An environment for complex behaviour detection in bio-potential experiments
We propose BioS (Bio-potential Study) as a new virtual data anal-ysis and management environment.It was devised to cope with the physiologicalsignals, in order to manage different data using advanced methods of analy-sis and to find a simple way to decode and interpret data. BioS has beenstructured...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2008-02-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.261 |
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| _version_ | 1832590194144968704 |
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| author | Maide Bucolo Federica Di Grazia Luigi Fortuna Mattia Frasca Francesca Sapuppo |
| author_facet | Maide Bucolo Federica Di Grazia Luigi Fortuna Mattia Frasca Francesca Sapuppo |
| author_sort | Maide Bucolo |
| collection | DOAJ |
| description | We propose BioS (Bio-potential Study) as a new virtual data anal-ysis and management environment.It was devised to cope with the physiologicalsignals, in order to manage different data using advanced methods of analy-sis and to find a simple way to decode and interpret data. BioS has beenstructured as a flexible, modular, and portable environment. It includes sev-eral modules as data importing and loading, data visualization (1D, 2D, 3D),pre-processing (frequency and saturation filtering, statistical analysis), spatio-temporal processing such as power spectrum, independent component analysis(ICA) in spatial and time domain, and nonlinear analysis for the extractionof the maximum Lyapunov exponent and d ∞(d-inifnite) using optimized al-gorithms. The environment provides a user-friendly Graphic User Interfacethat allows inexperienced users to perform complex analyses and to speed upexperimental data processing. |
| format | Article |
| id | doaj-art-7af5ddc0f5fc4ea9948c1a3d1fa5d9f7 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2008-02-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-7af5ddc0f5fc4ea9948c1a3d1fa5d9f72025-01-24T01:58:10ZengAIMS PressMathematical Biosciences and Engineering1551-00182008-02-015226127610.3934/mbe.2008.5.261An environment for complex behaviour detection in bio-potential experimentsMaide Bucolo0Federica Di Grazia1Luigi Fortuna2Mattia Frasca3Francesca Sapuppo4Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 CataniaDipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 CataniaDipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 CataniaDipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 CataniaDipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 CataniaWe propose BioS (Bio-potential Study) as a new virtual data anal-ysis and management environment.It was devised to cope with the physiologicalsignals, in order to manage different data using advanced methods of analy-sis and to find a simple way to decode and interpret data. BioS has beenstructured as a flexible, modular, and portable environment. It includes sev-eral modules as data importing and loading, data visualization (1D, 2D, 3D),pre-processing (frequency and saturation filtering, statistical analysis), spatio-temporal processing such as power spectrum, independent component analysis(ICA) in spatial and time domain, and nonlinear analysis for the extractionof the maximum Lyapunov exponent and d ∞(d-inifnite) using optimized al-gorithms. The environment provides a user-friendly Graphic User Interfacethat allows inexperienced users to perform complex analyses and to speed upexperimental data processing.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.261nonlinear analysisindependent componentanalysisd-infinite(d ∞). |
| spellingShingle | Maide Bucolo Federica Di Grazia Luigi Fortuna Mattia Frasca Francesca Sapuppo An environment for complex behaviour detection in bio-potential experiments Mathematical Biosciences and Engineering nonlinear analysis independent componentanalysis d-infinite(d ∞). |
| title | An environment for complex behaviour detection in bio-potential experiments |
| title_full | An environment for complex behaviour detection in bio-potential experiments |
| title_fullStr | An environment for complex behaviour detection in bio-potential experiments |
| title_full_unstemmed | An environment for complex behaviour detection in bio-potential experiments |
| title_short | An environment for complex behaviour detection in bio-potential experiments |
| title_sort | environment for complex behaviour detection in bio potential experiments |
| topic | nonlinear analysis independent componentanalysis d-infinite(d ∞). |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.261 |
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