A Sub-µW Reconfigurable Front-End for Invasive Neural Recording

Valtierra, José Luis; Fiorelli, Rafaella; Delgado Restituto, Manuel; Rodríguez Vázquez, Ángel Benito

doi:10.1109/LASCAS.2019.8667584

Ponencia

dc.creator	Valtierra, José Luis	es
dc.creator	Fiorelli, Rafaella	es
dc.creator	Delgado Restituto, Manuel	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.date.accessioned	2019-12-13T15:22:57Z
dc.date.available	2019-12-13T15:22:57Z
dc.date.issued	2019
dc.identifier.citation	Valtierra, J.L., Fiorelli, R., Delgado Restituto, M. y Rodríguez Vázquez, Á.B. (2019). A Sub-µW Reconfigurable Front-End for Invasive Neural Recording. En IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS) (85-88), Armenia, Colombia: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	978-1-7281-0453-9	es
dc.identifier.issn	2473-4667	es
dc.identifier.uri	https://hdl.handle.net/11441/90912
dc.description.abstract	This paper presents a sub-μW ac-coupled reconfigurable front-end for the purpose of neural recording. The proposed topology embeds in it filtering capabilities allowing it to select among different frequency bands inside the neural signal spectrum. Power consumption is optimized by designing for bandwidth-specific noise targets that take into account the spectral characteristics of the input signal as well as the noise bandwidths of the noise generators in the circuit itself. An experimentally verified prototype designed in a 180 nm CMOS process draws a maximum of 815 nW from a 1 V source. The measured input-referred spot-noise at 500 Hz is 75 nV/√Hz while the integrated noise in the 200 Hz - 5 kHz band is 4.1 μVrms.	es
dc.description.sponsorship	Ministerio de Economía y Competitividad TEC2016-80923- P	es
dc.description.sponsorship	Junta de Andalucía TIC 2338	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers	es
dc.relation.ispartof	IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS) (2019), p 85-88
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Neural front-end	es
dc.subject	Neural recording	es
dc.subject	Ultra-low power	es
dc.subject	Reconfigurable	es
dc.title	A Sub-µW Reconfigurable Front-End for Invasive Neural Recording	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	TEC2016-80923- P	es
dc.relation.projectID	TIC 2338	es
dc.relation.publisherversion	https://doi.org/10.1109/LASCAS.2019.8667584	es
dc.identifier.doi	10.1109/LASCAS.2019.8667584	es
idus.format.extent	4 p.	es
dc.publication.initialPage	85	es
dc.publication.endPage	88	es
dc.eventtitle	IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)	es
dc.eventinstitution	Armenia, Colombia	es

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