High density wireless EEG prototype: Design and evaluation against reference equipment.
EMBC（2014）
摘要
A high density wireless electroencephalographic (EEG) platform has been designed. It is able to record up to 64 EEG channels with electrode to tissue impedance (ETI) monitoring. The analog front-end is based on two kinds of low power ASICs implementing the active electrodes and the amplifier. A power efficient compression algorithm enables the use of continuous wireless transmission of data through Bluetooth for real-time monitoring with an overall power consumption of about 350 mW. EEG acquisitions on five subjects (one healthy subject and four patients suffering from epilepsy) have been recorded in parallel with a reference system commonly used in clinical practice and data of the wireless prototype and reference system have been processed with an automatic tool for seizure detection and localization. The false alarm rates (0.1-0.5 events per hour) are comparable between the two system and wireless prototype also detected the seizure correctly and allowed its localization.
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关键词
low power asic,wireless electroencephalographic platform design,biomedical telemetry,epilepsy patients,medical disorders,medical signal detection,active electrodes,overall power consumption,telemedicine,neurophysiology,eeg prototype evaluation,time 1 hour,biomedical electrodes,electroencephalography,patient monitoring,eeg channel recording,data compression,prototypes,continuous wireless data transmission,low-power electronics,medical signal processing,power efficient compression algorithm,false alarm rates,machine testing,seizure localization,data acquisition,application specific integrated circuits,analog front-end,eti monitoring,electronic data interchange,power 350 mw,high density wireless eeg prototype,signal classification,bluetooth,electrode to tissue impedance monitoring,wireless sensor networks,reference eeg equipment,eeg prototype design,seizure detection,clinical practice,biomedical electronics,amplifier,eeg acquisitions,real-time systems,automatic data processing tool,real-time monitoring
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