Automatic Pain Assessment by Learning from Multiple Biopotentials

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dc.contributor.authorJiang Mingzhe
dc.contributor.organizationfi=terveysteknologia|en=Health Technology|
dc.contributor.organization-code2606808
dc.converis.publication-id43491899
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/43491899
dc.date.accessioned2022-10-28T12:27:49Z
dc.date.available2022-10-28T12:27:49Z
dc.identifier.isbn978-952-12-3889-5
dc.identifier.olddbid176578
dc.identifier.oldhandle10024/159672
dc.identifier.urihttps://www.utupub.fi/handle/11111/32095
dc.identifier.urlhttp://urn.fi/URN:ISBN:978-952-12-3889-5
dc.identifier.urnURN:NBN:fi-fe2021042824675
dc.language.isoen
dc.okm.affiliatedauthorJiang, Mingzhe
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline3141 Health care scienceen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.discipline3141 Terveystiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityDomestic publication
dc.okm.typeG4 Monograph
dc.publisherTurun yliopisto
dc.publisher.placeTurku
dc.source.identifierhttps://www.utupub.fi/handle/10024/159672
dc.titleAutomatic Pain Assessment by Learning from Multiple Biopotentials
dc.year.issued2019

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