Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis (Contributo in atti di convegno) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• Hartwig V.; Milanesi M.; Vanello N.; Giovannetti G.; Landini L.; Benassi A. (2006)
  Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis
  in Twelfth Annual Meeting of the Organization for Human Brain Mapping, Florence
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Hartwig V.; Milanesi M.; Vanello N.; Giovannetti G.; Landini L.; Benassi A. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: Twelfth Annual Meeting of the Organization for Human Brain Mapping (Florence, 11-15 June 2006). Proceedings, pp. S72-. Corbetta, M., Nichols, T., Pietrini, P. (eds.). (NeuroImage). Elsevier, 2006. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: Functional cerebral near infrared spectroscopy (NIRS) measurements are a mixture of several components belonging to different physiological phenomena like those related to neural activation, arterial pulsatility or respiration rate. Blind source separation (BSS) methods try to separate these contributions assuming that neither the source signals nor the mixing processes are known. Independent component analysis (ICA) is a BSS technique that estimates the original sources even though they overlap in time and frequency. In this work ICA is applied to separate the neural activation induced in the NIRS signals from other contributions of no interest. In order to assess the reliability of the separation procedure, the neural activation component is returned into the observation space and compared with the acquired signals linearly filtered to remove the arterial pulsatility and the respiratory rate (literal)

Titolo

• Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis (literal)

Prodotto di

• Tecnologie Biomediche (ME.P06.008.001) (Modulo)
• Institute of clinical physiology (IFC) (Istituto)

Autore CNR

• ANTONIO BENASSI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of clinical physiology (IFC) (Istituto)
• Tecnologie Biomediche (ME.P06.008.001) (Modulo)

Autore CNR di

• ANTONIO BENASSI (Unità di personale interno)

Insieme di parole chiave di

• Keywords of "Functional Near Infrared Spectroscopy Signals Separation by Independent Component Analysis" (Insieme di parole chiave)