High density wireless EEG prototype: Design and evaluation against reference equipment

Stefano Rossi, Shrishail Patki, Marco Passoni, Hannes Perko, Gerhard Gritsch, Pauly Ossenblok, Refet Firat Yazicioglu

Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband mit PosterpräsentationBegutachtung

Abstract

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.

OriginalspracheEnglisch
Titel2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Seiten5776-5779
Seitenumfang4
Band2014
DOIs
PublikationsstatusVeröffentlicht - Aug. 2014
VeranstaltungEMBC 2014: 36th Annual International Conference of the IEEE Engineering in Medicine & Biology Society -
Dauer: 26 Aug. 201430 Aug. 2014

Publikationsreihe

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.

Konferenz

KonferenzEMBC 2014: 36th Annual International Conference of the IEEE Engineering in Medicine & Biology Society
Zeitraum26/08/1430/08/14

Research Field

  • Medical Signal Analysis

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