SignalPlant: an open signal processing software platform

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dc.contributor.authorPlešinger, Filipcs
dc.contributor.authorJurčo, Jurajcs
dc.contributor.authorHalámek, Josefcs
dc.contributor.authorJurák, Pavelcs
dc.coverage.issue7cs
dc.coverage.volume37cs
dc.date.accessioned2021-12-09T15:52:44Z
dc.date.available2021-12-09T15:52:44Z
dc.date.issued2016-05-13cs
dc.description.abstractThe growing technical standard of acquisition systems allows the acquisition of large records, often reaching gigabytes or more in size as is the case with whole-day electroencephalograph (EEG) recordings, for example. Although current 64-bit software for signal processing is able to process (e.g. filter, analyze, etc) such data, visual inspection and labeling will probably suffer from rather long latency during the rendering of large portions of recorded signals. For this reason, we have developed SignalPlant—a stand-alone application for signal inspection, labeling and processing. The main motivation was to supply investigators with a tool allowing fast and interactive work with large multichannel records produced by EEG, electrocardiograph and similar devices. The rendering latency was compared with EEGLAB and proves significantly faster when displaying an image from a large number of samples (e.g. 163-times faster for 75×106 samples). The presented SignalPlant software is available free and does not depend on any other computation software. Furthermore, it can be extended with plugins by third parties ensuring its adaptability to future research tasks and new data formats.en
dc.formattextcs
dc.format.extentN38-N48cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationPHYSIOLOGICAL MEASUREMENT. 2016, vol. 37, issue 7, p. N38-N48.en
dc.identifier.doi10.1088/0967-3334/37/7/N38cs
dc.identifier.issn0967-3334cs
dc.identifier.other128330cs
dc.identifier.urihttp://hdl.handle.net/11012/203139
dc.language.isoencs
dc.publisherIOP Publishingcs
dc.relation.ispartofPHYSIOLOGICAL MEASUREMENTcs
dc.relation.urihttp://stacks.iop.org/0967-3334/37/i=7/a=N38cs
dc.rightsCreative Commons Attribution 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0967-3334/cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.subjectdata visualizationen
dc.subjectsoftwareen
dc.subjectsignal processingen
dc.subjectECGen
dc.subjectEEGen
dc.titleSignalPlant: an open signal processing software platformen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-128330en
sync.item.dbtypeVAVen
sync.item.insts2021.12.09 16:52:43en
sync.item.modts2021.12.09 16:14:22en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
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