Quantifying neonatal patient effort using non-invasive model-based methods.
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| Title: | Quantifying neonatal patient effort using non-invasive model-based methods. |
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| Authors: | Kim, Kyeong Tae1, kyeongtaekim92@gmail.com, Knopp, Jennifer1, Dixon, Bronwyn2, Chase, J. Geoffrey1 |
| Source: | Medical & Biological Engineering & Computing; Mar2022, Vol. 60 Issue 3, p739-751, 13p, 3 Charts, 6 Graphs |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 155313975 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155313975 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-021-02491-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 739 Titles: – TitleFull: Quantifying neonatal patient effort using non-invasive model-based methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Kyeong Tae – PersonEntity: Name: NameFull: Knopp, Jennifer – PersonEntity: Name: NameFull: Dixon, Bronwyn – PersonEntity: Name: NameFull: Chase, J. Geoffrey IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 01400118 Numbering: – Type: volume Value: 60 – Type: issue Value: 3 Titles: – TitleFull: Medical & Biological Engineering & Computing Type: main |
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