4.3 Review

Heart Rate Variability Code: Does It Exist and Can We Hack It?

Journal

BIOENGINEERING-BASEL
Volume 10, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/bioengineering10070822

Keywords

HRV; brain-body communication; heart rate; phase space; health monitoring

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A code, defined as a system of signals or symbols, has been found in heart rate variability (HRV) to reflect information flow and physiological responses. HRV shows features of time structure, phase space structure, specificity to organs and pathophysiological syndromes, and species independence universality. This code forms a spatiotemporal structure that is not fully understood. Physiological examples such as fetal systemic inflammatory response, organ-specific inflammatory responses, chronic hypoxia, allostatic load, and vagotomy provide evidence of the existence and utility of the HRV code.
A code is generally defined as a system of signals or symbols for communication. Experimental evidence is synthesized for the presence and utility of such communication in heart rate variability (HRV) with particular attention to fetal HRV: HRV contains signatures of information flow between the organs and of response to physiological or pathophysiological stimuli as signatures of states (or syndromes). HRV exhibits features of time structure, phase space structure, specificity with respect to (organ) target and pathophysiological syndromes, and universality with respect to species independence. Together, these features form a spatiotemporal structure, a phase space, that can be conceived of as a manifold of a yet-to-be-fully understood dynamic complexity. The objective of this article is to synthesize physiological evidence supporting the existence of HRV code: hereby, the process-specific subsets of HRV measures indirectly map the phase space traversal reflecting the specific information contained in the code required for the body to regulate the physiological responses to those processes. The following physiological examples of HRV code are reviewed, which are reflected in specific changes to HRV properties across the signal-analytical domains and across physiological states and conditions: the fetal systemic inflammatory response, organ-specific inflammatory responses (brain and gut), chronic hypoxia and intrinsic (heart) HRV (iHRV), allostatic load (physiological stress due to surgery), and vagotomy (bilateral cervical denervation). Future studies are proposed to test these observations in more depth, and the author refers the interested reader to the referenced publications for a detailed study of the HRV measures involved. While being exemplified mostly in the studies of fetal HRV, the presented framework promises more specific fetal, postnatal, and adult HRV biomarkers of health and disease, which can be obtained non-invasively and continuously.

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