A 950 nW analog-based data reduction chip for wearable EEG systems in epilepsy
File(s)FINAL_VERSION.pdf (1.35 MB)
Accepted version
Author(s)
Rodriguez Villegas, E
Iranmanesh, S
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.
Date Issued
2017-09-01
Date Acceptance
2017-06-21
Citation
IEEE Journal of Solid State Circuits, 2017, 52 (9), pp.2362-2373
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
Commission of the European Communities
Identifier
https://ieeexplore.ieee.org/document/7987689/authors#full-text-header
Grant Number
Contract No. 239749
Subjects
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
Date Publish Online
2017-07-21