Eeg analysis in cerebral death condition using wavelet packet decomposition

dc.contributor.authorSantoni, Federico
dc.contributor.authorMarrosu, Francesco
dc.date.accessioned2014-04-08T09:27:18Z
dc.date.available2014-04-08T09:27:18Z
dc.date.issued2003
dc.description.abstractThis paper proposes a methodology for extracting features from EEG in suspected brain death conditions. Those signals are usually caracterized by a low SNR and in such situations distortions introduced by skull/electrode/cable interface become very relevant. After a calibration procedure, the analysis of EEG signals was performed with a Wavelet Packet Decomposition filter, where the main component of noise are removed with soft thresholding strategy. We propose an estimate of error probability leading to the choice of wavelet basis and threshold parameters. As result, in absence of brain activity, the output of this filter produces really flat signals. However the presence of some activity can be examinated in WP time-frequency domain revealing distinctions between real brain activity, narrow band noise and artifacts.IT
dc.description.pagenumber110-117IT
dc.identifier.isbn88-7488-055-3IT
dc.identifier.urihttp://hdl.handle.net/11050/775
dc.language.isoenIT
dc.publisherEsculapioIT
dc.relation.ispartofMathematical Modelling & Computing In Biology And MedicineIT
dc.relation.ispartofseries1IT
dc.subjectelectroencephalographic (EEG)IT
dc.subjectbrain deathIT
dc.subjectintensive care units (ICU)IT
dc.subject.een-cordisEEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::IT e applicazioni telematiche::Applicazioni per la saluteIT
dc.subject.een-cordisEEN CORDIS::SCIENZE BIOLOGICHE ::Medicina, salute umana::Neurologia, ricerca sul cervelloIT
dc.titleEeg analysis in cerebral death condition using wavelet packet decompositionIT
dc.typeContributo in un libroIT
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