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SignalPlant: an open signal processing software platform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F16%3A00464043" target="_blank" >RIV/68081731:_____/16:00464043 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/16:PU120326

  • Result on the web

    <a href="http://dx.doi.org/10.1088/0967-3334/37/7/N38" target="_blank" >http://dx.doi.org/10.1088/0967-3334/37/7/N38</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/0967-3334/37/7/N38" target="_blank" >10.1088/0967-3334/37/7/N38</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SignalPlant: an open signal processing software platform

  • Original language description

    The 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 standalone 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 thirdparties ensuring its adaptability to future research tasks and new data formats.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FS - Medical facilities, apparatus and equipment

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physiological Measurement

  • ISSN

    0967-3334

  • e-ISSN

  • Volume of the periodical

    37

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    "N38"-"N48"

  • UT code for WoS article

    000380814700001

  • EID of the result in the Scopus database

    2-s2.0-84979992257