An ultra low power feature extraction and classification system for wearable seizure detection.
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| Title: | An ultra low power feature extraction and classification system for wearable seizure detection. |
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| Authors: | Page A, Pramod Tim Oates S, Mohsenin T |
| Source: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2015; Vol. 2015, pp. 7111-4. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 26737931 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=26737931 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/EMBC.2015.7320031 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7111 Titles: – TitleFull: An ultra low power feature extraction and classification system for wearable seizure detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Page A – PersonEntity: Name: NameFull: Pramod Tim Oates S – PersonEntity: Name: NameFull: Mohsenin T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-electronic Value: 2694-0604 Numbering: – Type: volume Value: 2015 Titles: – TitleFull: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Type: main |
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