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A 950 nW analog-based data reduction chip for wearable EEG systems in epilepsy
File | Description | Size | Format | |
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FINAL_VERSION.pdf | Accepted version | 1.38 MB | Adobe PDF | View/Open |
Title: | A 950 nW analog-based data reduction chip for wearable EEG systems in epilepsy |
Authors: | Rodriguez Villegas, E Iranmanesh, S |
Item Type: | Journal Article |
Abstract: | Long-term electroencephalogram (EEG) monitoring is an important tool used for the diagnosis of epilepsy. Truly Wearable EEG can be considered as the future of ambulatory EEG units, which are the current standard for long-term EEG monitoring. Replacing these short lifetime, bulky units with long-lasting miniature and wearable devices which can be easily worn by patients will result in more EEG data being acquired for longer monitoring periods. This paper presents an analog-based data reduction integrated circuit that would reduce the amount of power required to transmit EEG data by identifying the sections of data that are interesting for diagnostic purposes while discarding the background activity. Using the data reduction system as part of a miniature wireless, EEG monitoring unit would yield significant reductions in power consumption since the transmitter will only be switched ON based on the data reduction system output. A system prototype chip has been fabricated in a 0.35 μm CMOS process. The system consumes 760 nA from a 1.25 V supply and is able to achieve a sensitivity of 87%, while transmitting 45% of the overall EEG data. |
Issue Date: | 1-Sep-2017 |
Date of Acceptance: | 21-Jun-2017 |
URI: | http://hdl.handle.net/10044/1/48764 |
DOI: | 10.1109/JSSC.2017.2720636 |
ISSN: | 0018-9200 |
Publisher: | Institute of Electrical and Electronics Engineers |
Start Page: | 2362 |
End Page: | 2373 |
Journal / Book Title: | IEEE Journal of Solid State Circuits |
Volume: | 52 |
Issue: | 9 |
Sponsor/Funder: | Commission of the European Communities |
Funder's Grant Number: | Contract No. 239749 |
Keywords: | Science & Technology Technology Engineering, Electrical & Electronic Engineering Continuous wavelet transform (CWT) data reduction electroencephalogram (EEG) epilepsy epileptic spike detection long-term EEG monitoring low-power electronics spikes wearable EEG (WEEG) AUTOMATIC DETECTION ACQUISITION SOC WIRELESS CLASSIFICATION TRANSCEIVER PROCESSOR ENERGY NOISE Electrical & Electronic Engineering 0204 Condensed Matter Physics 0906 Electrical and Electronic Engineering 1099 Other Technology |
Publication Status: | Published |
Online Publication Date: | 2017-07-21 |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |