Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation.
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| Title: | Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation. |
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| Authors: | Ghafourian MS; Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran., Noori A; Faculty of Electrical and Biomedical Engineering, Sadjad University, Mashhad, Iran., Taghipour S; Faculty of Electrical and Biomedical Engineering, Sadjad University, Mashhad, Iran., Ramezani A; Control Engineering Department, School of Electrical and Computer Engineering, Tarbiat Modares University (TMU), Tehran, Iran.; Postdoctoral Research Fellow, Cardiac Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. |
| Source: | Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2026 Oct; Vol. 29 (13), pp. 3225-3235. Date of Electronic Publication: 2025 Jun 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40483671 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ghafourian+MS%22">Ghafourian MS</searchLink>; Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.<br /><searchLink fieldCode="AU" term="%22Noori+A%22">Noori A</searchLink>; Faculty of Electrical and Biomedical Engineering, Sadjad University, Mashhad, Iran.<br /><searchLink fieldCode="AU" term="%22Taghipour+S%22">Taghipour S</searchLink>; Faculty of Electrical and Biomedical Engineering, Sadjad University, Mashhad, Iran.<br /><searchLink fieldCode="AU" term="%22Ramezani+A%22">Ramezani A</searchLink>; Control Engineering Department, School of Electrical and Computer Engineering, Tarbiat Modares University (TMU), Tehran, Iran.; Postdoctoral Research Fellow, Cardiac Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229802899%22">Computer methods in biomechanics and biomedical engineering</searchLink> [Comput Methods Biomech Biomed Engin] 2026 Oct; Vol. 29 (13), pp. 3225-3235. <i>Date of Electronic Publication: </i>2025 Jun 08. – 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="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9802899 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-8259 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210255842%22">10255842 </searchLink><i>NLM ISO Abbreviation: </i>Comput Methods Biomech Biomed Engin <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40483671 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10255842.2025.2510367 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3225 Titles: – TitleFull: Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ghafourian MS – PersonEntity: Name: NameFull: Noori A – PersonEntity: Name: NameFull: Taghipour S – PersonEntity: Name: NameFull: Ramezani A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2026 Oct Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1476-8259 Numbering: – Type: volume Value: 29 – Type: issue Value: 13 Titles: – TitleFull: Computer methods in biomechanics and biomedical engineering Type: main |
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