Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients.
New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient's physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health m...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 3; pp. 1 - 12 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2016
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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=115925252&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925252 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Mar2016 vid: 40 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925252 115925252 115925252 10.1007/s10916-015-0403-3 115925252 ppf: 1 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients. aug: au: Triantafyllopoulos, Dimitrios Korvesis, Panagiotis Mporas, Iosif Megalooikonomou, Vasileios affil: Multidimensional Data Analysis and Knowledge Management Laboratory, Department of Computer Engineering and Informatics, University of Patras, 26500 Rion-Patras Greece sug: subj: Epilepsy Monitoring, Physiologic Methods Wearable Sensors Evaluation Wireless Communications Seizures Diagnosis Human Data Analysis, Computer Assisted Methods Algorithms Funding Source ab: New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient's physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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