google Scholar 

  97. Aschoff J, Weaver R. Spontanrhythmik des Menschen bei Ausschluss aller Zeitgeber. Naturwissenschaft. 1962;49:337–42.

    Article  Google Scholar 

  98. Aschoff J. Adaptive cycles: their significance for defining environmental hazards. Int J Biometeorol. 1967;11(3):255–78.

    Article  Google Scholar 

  99. Czeisler CA, et al. Human sleep: its duration and organization depend on its circadian phase. Science. 1980;210(4475):1264–7.

    Article  CAS  PubMed  Google Scholar 

  100. Refinetti R, Menaker M. The circadian rhythm of body temperature. Physiol Behav. 1992;51(3):613–37.

    Article  CAS  PubMed  Google Scholar 

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Furst, B. (2020). Heartbeat and Respiration: Toward a Functional Chronobiology. In: The Heart and Circulation. Springer, Cham. https://doi.org/10.1007/978-3-030-25062-1_23

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