Mixed-signal quadratic operators for the feature extraction of neural signals

Delgado Restituto, Manuel; Fiorelli, Rafaella; Carrasco Robles, Manuel; Rodríguez Vázquez, Ángel Benito

doi:10.1109/BioCAS.2016.7833808

Ponencia

dc.creator	Delgado Restituto, Manuel	es
dc.creator	Fiorelli, Rafaella	es
dc.creator	Carrasco Robles, Manuel	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.date.accessioned	2019-10-17T14:29:58Z
dc.date.available	2019-10-17T14:29:58Z
dc.date.issued	2016
dc.identifier.citation	Delgado Restituto, M., Fiorelli, R., Carrasco Robles, M. y Rodríguez Vázquez, Á.B. (2016). Mixed-signal quadratic operators for the feature extraction of neural signals. En 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS) (368-371), Shanghai, China: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	978-1-5090-2959-4	es
dc.identifier.uri	https://hdl.handle.net/11441/89728
dc.description.abstract	This paper presents design principles for reusing charge-redistribution SAR ADCs as digital multipliers. This is illustrated with an 8-b fully-differential rail-to-rail SAR ADC/multiplier, designed in a 180 nm HV CMOS technology. This reconfigurability property can be exploited for the extraction of product-related features in neural signals, such as energy content, or for the discrimination of spikes using the Teager operator.	es
dc.description.sponsorship	Ministerio de Economía y Competitividad TEC2012-33634	es
dc.description.sponsorship	Office of Naval Research (USA) N00014141355	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers	es
dc.relation.ispartof	2016 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2016), p 368-371
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Mixed-signal quadratic operators for the feature extraction of neural signals	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo	es
dc.relation.projectID	TEC2012-33634	es
dc.relation.projectID	N00014141355	es
dc.relation.publisherversion	https://doi.org/10.1109/BioCAS.2016.7833808	es
dc.identifier.doi	10.1109/BioCAS.2016.7833808	es
idus.format.extent	4 p.	es
dc.publication.initialPage	368	es
dc.publication.endPage	371	es
dc.eventtitle	2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)	es
dc.eventinstitution	Shanghai, China	es
dc.identifier.sisius	21259359	es

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