Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography

Tietueen suppeat tiedot
dc.contributor.authorMieronkoski R
dc.contributor.authorSyrjälä E
dc.contributor.authorJiang M
dc.contributor.authorRahmani A
dc.contributor.authorPahikkala T
dc.contributor.authorLiljeberg P
dc.contributor.authorSalanterä S
dc.contributor.organizationfi=hoitotieteen laitos|en=Department of Nursing Science|
dc.contributor.organizationfi=terveysteknologia|en=Health Technology|
dc.contributor.organizationfi=tietojenkäsittelytiede|en=Computer Science|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.23479734818
dc.contributor.organization-code1.2.246.10.2458963.20.27201741504
dc.contributor.organization-code1.2.246.10.2458963.20.28696315432
dc.contributor.organization-code2606808
dc.contributor.organization-code2610303
dc.converis.publication-id48671115
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/48671115
dc.date.accessioned2022-10-28T12:36:00Z
dc.date.available2022-10-28T12:36:00Z
dc.identifier.eissn1932-6203
dc.identifier.jour-issn1932-6203
dc.identifier.olddbid177591
dc.identifier.oldhandle10024/160685
dc.identifier.urihttps://www.utupub.fi/handle/11111/33821
dc.identifier.urnURN:NBN:fi-fe2021042825392
dc.language.isoen
dc.okm.affiliatedauthorRosio, Riitta
dc.okm.affiliatedauthorHaulivuori, Elise
dc.okm.affiliatedauthorJiang, Mingzhe
dc.okm.affiliatedauthorPahikkala, Tapio
dc.okm.affiliatedauthorLiljeberg, Pasi
dc.okm.affiliatedauthorSalanterä, Sanna
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.affiliatedauthorRahmani, Amir
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline3141 Health care scienceen_GB
dc.okm.discipline316 Nursingen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.discipline3141 Terveystiedefi_FI
dc.okm.discipline316 Hoitotiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherPublic Library of Science
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.articlenumbere0235545
dc.relation.doi10.1371/journal.pone.0235545
dc.relation.ispartofjournalPLoS ONE
dc.relation.issue7
dc.relation.volume15
dc.source.identifierhttps://www.utupub.fi/handle/10024/160685
dc.titleDeveloping a pain intensity prediction model using facial expression: A feasibility study with electromyography
dc.year.issued2020

Tiedostot

Näytetään 1 - 1 / 1
Name:
journal.pone.0235545.pdf
Size:
1.3 MB
Format:
Adobe Portable Document Format
Description:
Publisher's PDF
Lataa

Kokoelmat

Rinnakkaistallenteet