Abstract :
This study introduced the producing theory and producing region of electroencephalogram (EEG) signal as well as containing physiological information and analyzed the purpose, method and procedure of EEG signal pattern recognition, as well as the latest development and related medical theory of EEG signal acquisition. The procedure of EEG signal pattern recognition consisted of information acquisition, preprocessing, feature extraction and selection, classification estimation and recognition. By studying the association between EEG signal and prosthetic movement, it was concluded that EEG signal controlling prosthesis was feasible. Therefore, a prosthetic controlled system was designed based on EEG signal pattern recognition and acquisition. The system initiated from scalp electrode (or prosthetic electrode), passed through differential amplifier circuit (or prosthetic drive circuit), pre-amplifier circuit, notch circuit, med-amplifier circuit, and filter circuit, and finally reached analog-to-digital converter. The practice proves that this prosthetic controlled system can satisfy various requirements of EEG signal-controlled prosthesis pretty well.
Keywords :
analogue-digital conversion; control system synthesis; differential amplifiers; electroencephalography; feature extraction; medical signal processing; notch filters; prosthetics; signal classification; analog-to-digital converter; classification estimation; differential pre-amplifier circuit; electroencephalogram signal pattern recognition; feature extraction; feature selection; filter circuit; information preprocessing; med-amplifier circuit; notch circuit; physiological information acquisition; prosthetic controlled system design; Circuits; Control systems; Electrodes; Electroencephalography; Information analysis; Medical control systems; Pattern analysis; Pattern recognition; Prosthetics; Signal analysis; acquisition; circuit; electroencephalograph; pattern recognition; prosthetic;
