A Local Neural Classifier for The Recognition of EEG Pattern Associated to Mental Tasks  

Oleh:

Varsta, M. ; Mourino, J. ; Babiloni, F. ; Cincotti, F. ; Heikkonen, J. ; Franze, M. ; Millan, J. del R

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 3 (2002), page 678-686.
Topik: Pattern; local neural; classifier; recognition; EEG pattern; mental tasks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

This paper proposes a novel and simple local neural classifier for the recognition of mental tasks from on - line spontaneous EEG signals. The proposed neural classifier recognizes three mental tasks from on - line spontaneous EEG signals. Correct recognition is around 70 %. This modest rate is largely compensated by two properties, namely low percentage of wrong decisions (below 5 %) and rapid responses (every 1/2 s). Interestingly, the neural classifier achieves this performance with a few units, normally just one per mental task. Also, since the subject and his / her personal interface learn simultaneously from each other, subjects master it rapidly (in a few days of moderate training). Finally, analysis of learned EEG patterns confirms that for a subject to operate satisfactorily a brain interface, the latter must fit the individual features of the former.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali