BioSig: Free and Open Source Software Library for BCI Research.
The article discusses BioSig, a free and open-source repository of software tools useful in brain-computer interface (BCI) research. BCI designers need to record, interpret, and translate into action brain activity, and BioSig makes available to these researchers a library of signal-processing tools...
| Publicado en: | Computer (00189162) Vol. 41; no. 10; pp. 44 - 51 |
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| Autores principales: | , |
| Formato: | Artículo |
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IEEE
Oct2008
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=34838995&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 34838995 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Oct2008 vid: 41 iid: 10 pid: 13605 pub: IEEE artinfo: ui: 34838995 10.1109/MC.2008.407 ppf: 44 ppct: 7 formats: tig: atl: BioSig: Free and Open Source Software Library for BCI Research. aug: au: Schlögl, Alois Brunner, Clemens affil: Postdoctoral researcher and lecturer, Institute for Human-Computer Interfaces, Graz University of Technology. Postdoctoral researcher, Institute for Knowledge Discovery, Graz University of Technology. su: Brain-computer interfaces User interfaces Computer software Software engineering Computer programming Open source software sug: subj: Brain-computer interfaces User interfaces Computer software Software engineering Computer programming Open source software ab: The article discusses BioSig, a free and open-source repository of software tools useful in brain-computer interface (BCI) research. BCI designers need to record, interpret, and translate into action brain activity, and BioSig makes available to these researchers a library of signal-processing tools. Functionality includes a common interface for several dozen data formats, automated overflow and saturation detection tools, several estimators for adaptive autoregressive parameters, and multiple evaluation criteria. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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