Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloAnalysis of temporal non-stationarities in EEG signals by means of parametric modelling
Anno di pubblicazione1996
FormatoCartaceo
Autore/iTognola, G; Ravazzani, P; Minicucci, F; Locatelli, T; Grandori, F; Ruohonen, J;Comi, G
Affiliazioni autoriSystem Theory Centre (CNR), Department of Biomedical Engineering - Polytechnic of Milan, Milan, Italy Department of Neurology, H.S. Raffaele, Milan, Italy BioMag Laboratory, Medical Engineering Centre, Helsinki University Central Hospital, Helsinki, Finland
Autori CNR e affiliazioni
  • FERDINANDO GRANDORI
  • PAOLO GIUSEPPE RAVAZZANI
  • GABRIELLA TOGNOLA
Lingua/e
  • inglese
AbstractA method for the analysis of variability of EEG signals is described. We examined simulated signals and real EEGs obtained from a normal subject and two epileptic patients. The first step of the method is based on autoregressive (AR) modelling of short EEG epochs. Prediction coefficients of the AR model were computed as a function of time from partially-overlapping moving windows of 2 s duration. The temporal behaviour of these coefficients was analysed to detect variability: quasi-stationary activity causes only smooth changes in the coefficients while variations in the amplitude and/or the frequency content of the signal are shown to produce sharp changes in the coefficients. A segmentation algorithm was developed to detect and quantify with a numerical value (Difference Measure, DM) the AR coefficients variations.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da169
Pagine a185
Pagine totali-
RivistaTechnology and health care
Attiva dal 1993
Editore: Elsevier - Tokyo ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0928-7329
Titolo chiave: Technology and health care
Titolo abbreviato: Technol. health care
Numero volume della rivista4
Fascicolo della rivista2
DOI-
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • PubMed (Codice:8885095)
Parole chiaveutoregressive modelling; clinical EEG; non-adaptive segmentation; temporal variability
Link (URL, URI)http://www.ncbi.nlm.nih.gov/pubmed/8885095
Titolo parallelo-
Data di accettazione-
Note/Altre informazioniEditorial Board: internazionale
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
  • ISIB — ISIB - Milano
Moduli CNR
    Progetti Europei-
    Allegati