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dc.contributor.authorNejedlý, Petr
dc.contributor.authorVirgala, Jan
dc.date.accessioned2018-07-10T12:48:10Z
dc.date.available2018-07-10T12:48:10Z
dc.date.issued2016cs
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 53-55. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83871
dc.description.abstractThe paper presented here describes the SignalPlant library for analysis of physiological signals. This library contains plugins for analysis of continuous blood pressure (BP), respiratory signals (RESP) and electromyographic signals (EMG). Its principal advantages are real-time previews of results, ease of use and a multi-thread approach. The library is available free and open- source under an MIT license as part of the SignalPlant project at https://signalplant.codeplex.com.en
dc.formattextcs
dc.format.extent53-55cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectSignalPlanten
dc.subjectpluginen
dc.subjectsignal analysisen
dc.subjectblood pressureen
dc.subjectrespirationen
dc.subjectEMGen
dc.titlePhysiocrate: A SignalPlant Toolbox for Respiratory, Blood Pressure and EMG Signal Analysisen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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