Conference proceeding
Wavelet decomposition method on EEG analysis of G-LOC phenomena: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING
PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6, Vol.19, pp.1297-1300
PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
01 Jan 1997
Abstract
Acceleration (+Gz) induced loss of consciousness (G-LOC) during high +Gz flight maneuvers continues to be a hazard for pilots of high performance aircraft. In the centrifuge studies, G-LOC detection of pilots flying under high +Gz forces is usually made by an observer outside of the gondola and therefore depends upon the reaction time and the alertness of the individual who does the monitoring [1]. We propose to use the Discrete Wavelet Transform (DWT) together with the application of 1 / f power distribution theory [2], [3] to analyze the EEG signals of the pilot during high +Gz simulations. Analyzed by these algorithms, the EEG signal of pilot during G-LOC undergoes significant changes compared to the normal condition, and we further propose to classify the conditions of pilot under high +Gz into a set of States [4]. This type of monitoring system may give the observer a clear indication on the condition of the pilot without human error and in minimum reaction time.
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Details
- Title
- Wavelet decomposition method on EEG analysis of G-LOC phenomena
- Creators
- Y S WuH H SunJ P CammarotaL HrebienIEEE
- Publication Details
- PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6, Vol.19, pp.1297-1300
- Series
- PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019170511004721
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