Artificial Intelligence in Medicine
Volume 40, Issue 2 , Pages 127-141, June 2007

The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy☆☆☆

  • Massimo Buscema

      Affiliations

    • Semeion Research Centre, Via Sersale, 117, 00128 Rome, Italy
    • Corresponding Author InformationCorresponding author. Tel.: +39 06 50652350; fax: +39 06 5060064.
    • ,
  • Paolo Rossini

      Affiliations

    • Associazione Fatebenefratelli per la ricerca, A.Fa.R., Isola Tiberina, Roma, Italy
    • Istituto di Ricovero e Cura a Carattere Scientifico “S. Giovanni di Dio - Fatebenefratelli”, Via Piastroni, 4, 25125 Brescia, Italy
    • Neurology, Campus Biomedico University, Via Emilio Longoni, 83 - 00155 Rome, Italy
    • ,
  • Claudio Babiloni

      Affiliations

    • Associazione Fatebenefratelli per la ricerca, A.Fa.R., Isola Tiberina, Roma, Italy
    • Istituto di Ricovero e Cura a Carattere Scientifico “S. Giovanni di Dio - Fatebenefratelli”, Via Piastroni, 4, 25125 Brescia, Italy
    • Dipartimento di Fisiologia Umana e Farmacologia, University “La Sapienza”, Piazzale A. Moro, 5, 00185 Rome, Italy
    • ,
  • Enzo Grossi

      Affiliations

    • Bracco SpA Medical Department, Via E. Folli, 50, 20134 Milan, Italy

Received 2 May 2006; received in revised form 19 January 2007; accepted 7 February 2007.

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☆ IFAST is a European patent (application number EP06115223.7; date of receipt: 09.06.2006). Owner: Semeion Research Center of Sciences of Communication, Via Sersale, 117, Rome 00128, Italy. Inventor: Massimo Buscema. For software implementation see Gauthier [Gauthier, Alzheimer disease, Alzheimer disease: the benefits of early treatment, Eur J Neurol; 2005;12(3):11–6].

☆☆ Dr. C. Del Percio (Associazione Fatebenefratelli per la ricerca) organized the EEG data cleaning; Dr. S. Terzi (Semeion) programmed the BWB Model; Dr. M. Capriotti (Semeion) and Mr. M. Intraligi (Semeion) processed EEG data according to IFAST methodology and BWB Model.

PII: S0933-3657(07)00015-2

doi:10.1016/j.artmed.2007.02.006

Artificial Intelligence in Medicine
Volume 40, Issue 2 , Pages 127-141, June 2007

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