Technological Assessment of Smart Wearables and 5G-Integrated Edge Computing for Real-Time Health Monitoring...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden.
Smart wearables advance to reliably and continuously measure vital signs. Analyzing the produced data requires complex algorithms, which would unreasonably increase the energy consumption of mobile devices and exceed their computing power. Fifth-generation (5G) mobile networks provide low latencies,...
| Publicado en: | Studies in Health Technology & Informatics Vol. 302; pp. 1002 - 1007 |
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| Autores principales: | , |
| Formato: | pictorial proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163842345&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163842345 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2023 vid: 302 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 163842345 163842345 163842345 10.3233/SHTI230326 163842345 ppf: 1002 ppct: 5 formats: tig: atl: Technological Assessment of Smart Wearables and 5G-Integrated Edge Computing for Real-Time Health Monitoring...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden. aug: au: HAAS, Paulo DESERNO, Thomas M. affil: Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Brunswick, Germany sug: subj: Health Status Monitoring, Physiologic Wearable Sensors Evaluation Internet of Things Computing Methodologies Electrocardiography Myocardial Infarction Classification Human Congresses and Conferences Sweden Sweden Algorithms Smartphone Vital Signs Evaluation Descriptive Statistics Energy Intake Power Sources Funding Source ab: Smart wearables advance to reliably and continuously measure vital signs. Analyzing the produced data requires complex algorithms, which would unreasonably increase the energy consumption of mobile devices and exceed their computing power. Fifth-generation (5G) mobile networks provide low latencies, high bandwidth, and many connected devices and introduced multi-access edge computing, which brings high computation power close to the clients. We propose an architecture for evaluating smart wearables in real-time and evaluate it exemplary with electrocardiography signals and binary classification of myocardial infarctions. Our solution shows that real-time infarct classification is feasible with 44 clients and secured transmissions. Future releases of 5G will increase real-time capability and enable capacity for more data. pubtype: Academic Journal doctype: pictorial proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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