Title :
Using myDAQ and LabVIEW to Develop a Single-Channel EEG for a Multi-modality Epileptic Seizure Detection Platform
Author :
Wang, Dongping ; Khuon, Lunal
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., Villanova, PA, USA
Abstract :
We present a work in progress of a single-channel electroencephalograph (EEG) system used in a multiple modality platform for epileptic seizure detection. This system consists of an EEG amplifier circuit that provides signal gain and filtering and a myDAQ unit that both simulates and acquires EEG signals which is controlled by a LabVIEW graphical program that performs feature extraction and signal classification. We describe the desired performance for the amplifier circuit and present preliminary measurement results and output examples from the amplifier circuit and LabVIEW program.
Keywords :
amplifiers; biomedical electronics; electroencephalography; feature extraction; filtering theory; medical disorders; medical signal processing; signal classification; virtual instrumentation; EEG amplifier circuit; EEG signal acquisition; EEG signal simulation; LabVIEW graphical program; feature extraction; multimodality epileptic seizure detection platform; myDAQ; signal classification; signal filtering; signal gain; single-channel EEG; single-channel electroencephalograph system; Band-pass filters; Bandwidth; Data acquisition; Electroencephalography; Feature extraction; Instruments; Testing; EEG; LabVIEW; Seizure Detection; myDAQ;
Conference_Titel :
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location :
Syracuse, NY
Print_ISBN :
978-1-4673-4928-4
DOI :
10.1109/NEBEC.2013.35
