Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
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| Title: | Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. |
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| Authors: | Kwon S; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Hong J; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea., Choi EK; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Lee E; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Hostallero DE; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea., Kang WJ; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea., Lee B; Sky Labs Inc, Seongnam, Republic of Korea., Jeong ER; Department of Information and Communication Engineering, Hanbat National University, Daejeon, Republic of Korea., Koo BK; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Oh S; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Yi Y; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea. |
| Source: | JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2019 Jun 06; Vol. 7 (6), pp. e12770. Date of Electronic Publication: 2019 Jun 06. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Print ISSN: 2291-5222 (Print) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31199302 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kwon+S%22">Kwon S</searchLink>; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hong+J%22">Hong J</searchLink>; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+EK%22">Choi EK</searchLink>; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+E%22">Lee E</searchLink>; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hostallero+DE%22">Hostallero DE</searchLink>; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+WJ%22">Kang WJ</searchLink>; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+B%22">Lee B</searchLink>; Sky Labs Inc, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeong+ER%22">Jeong ER</searchLink>; Department of Information and Communication Engineering, Hanbat National University, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Koo+BK%22">Koo BK</searchLink>; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Oh+S%22">Oh S</searchLink>; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yi+Y%22">Yi Y</searchLink>; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101624439%22">JMIR mHealth and uHealth</searchLink> [JMIR Mhealth Uhealth] 2019 Jun 06; Vol. 7 (6), pp. e12770. <i>Date of Electronic Publication: </i>2019 Jun 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications+Inc%22">JMIR Publications Inc </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101624439 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2291-5222 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222915222%22">22915222 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Mhealth Uhealth <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31199302 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/12770 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e12770 Titles: – TitleFull: Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kwon S – PersonEntity: Name: NameFull: Hong J – PersonEntity: Name: NameFull: Choi EK – PersonEntity: Name: NameFull: Lee E – PersonEntity: Name: NameFull: Hostallero DE – PersonEntity: Name: NameFull: Kang WJ – PersonEntity: Name: NameFull: Lee B – PersonEntity: Name: NameFull: Jeong ER – PersonEntity: Name: NameFull: Koo BK – PersonEntity: Name: NameFull: Oh S – PersonEntity: Name: NameFull: Yi Y IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 06 Text: 2019 Jun 06 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 2291-5222 Numbering: – Type: volume Value: 7 – Type: issue Value: 6 Titles: – TitleFull: JMIR mHealth and uHealth Type: main |
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