Detection of the onset of anti-G straining maneuvering and the state of physiological system

Author

Ryoo, Han Chool ; Sun, Hun H. ; Cammarota, Joseph P.

Author_Institution

Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA

Volume

2

fYear

1999

fDate

36434

Abstract

A wavelet-based algorithm to detect the onset of the anti-G straining maneuvering (AGSM) of a pilot has been developed by using a combination of signals from Breathing (B), Blood Pressure (BP) and EEG data. Powers of wavelet coefficients at selected scales are studied to make local decisions from each data set. Global decisions are derived from combination of local decisions

Keywords

aerospace biophysics; discrete wavelet transforms; electroencephalography; haemodynamics; medical signal detection; physiology; pneumodynamics; EEG data; advanced jet aircraft flying; anti-G straining maneuvering; blood pressure; breathing; data set; global decisions; local decisions; pilot; selected scales; state of physiological system; wavelet coefficients; wavelet-based algorithm; Aircraft; Capacitive sensors; Detection algorithms; Discrete wavelet transforms; Electroencephalography; Protection; Signal analysis; Signal processing algorithms; Sun; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804120

Filename

804120