Ear Pulse Waveform Parameters During the Gradual Onset Centrifuge Training Profile

Abstract

During regular centrifuge training at the Aeromedical Institute the ear photoplethysmogram and the ECG of 15 (candidate) pilots were measured. The main goal of present study was to evaluate the use of the ear pulse waveform (ear pulse) as a potential feedback parameter of a pilot's head level blood pressure during accelerations. From the ear pulse waveform, the amplitude of the pulse and the pulse transit time (HT) of each pulse were determined. The results showed clearly that the amplitude of the ear pulse waveform decreased and the FIT increased with increasing acceleration level during a centrifuge run. On basis of the results of this study it is concluded that the ear pulse can be implemented as a feedback parameter for PLL onset. In order to implement the ear pulse waveform as a standard feedback signal during centrifuge training the reliability of the signal must be evaluated under different G-onset rates and with pilots performing an anti-G straining maneuver. Specially, the delay between the changes in the ear pulse waveform and changes in head level blood pressure must investigated under higher G-onset rates. So, the ear pulse wave form changes will have to be correlated with continuously measured blood pressure.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA372680

Entities

People

  • A. Kuijper
  • J. Van Der Burgt
  • M. Holewijn

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Arteries
  • Blood
  • Blood Flow
  • Blood Vessels
  • Cardiovascular Diseases
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Elastic Properties
  • Feedback
  • Health Services
  • Light Sources
  • Modulus Of Elasticity
  • Optical Absorption
  • Test And Evaluation
  • Training
  • Wave Propagation
  • Waveforms

Fields of Study

  • Physics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Optical Physics and Photonics.
  • Speech Processing/Speech Recognition.