Estimating Systolic Blood Pressure Using Convolutional Neural Networks.
Saved in:
| Title: | Estimating Systolic Blood Pressure Using Convolutional Neural Networks. |
|---|---|
| Authors: | Rastegar S; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Gholamhosseini H; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Lowe A; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Mehdipour F; Otago Polytechnic, Auckland, New Zealand., Lindén M; School of Innovation, Design, and Engineering, Mälardalen University, Västerås, Sweden. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2019; Vol. 261, pp. 143-149. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31156106 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Estimating Systolic Blood Pressure Using Convolutional Neural Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rastegar+S%22">Rastegar S</searchLink>; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Gholamhosseini+H%22">Gholamhosseini H</searchLink>; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Lowe+A%22">Lowe A</searchLink>; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Mehdipour+F%22">Mehdipour F</searchLink>; Otago Polytechnic, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Lindén+M%22">Lindén M</searchLink>; School of Innovation, Design, and Engineering, Mälardalen University, Västerås, Sweden. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2019; Vol. 261, pp. 143-149. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31156106 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 143 Titles: – TitleFull: Estimating Systolic Blood Pressure Using Convolutional Neural Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rastegar S – PersonEntity: Name: NameFull: Gholamhosseini H – PersonEntity: Name: NameFull: Lowe A – PersonEntity: Name: NameFull: Mehdipour F – PersonEntity: Name: NameFull: Lindén M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2019 Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 261 Titles: – TitleFull: Studies in health technology and informatics Type: main |
| ResultId | 1 |
