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dc.contributor.author
Schmidt, Dominik
dc.contributor.author
English, Gwendolyn
dc.contributor.author
Gent, Thomas
dc.contributor.author
Yanik, Mehmet Fatih
dc.contributor.author
von der Behrens, Wolfger
dc.date.accessioned
2022-01-31T09:49:29Z
dc.date.available
2022-01-27T16:51:40Z
dc.date.available
2022-01-28T06:55:55Z
dc.date.available
2022-01-31T09:49:29Z
dc.date.issued
2021-07-13
dc.identifier.other
10.1101/2021.07.12.452032
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/529314
dc.identifier.doi
10.3929/ethz-b-000529314
dc.description.abstract
To improve animal welfare and data quality and reproducibility during research conducted under anaesthesia, anaesthetic depth in laboratory animals must be precisely monitored and controlled. While a variety of methods have been developed to estimate the depth of anaesthesia in humans, such tools for monitoring anaesthetic depth in laboratory animals remain limited. Here we propose an epidural electrocorticogram-based monitoring system that accurately tracks the depth of anesthesia in mice receiving inhalable isoflurane anaesthesia. Several features of the electrocorticogram signals exhibit robust modulation by the concentration of the administered anesthetic, notably, corticocortical coherence serves as an excellent indicator of anaesthetic depth. We developed a gradient boosting regressor framework that utilizes the extracted features to accurately estimate the depth of anaesthesia. Our method for feature extraction and estimation is conducted with a latency of only ten seconds, establishing a system for the real-time tracking of anaesthetic depth in mice.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Cold Spring Harbor Laboratory
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title
Electrocorticography based monitoring of anaesthetic depth in mice
en_US
dc.type
Working Paper
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
ethz.journal.title
bioRxiv
ethz.size
14 p.
en_US
ethz.grant
Deviant Signals in the Thalamocortical Loop: Circuitry and Perception
en_US
ethz.publication.place
Cold Spring Harbor, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::09474 - Yanik, Mehmet Fatih / Yanik, Mehmet Fatih
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::09474 - Yanik, Mehmet Fatih / Yanik, Mehmet Fatih
en_US
ethz.grant.agreementno
172962
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte Lebenswissenschaften
ethz.date.deposited
2022-01-27T16:51:47Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-01-28T06:56:02Z
ethz.rosetta.lastUpdated
2022-03-29T18:24:45Z
ethz.rosetta.versionExported
true
ethz.COinS
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