A Nonlinear Circuit Architecture for Magnetoencephalographic Signal Analysis

Methods of Information in Medicine

Volumn 43, Issue 1, 2004, Pages 89-93

  Bucolo, M ^a   Fortuna, L ^a   Frasca, M ^a   La Rosa, M ^a   Virzi, M C ^a   Shannahoff Khalsa, D ^b  

^a UNIVERSITY OF CATANIA   (Italy)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Blind sources separation; Cellular Neural Network (CNN); Magnetoencephalography

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BREATHING EXERCISE; CONFERENCE PAPER; EXERCISE; HUMAN; MAGNETOENCEPHALOGRAPHY; NONLINEAR SYSTEM; OBSESSIVE COMPULSIVE DISORDER; PRIORITY JOURNAL; SIGNAL PROCESSING; YOGA;

EID: 1642361472     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1633842     Document Type: Conference Paper

References (6)

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2. Fortuna L, Bucolo M, Frasca M, La Rosa M, Shannahoff-Khalsa DS, Schult RL, Wright JA. Independent Component Analysis of Magneto-encephalography Data. Proceedings EMBC. Istanbul (Turkey); 2001.
3. Jung TP, Makeig S, McKeown MJ, Bell AJ, Lee TW, Sejnowkski TJ. Imaging brain dynamics using Independent Component Analysis. IEEE Proceedings, in press.
4. Hyvarinen A, Oja E. Independent component analysis: algorithms and applications. Neural Networks 2000; 13: 411-30.
5. Chua LO, Yang L. Cellular Neural Networks: Theory. IEEE Trans. on Circuits and Systems 1988; 35: 1257-72.
6. Shannahoff-Khalsa D, Ray LE, Levine S, Gallen CC, Schwartz BJ, Sidorowich JJ. Randomized Controlled Trial of Yogic Meditation Techniques for patients with Obsessive Compulsive Disorders. CNS Spectrum: Int J Neuropsychiatric Medicine 1999; 4 (12):34-46.