dc.creator | Pérez Prieto, Norberto | es |
dc.creator | Rodríguez Vázquez, Ángel Benito | es |
dc.creator | Álvarez Dolado, Manuel | es |
dc.creator | Delgado Restituto, Manuel | es |
dc.date.accessioned | 2022-09-19T10:55:33Z | |
dc.date.available | 2022-09-19T10:55:33Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Pérez Prieto, N., Rodríguez Vázquez, Á.B., Álvarez Dolado, M. y Delgado Restituto, M. (2021). A 32-Channel Time-Multiplexed Artifact-Aware Neural Recording System. IEEE Transactions on Biomedical Circuits and Systems, 15 (5), 960-977. | |
dc.identifier.issn | 1932-4545 | es |
dc.identifier.issn | 1940-9990 | es |
dc.identifier.uri | https://hdl.handle.net/11441/137193 | |
dc.description.abstract | This paper presents a low-power, low-noise microsystem for the recording of neural local field potentials or intracranial
electroencephalographic signals. It features 32 time-multiplexed
channels at the electrode interface and offers the possibility to spatially delta encode data to take advantage of the large correlation
of signals captured from nearby channels. The circuit also implements a mixed-signal voltage-triggered auto-ranging algorithm
which allows to attenuate large interferers in digital domain while
preserving neural information. This effectively increases the system
dynamic range and avoids the onset of saturation. A prototype,
fabricated in a standard 180 nm CMOS process, has been experimentally verified in-vitro with cellular cultures of primary cortical
neurons from mice. The system shows an integrated input-referred
noise in the 0.5–200 Hz band of 1.4 µVrms for a spot noise of
about 85 nV /
√Hz. The system draws 1.5 µW per channel from
1.2 V supply and obtains 71 dB + 26 dB dynamic range when
the artifact-aware auto-ranging mechanism is enabled, without
penalising other critical specifications such as crosstalk between
channels or common-mode and power supply rejection ratios. | es |
dc.format | application/pdf | es |
dc.format.extent | 18 p. | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | IEEE Transactions on Biomedical Circuits and Systems, 15 (5), 960-977. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | artifact-aware | es |
dc.subject | auto-ranging | es |
dc.subject | biomedical electronics | es |
dc.subject | CMOS integrated circuits | es |
dc.subject | correlated double sampling | es |
dc.subject | ECoG | es |
dc.subject | LFP | es |
dc.subject | neural recording | es |
dc.subject | neurophysiology | es |
dc.subject | offset reduction loop | es |
dc.subject | spatial delta encoding | es |
dc.subject | system-on-chip | es |
dc.subject | time multiplexing | es |
dc.title | A 32-Channel Time-Multiplexed Artifact-Aware Neural Recording System | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo | es |
dc.relation.publisherversion | https://dx.doi.org/10.1109/TBCAS.2021.3108725 | es |
dc.identifier.doi | 10.1109/TBCAS.2021.3108725 | es |
dc.journaltitle | IEEE Transactions on Biomedical Circuits and Systems | es |
dc.publication.volumen | 15 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 960 | es |
dc.publication.endPage | 977 | es |