Artifact-Aware Analogue/Mixed-Signal Front-Ends for Neural Recording Applications

Pérez Prieto, Norberto; Delgado Restituto, Manuel; Rodríguez Vázquez, Ángel Benito

doi:10.1109/ISCAS.2019.8702656

Ponencia

dc.creator	Pérez Prieto, Norberto	es
dc.creator	Delgado Restituto, Manuel	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.date.accessioned	2019-11-29T15:16:12Z
dc.date.available	2019-11-29T15:16:12Z
dc.date.issued	2019
dc.identifier.citation	Pérez Prieto, N., Delgado Restituto, M. y Rodríguez Vázquez, Á.B. (2019). Artifact-Aware Analogue/Mixed-Signal Front-Ends for Neural Recording Applications. En IEEE International Symposium on Circuits and Systems (ISCAS) Sapporo, Japón: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	978-1-7281-0397-6	es
dc.identifier.issn	2158-1525	es
dc.identifier.uri	https://hdl.handle.net/11441/90646
dc.description.abstract	This paper presents a brief review of techniques to overcome the problems associated with artifacts in analog frontends for neural recording applications. These techniques are employed for handling Common-Mode (CM) Differential-Mode (DM) artifacts and include techniques such as Average Template Subtraction, Channel Blanking or Blind Adaptive Stimulation Artifact Rejection (ASAR), among others. Additionally, a new technique for DM artifacts compression is proposed. It allows to compress these artifacts to the requirements of the analog frontend and, afterwards, it allows to reconstruct the whole artifact or largely suppress it.	es
dc.description.sponsorship	Ministerio de Economía y Empresa TEC2016-80923-P	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers	es
dc.relation.ispartof	IEEE International Symposium on Circuits and Systems (ISCAS) (2019),
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Neural Recording	es
dc.subject	Neural prosthesis	es
dc.subject	Brain Machine Interfaces	es
dc.subject	Analog Front-End	es
dc.subject	Artifacts	es
dc.subject	Artifacts-Aware	es
dc.subject	Analog Front-Ends	es
dc.subject	Mixed-signal Front-Ends	es
dc.subject	Dynamic Range	es
dc.subject	ASAR	es
dc.title	Artifact-Aware Analogue/Mixed-Signal Front-Ends for Neural Recording Applications	es
dc.type	info:eu-repo/semantics/conferenceObject	es
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.publisherversion	https://doi.org/10.1109/ISCAS.2019.8702656	es
dc.identifier.doi	10.1109/ISCAS.2019.8702656	es
idus.format.extent	5 p.	es
dc.eventtitle	IEEE International Symposium on Circuits and Systems (ISCAS)	es
dc.eventinstitution	Sapporo, Japón	es

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