Title :
Alertness monitoring based on time evolution of electroencephalographic signal´s power spectral density
Author_Institution :
Dept. of Autom., Pet.-Gas Univ. of Ploiesti, Ploiesti, Romania
Abstract :
Human alertness varies very quickly in time domain affecting tasks requiring sustained vigilance. This can have huge consequences in various occupations that require a very high level of attention. Changes in the level of alertness are correlated with fluctuations in the electroencephalographic signal´s power spectral density. This can be revealed with fast Fourier transform (FFT) of an EEG signal obtained with a single channel electroencephalograph connected to a data acquisition system (DAQ). In real life, the bioelectric signals can be acquired by masked electrodes placed, for example, in protective helmets or in eye glasses, depending on the operator´s job description. In attention-critical environment, the operators can be monitored for evaluating their cognitive mental state.
Keywords :
data acquisition; electroencephalography; fast Fourier transforms; medical signal processing; DAQ; EEG signal; FFT; alertness monitoring; attention-critical environment; bioelectric signals; cognitive mental state; data acquisition system; electroencephalographic signal power spectral density; eye glasses; fast Fourier transform; human alertness; masked electrodes; operator job description; protective helmets; single channel electroencephalograph; time evolution; Biomedical monitoring; Monitoring; Power supplies; electroencephalographic signal; human operator´s performance; level of alertness monitoring; power spectral density; vigilance-demanding tasks;
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
Print_ISBN :
978-1-4799-5478-0
DOI :
10.1109/ECAI.2014.7090221