<div class="csl-bib-body">
<div class="csl-entry">Lausen, T., Keil, S., Dodel, N., Schulz, M., Corna, A., Zeck, G., Cojocaru, A.-E., & Thewes, R. (2022). A Low-Noise Ex-Vivo CMOS MEA with 4k Recording Sites, 4k Recording Channels, and 1k Stimulation Sites. In <i>2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)</i> (pp. 524–528). https://doi.org/10.1109/BioCAS54905.2022.9948664</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139461
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dc.description.abstract
A Multi-Electrode-Array (MEA) in a 180 nm CMOS technology is presented with 4225 recording sides, 4225 recording channels, and 1024 stimulation sites. The two versions of the chip provide active areas of 2.3 mm x 2.3 mm and 4.1 mm x 4.1 mm with a spacial recording site resolution of 36 μm and 64 μm, respectively. The devices are capable of full imaging at a frame rate of 25 kHz at an input-referred noise of 13.1 μVrms in the action potential (AP) band from 300 Hz to 10 kHz, 10 μVrms in the AP band from 300 Hz to 6 kHz, and 15.1 μVrms in the local field potential (LFP) band from 1 Hz to 300 Hz. To reach these noise levels the signals from the recording sites are routed out of the active array to dedicated low noise amplifiers in the periphery. Crosstalk between the related pixels is significantly reduced by individual actively shielded traces.
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dc.language.iso
en
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dc.subject
active shield
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dc.subject
low noise amplifier
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dc.subject
MEA
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dc.subject
neural sensing
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dc.title
A Low-Noise Ex-Vivo CMOS MEA with 4k Recording Sites, 4k Recording Channels, and 1k Stimulation Sites
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
TU Berlin
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dc.contributor.affiliation
TU Berlin
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dc.contributor.affiliation
TU Berlin
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dc.contributor.affiliation
TU Berlin
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dc.contributor.affiliation
TU Berlin
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dc.relation.isbn
978-1-6654-6917-3
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dc.description.startpage
524
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dc.description.endpage
528
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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tuw.researchTopic.id
I8
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tuw.researchTopic.name
Sensor Systems
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E363 - Institut für Biomedizinische Elektronik
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tuw.publisher.doi
10.1109/BioCAS54905.2022.9948664
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dc.description.numberOfPages
5
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tuw.author.orcid
0000-0003-3998-9883
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tuw.event.name
2022 IEEE Biomedical Circuits and Systems Conference ( BioCAS)
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tuw.event.startdate
13-10-2022
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tuw.event.enddate
15-10-2022
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.country
TW
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tuw.event.presenter
Lausen, Timo
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wb.sciencebranch
Medizintechnik
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
2060
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
20
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wb.sciencebranch.value
80
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item.openairetype
Inproceedings
-
item.openairetype
Konferenzbeitrag
-
item.grantfulltext
none
-
item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
no Fulltext
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crisitem.author.dept
TU Berlin
-
crisitem.author.dept
TU Berlin
-
crisitem.author.dept
TU Berlin
-
crisitem.author.dept
TU Berlin
-
crisitem.author.dept
E363 - Institut für Biomedizinische Elektronik
-
crisitem.author.dept
E363 - Institut für Biomedizinische Elektronik
-
crisitem.author.dept
E363 - Institut für Biomedizinische Elektronik
-
crisitem.author.dept
TU Berlin
-
crisitem.author.orcid
0000-0003-3998-9883
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik