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Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

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Home C-ABPM for Preventive and Curative Health Care and Transdisciplinary Science.

Franz Halberg¹, Germaine Cornélissen, Kuniaki Otsuka

¹University of Minnesota, Minneapolis, Minnesota, USA.

World Heart Journal

|October 4, 2011

Summary

Computer-implemented chronomics reveals hidden time structures in blood pressure (BP) and heart rate (HR) data. This analysis of heart rate and blood pressure dynamics uncovers unique biological rhythms beyond the standard calendar year.

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Area of Science:

Cardiology and Chronobiology
Biomedical Data Analysis

Background:

Clinical management of blood pressure (BP) and heart rate (HR) can be enhanced by analyzing time-dependent patterns.
Current methods often overlook complex temporal dynamics in cardiovascular data.

Purpose of the Study:

To introduce and illustrate the application of computer-implemented chronomics for analyzing cardiovascular time series.
To explore cyclicities, chaos, and trends in long-term BP and HR data.
To investigate potential non-calendar year periodicities in sudden cardiac death events.

Main Methods:

Application of chronomics to analyze long-term ambulatory blood pressure and heart rate monitoring data.
Analysis of historical data on sudden cardiac death to identify temporal patterns.
Focus on identifying cyclicities, including transyears (periodicities longer than a calendar year).

Main Results:

Chronomics effectively maps complex time structures in cardiovascular data.
Analysis of long-term data revealed significant cyclicities, including transyears.
A prominent 16- to 20-month transyear was identified in sudden cardiac death events, independent of calendar year signatures.

Conclusions:

Chronomics offers a powerful approach to understanding cardiovascular dynamics beyond traditional metrics.
The identification of transyears in cardiac arrest data suggests novel biological rhythms influencing cardiac events.
This methodology has implications for cardiologists, healthcare providers, and transdisciplinary scientific research.