Two Compartment Fusion System Designed for Physiological State Monitoring

Abstract

A two-compartment fusion system designed to reduce high rates of false alarm (FAR) in single channel monitoring systems was tested with physiological data from pilots exposed to high +Gz forces on a human centrifuge, The first compartment expands input signals into time-frequency domain, where transient changes are captured by wavelet coefficients in frequency ranges of interest, The second compartment optimally combines local decisions of various statistics using a unifying operation rule regardless of individual subject physiology and channel features, Three channels were used to measure respiration, blood pressure, and electroencephalogram under various high performance aircraft maneuver profiles: rapid onset run (ROR) to a fixed plateau, gradual onset run (GOR) at 0,1 Gz per second onset, and simulated aerial combat (SACM) profiles. Pilots sometimes perform anti-G straining maneuvers (ACSM) against the blood pressure drop at head level for greater tolerance, Signals were simultaneously processed to decide the presence of such ACSM, Significant reductions of FAR when detecting ACSM by signal fusion were achieved in our experiment (10-38% during ROR/GOR, 25-35% during SACM, and 21-36% overall), when compared to single channel monitoring. This implies that our approach is very promising and system performance can be enhanced even with poor quality signals.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410068

Entities

People

  • Han C. Ryoo
  • Hun H. Sun
  • Leonid Hrebien

Organizations

  • Drexel University

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Aerial Warfare
  • Biomedical Engineering
  • Cardiovascular Physiological Phenomena
  • Data Fusion
  • Detection
  • Detectors
  • Electroencephalography
  • Engineering
  • False Alarms
  • Frequency
  • Frequency Domain
  • Monitoring
  • Physiological Monitoring
  • Signal Processing
  • Warfare
  • Warning Systems
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Mathematical Modeling and Probability Theory.
  • Sensor Fusion and Tracking Systems.