Abstract
AbstractOur research team has developed a system and methodology for measuring psycho-physiological parameters, which can be used to determine the level of fatigue and fitness of the person being measured. This article describes the electroencephalography (EEG) part of this system. This article covers the technical and mathematical background of EEG measurement, the selection and implementation of the measurement tool in the development environment, and the development of the measurement and processing algorithm. The result is a system that can detect, digitize, and process the digitized signal from the brain, and save the processed signal in an XML database.
Highlights
Electroencephalography (EEG) is a non-invasive measurement procedure for detecting electrical signals from the brain and processing these signals
Fixing the baseline is a critical point for EEG measurements, since every person has a different datum elsewhere, it is not possible to add a single datum for each person
The non-invasive EEG measurement procedure places lowresistance metal macroelectrodes on the scalp according to an international system
Summary
The non-invasive EEG measurement procedure places lowresistance metal macroelectrodes on the scalp according to an international system This system selects 4 anatomical reference points on the head and places the electrodes at 10 and 20% distance between these reference points, respectively. The signals taken from the skull using the electrodes should be filtered and amplified, usually by the measuring device on the head, but if necessary, the program can further refine the amplification and filtering. Doing these is key to signal processing because we can only process properly noise-free and amplified signals so that we can extract useful information from them [6]. For this is the Fast Fourier Transform, or FFT, which is a faster version of the discrete Fourier transform
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