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 :
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