CNN-Transformer-LSTM: Automatic Sleep Apnea detection using a single-lead ECG signal

dc.contributor.authorPham, Duc Thien
dc.contributor.editorRendl, Jan
dc.date.accessioned2024-06-13T18:53:21Z
dc.date.available2024-06-13T18:53:21Z
dc.date.issued2024
dc.description.sponsorshipThis work was supported by the University specific research project SGS-2022-015 New Methods for Medical, Spatial and Communication Data (project SGS-2022-015).en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationRENDL, Jan (ed.). Studentská vědecká konference: magisterské a doktorské studijní programy, 23.5. 2024, Plzeň. Plzeň: Západočeská univerzita v Plzni, 2024, s. 57-58.cs
dc.identifier.isbn978-80-261-1228-0
dc.identifier.urihttp://hdl.handle.net/11025/55624
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectspánková apnoecs
dc.subjectelektrokardiogramcs
dc.subjectmodel CNN-Transformer-LSTMcs
dc.subject.translatedsleep apneaen
dc.subject.translatedelectrocardiogramen
dc.subject.translatedCNN-Transformer-LSTM modelen
dc.titleCNN-Transformer-LSTM: Automatic Sleep Apnea detection using a single-lead ECG signalen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 2 out of 2 results
No Thumbnail Available
Name:
proceedings_svk_2024-uvod.pdf
Size:
2.52 MB
Format:
Adobe Portable Document Format
Description:
Plný text
No Thumbnail Available
Name:
proceedings_svk_2024-58-59.pdf
Size:
212.58 KB
Format:
Adobe Portable Document Format
Description:
Plný text
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: