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Related Experiment Videos

Chronomes, time structures, for chronobioengineering for "a full life".

G Cornélissen1, F Halberg, O Schwartzkopff

  • 1University of Minnesota, Minneapolis 55455, USA.

Biomedical Instrumentation & Technology
|April 9, 1999
PubMed
Summary
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Long-term monitoring of blood pressure and heart rate variability can identify disease risks. Analyzing these physiological chronomes helps detect conditions like circadian hyperamplitude tension (CHAT) and chronome alterations of heart rate variability (CAHRVs) for preventive prehabilitation.

Area of Science:

  • Chronobiology and chronomedicine
  • Physiological monitoring and data analysis
  • Preventive healthcare and risk assessment

Background:

  • Physiological rhythms, or chronomes, within normal variation can serve as reference values.
  • Disease-risk elevations can be detected through week-long or longer monitoring of blood pressure and heart rate, coupled with time-structure analyses.
  • Chronome mapping is crucial for identifying disease-risk syndromes like blood pressure overswinging and heart rate underswinging.

Purpose of the Study:

  • To establish the utility of time-structure analyses of physiological data for disease risk detection.
  • To identify specific chronome alterations associated with increased risk for vascular disease and other conditions.
  • To explore the potential of chronobiomimetic engineering for early risk detection and intervention.

Related Experiment Videos

Main Methods:

  • Computerized quantification of time structures (chronomes) within physiological variations.
  • Analysis of blood pressure and heart rate variability over extended monitoring periods (week-long or longer).
  • Investigation of spectral elements and deterministic chaos in heart rate variability chronomes.
  • Correlation of physiological rhythms with external environmental rhythms, such as solar activity and interplanetary magnetic storms.

Main Results:

  • Circadian hyperamplitude tension (CHAT), characterized by excessive blood pressure variability, is identified as a vascular disease risk factor.
  • Chronome alterations of heart rate variability (CAHRVs), including loss of "jitter" and spectral changes, are linked to disease risk.
  • Physiological rhythms can numerically correspond to environmental rhythms, with external factors like magnetic storms potentially triggering cardiovascular events.
  • The study highlights the potential for detecting risk alterations across a wide spectrum of frequencies, from 1 cycle/sec to 10.5- and 21-year cycles.

Conclusions:

  • Systematic monitoring and analysis of physiological and external chronomes can provide early warnings of increased health risks.
  • Chronobiomimetic engineering offers a pathway for discovering both instantaneous and long-term chronorisk alterations.
  • Automated instrumentation for detecting abnormal blood pressure and heart rate variability is needed for prophylactic treatment of CHAT and CAHRVs.
  • A accumulating database of reference values is essential for effective chronodiagnosis and personalized preventive healthcare.