Bereitschaftspotential modeling by DBNM and its application to BCI

Takata S., Yamazaki T., Sakamoto M., YAMANOİ T., Kamijo K.

Human Interface and the Management of Information: Interacting with Information - Symposium on Human Interface 2011, Held as Part of HCI International 2011, Orlando, FL, United States Of America, 9 - 14 July 2011, vol.6771 LNCS, pp.636-640, (Full Text) identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 6771 LNCS
  • Doi nömrəsi: 10.1007/978-3-642-21793-7_72
  • Çap olunduğu şəhər: Orlando, FL
  • Ölkə: United States Of America
  • Səhifə sayı: pp.636-640
  • Açıq Arxiv Kolleksiyası: Konfrans Materialı
  • Adres: Bəli

Qısa məlumat

In this study, movement-related potentials (MRPs) including Bereitschaftspotential (BP) is modeled by a dynamic Bayesian network model (DBNM). The containing the MRPs BP are divided into the early BP, NS' (negative slope) and MP (motor potential) intervals, each of which is represented by a Bayesian network model (BNM). Each BNM is constructed using the results by equivalent current dipole source localization (ECDL) after independent component analysis (ICA), for single-trial EEGs recorded during the hand movement. Nodes in the BNM correspond to the brain sites where dipoles are located. Connecting with the three BNMs yields a DBNM. This model is used to discriminate between the left- and right-hand movements in a framework of single-trial- electroencephalogram (EEG)-based BCI. © 2011 Springer-Verlag.