Title :
Steady–state visually evoked EEG signal processing with tuneable continuous–time bandpass sigma–delta modulators
Author :
Lele, Sneha ; Sobot, Robert ; Waxer, Matthew ; Morton, J. Bruce
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
Abstract :
We present a non-invasive brain-machine-interface (BMI) prototype system which allows the simple control of a switch. The main goal of the system, based on electroencephalogram (EEG) recordings, is to create mechanical action from brain activity. Experimental work presented in this paper outlines the operation of a system which is based on a tuneable continuous-time bandpass SigmaDelta modulator used to detect the frequency signature of SSVEP waveforms. Simple time-frequency-space domain signal analysis methods are employed to generate the electrical control-signal, sufficient to control a robotic motion. Our simulation demonstrated around 90% success rate in decoding SSVEP activity.
Keywords :
biomedical electronics; brain-computer interfaces; electroencephalography; medical robotics; medical signal processing; sigma-delta modulation; visual evoked potentials; SSVEP waveform; brain-machine-interface prototype system; electrical control-signal; electroencephalogram recording; robotic motion control; sigma-delta modulator; steady-state visually evoked EEG signal processing; steady-state visually evoked potential; time-frequency-space domain signal analysis; tuneable continuous-time bandpass modulator; Brain; Control systems; Electroencephalography; Frequency; Motion control; Prototypes; Signal analysis; Signal generators; Signal processing; Switches; biomedical acoustics; brain to machine interface; signal processing;
Conference_Titel :
Circuit Theory and Design, 2009. ECCTD 2009. European Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-3896-9
Electronic_ISBN :
978-1-4244-3896-9
DOI :
10.1109/ECCTD.2009.5275014
