Detection of Structural Features in Biological Signals
Samo za registrovane korisnike
2010
Autori
Jovanović, AleksandarPerović, Aleksandar
Klonowski, Wlodzimierz
Duch, Wlodzislaw
Đorđević, Zoran
Spasić, Slađana
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
In this article structures in biological signals are treated. The simpler-directly visible in the signals, which still demand serious methods and algorithms in the feature detection, similarity investigation and classification. The major actions in this domain are of geometric, thus simpler sort, though there are still hard problems related to simple situations. The other large class of less simple signals unsuitable for direct geometric or statistic approach, are signals with interesting frequency components and behavior, those suitable for spectroscopic analysis. Semantics of spectroscopy, spectroscopic structures and research demanded operations and transformations on spectra and time spectra are presented. The both classes of structures and related analysis methods and tools share a large common set of algorithms, all of which aiming to the full automatization. Some of the signal features present in the brain signal patterns are demonstrated, with the contexts relevant in BCI, brai...n computer interfaces. Mathematical representations, invariants and complete characterization of structures in broad variety of biological signals are in the central focus.
Ključne reči:
WYSIWIG in geometric structures and spectroscopy / Structures in biological signals / Spectrogram features / Mathematical invariants and characterizations / BCI-brain computer interfaceIzvor:
Journal of Signal Processing Systems for Signal Image and Video Technology, 2010, 60, 1, 115-129Izdavač:
- Springer, New York
Finansiranje / projekti:
- Efekti traumatskih, neurotoksičnih i neuroprotektivnih faktora na električnu aktivnost mozga sisara. Analiza i modeliranje (RS-MESTD-MPN2006-2010-143021)
- Uticaj magnetnih polja kao ekofiziološkog faktora na različite biološke sisteme i moguća primena u biomedicini (RS-MESTD-MPN2006-2010-143027)
DOI: 10.1007/s11265-009-0407-7
ISSN: 1939-8018
WoS: 000276722700009
Scopus: 2-s2.0-77951254276
Institucija/grupa
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Jovanović, Aleksandar AU - Perović, Aleksandar AU - Klonowski, Wlodzimierz AU - Duch, Wlodzislaw AU - Đorđević, Zoran AU - Spasić, Slađana PY - 2010 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/381 AB - In this article structures in biological signals are treated. The simpler-directly visible in the signals, which still demand serious methods and algorithms in the feature detection, similarity investigation and classification. The major actions in this domain are of geometric, thus simpler sort, though there are still hard problems related to simple situations. The other large class of less simple signals unsuitable for direct geometric or statistic approach, are signals with interesting frequency components and behavior, those suitable for spectroscopic analysis. Semantics of spectroscopy, spectroscopic structures and research demanded operations and transformations on spectra and time spectra are presented. The both classes of structures and related analysis methods and tools share a large common set of algorithms, all of which aiming to the full automatization. Some of the signal features present in the brain signal patterns are demonstrated, with the contexts relevant in BCI, brain computer interfaces. Mathematical representations, invariants and complete characterization of structures in broad variety of biological signals are in the central focus. PB - Springer, New York T2 - Journal of Signal Processing Systems for Signal Image and Video Technology T1 - Detection of Structural Features in Biological Signals EP - 129 IS - 1 SP - 115 VL - 60 DO - 10.1007/s11265-009-0407-7 ER -
@article{ author = "Jovanović, Aleksandar and Perović, Aleksandar and Klonowski, Wlodzimierz and Duch, Wlodzislaw and Đorđević, Zoran and Spasić, Slađana", year = "2010", abstract = "In this article structures in biological signals are treated. The simpler-directly visible in the signals, which still demand serious methods and algorithms in the feature detection, similarity investigation and classification. The major actions in this domain are of geometric, thus simpler sort, though there are still hard problems related to simple situations. The other large class of less simple signals unsuitable for direct geometric or statistic approach, are signals with interesting frequency components and behavior, those suitable for spectroscopic analysis. Semantics of spectroscopy, spectroscopic structures and research demanded operations and transformations on spectra and time spectra are presented. The both classes of structures and related analysis methods and tools share a large common set of algorithms, all of which aiming to the full automatization. Some of the signal features present in the brain signal patterns are demonstrated, with the contexts relevant in BCI, brain computer interfaces. Mathematical representations, invariants and complete characterization of structures in broad variety of biological signals are in the central focus.", publisher = "Springer, New York", journal = "Journal of Signal Processing Systems for Signal Image and Video Technology", title = "Detection of Structural Features in Biological Signals", pages = "129-115", number = "1", volume = "60", doi = "10.1007/s11265-009-0407-7" }
Jovanović, A., Perović, A., Klonowski, W., Duch, W., Đorđević, Z.,& Spasić, S.. (2010). Detection of Structural Features in Biological Signals. in Journal of Signal Processing Systems for Signal Image and Video Technology Springer, New York., 60(1), 115-129. https://doi.org/10.1007/s11265-009-0407-7
Jovanović A, Perović A, Klonowski W, Duch W, Đorđević Z, Spasić S. Detection of Structural Features in Biological Signals. in Journal of Signal Processing Systems for Signal Image and Video Technology. 2010;60(1):115-129. doi:10.1007/s11265-009-0407-7 .
Jovanović, Aleksandar, Perović, Aleksandar, Klonowski, Wlodzimierz, Duch, Wlodzislaw, Đorđević, Zoran, Spasić, Slađana, "Detection of Structural Features in Biological Signals" in Journal of Signal Processing Systems for Signal Image and Video Technology, 60, no. 1 (2010):115-129, https://doi.org/10.1007/s11265-009-0407-7 . .