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Ir J Med Sci. 2014 Jun;183(2):187-97. doi: 10.1007/s11845-013-0988-9. Epub 2013 Jul 17.

Acquisition technology research of EEG and related physiological signals under +Gz acceleration.

Author information

  • 1Department of Automation, School of Information Science and Technology, Tsinghua University, Haidian District, Beijing, 100084, China, taozhang@mail.tsinghua.edu.cn.

Abstract

BACKGROUND:

With the continuous improvement of maneuvering performance of modern high-performance aircraft, the protection problem of flight personnel under high G acceleration, the development as well as research on monitoring system and the equipment for human physiological signals processing which include electroencephalogram (EEG) have become more and more important. Due to the particularity of +Gz experimental conditions, the high-risk of human experiments and the great difficulty of dynamic measurement, there is little research on the synchronous acquisition technology of EEG and related physiological signals under +Gz acceleration environment.

METHODS:

We propose a framework to execute human experiments using the three-axial high-performance human centrifuge, develop reasonable operation mode and design a new experimental research method for EEG signal acquisition and variation characteristics on three-axial high-performance human centrifuge under the environment of +Gz acceleration. We also propose to build the synchronous real-time acquisition plan of EEG, electrocardiogram, brain blood pressure, ear pulse and related physiological signals under centrifuge +Gz acceleration with different equipments and methods.

RESULTS:

The good profiles of EEG, heart rate, brain blood pressure and ear pulse are obtained and analyzed comparatively. In addition, the FMS hop-by-hop continuous blood pressure and hemodynamic measurement system Portapres are successfully applied to the ambulatory blood pressure measure under centrifuge +Gz acceleration environment.

CONCLUSIONS:

The proposed methods establish the basis and have an important guiding significance for follow-up experiment development, EEG features spectral analysis and correlation research of all signals.

PMID:
23860826
[PubMed - indexed for MEDLINE]
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