Multi-domain analysis of ultra-short-term HRV for breathing pattern classification in wearable health devices.
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| Title: | Multi-domain analysis of ultra-short-term HRV for breathing pattern classification in wearable health devices. |
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| Authors: | Arya, Puneet1, puneetarya90@gmail.com, Singh, Mandeep1, mandy_tiet@yahoo.com, Singh, M. D.1, mdsingh@thapar.edu |
| Source: | EURASIP Journal on Advances in Signal Processing; 12/1/2024, Vol. 2024 Issue 1, p1-17, 17p |
| 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: 181253189 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13634-024-01194-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Multi-domain analysis of ultra-short-term HRV for breathing pattern classification in wearable health devices. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Arya, Puneet – PersonEntity: Name: NameFull: Singh, Mandeep – PersonEntity: Name: NameFull: Singh, M. D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 12/1/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 16876172 Numbering: – Type: volume Value: 2024 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Advances in Signal Processing Type: main |
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