Practical Implementations of Real-Time Heart Rate Variability

Abstract

Heart rate variability (HRV) is a useful, non-invasive indicator of autonomic nervous system responsiveness that can be used to signal the need for life-saving interventions, but to date it has not been possible to use it in real-time (RT) . Because HRV reflects homeostasis in thermoregulation and blood pressure control, it provides a non-invasive "window" into these processes. The overall objectives of the present research program are to identify aspects of HRV that are predictive of adverse consequences in hypo-and hyper- thermia; (2) to implement HRV metrics for quantitation of these aspects; and (3) to develop RT HRV collection software and RT computation of the custom HRV metrics under field-like conditions using modest capability processors. To those overall objectives, the specific aims of the research are to: (1) Acquire temperature and HRV data on human volunteers approaching hypothermia or hyperthermia, to develop custom HRV metrics predictive of adverse outcomes; (2) Develop a software system capable of processing HRV data in RT under field-like conditions and the metrics developed in (1); (3) Validate the software and metrics in PT with a different and larger cohort of volunteers.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA425939

Entities

People

  • Antonio Sastre

Organizations

  • MRIGlobal

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Computations
  • Detection
  • Detectors
  • Electrocardiography
  • Filters
  • Health Services
  • Heart Rate
  • Hyperthermia
  • Hypothermia
  • Physiological Monitoring
  • Recognition
  • Software Development
  • Task Forces

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Computational Modeling and Simulation
  • Trauma or Military Medicine