The Impact of Noise on the Reliability of Heart-Rate Variability and Complexity Analysis in Trauma Patients

Abstract

This study focused on the impact of noise on the reliability of heart-rate variability and complexity (HRV, HRC) to discriminate between different trauma patients and to monitor individual patients. Life-saving interventions (LSIs) were chosen as an endpoint because performance of LSIs is a critical aspect of trauma patient care. Noise was modeled and simulated by modifying original R R interval (RRI) sequences via decimation, concatenation, and division of RRIs, as well as R-wave detection using the electrocardiogram. Results showed that under increasing simulated noise, entropy and autocorrelation measures can still effectively discriminate between LSI and non-LSI patients and monitor individuals over time.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
ADA614651

Entities

People

  • Andriy I Batchinsky
  • Josè Salinas
  • Leopoldo C. Cancio
  • Nehemiah T. Liu

Organizations

  • United States Army Institute of Surgical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Cardiovascular Physiological Phenomena
  • Computers
  • Data Analysis
  • Data Sets
  • Databases
  • Detection
  • Electrocardiography
  • Frequency
  • Health Services
  • Heart Rate
  • Information Science
  • Intellectual Property
  • Medical Personnel
  • Monitoring
  • Reliability

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Trauma or Military Medicine