DocumentCode
143264
Title
Mixed-signal energy feature extractor of EEG frequency bands
Author
Carrasco-Robles, Manuel ; Delgado-Restituto, Manuel
Author_Institution
Inst. of Microelectron. of Seville (IMSE), CNM, Seville, Spain
fYear
2014
fDate
25-28 Feb. 2014
Firstpage
1
Lastpage
4
Abstract
This paper proposes a SAR-based circuit suitable to obtain the amount of signal energy contained in EEG frequency bands. It uses a reconfigurable topology which, in a first stage, acts as a conventional data converter for the incoming neural signal and, in a second stage, performs the squaring operation needed for energy extraction. A simple digital circuit keeps track of the most recent outputs from the squarer and provides the accumulated value of the input signal energy. The system has been simulated in an XFAB 0.18μm technology showing correct measurement of the energy.
Keywords
electroencephalography; feature extraction; medical signal processing; EEG frequency band; SAR based circuit; energy extraction; mixed signal energy feature extractor; reconfigurable topology; squaring operation; Capacitors; Data conversion; Electroencephalography; Energy measurement; Feature extraction; Registers; Scalp;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (LASCAS), 2014 IEEE 5th Latin American Symposium on
Conference_Location
Santiago
Print_ISBN
978-1-4799-2506-3
Type
conf
DOI
10.1109/LASCAS.2014.6820311
Filename
6820311
Link To Document