Independent component approach to the analysis of EEG and MEG recordings

• Published in: IEEE transactions on biomedical engineering Vol. 47; no. 5; pp. 589 - 593
• Main Authors: Vigario, R., Sarela, J., Jousmiki, V., Hamalainen, M., Oja, E.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-05-2000; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Bioelectric potentials; Biological and medical sciences; Blind source separation; Data mining; Electrodiagnosis. Electric activity recording; Electroencephalography; Evoked Potentials, Auditory - physiology; Evoked Potentials, Somatosensory - physiology; Feature extraction; Humans; Independent component analysis; Investigative techniques, diagnostic techniques (general aspects); Magnetic analysis; Magnetic separation; Magnetoencephalography; Mathematical models; Mathematical transformations; Medical sciences; Nervous system; Neurophysiology; Signal analysis; Signal processing algorithms; Signal Processing, Computer-Assisted; Source separation; Human; Magnetoencephalography; Central nervous system; Visual evoked potential; Artefact; Electroencephalography; Information extraction; Statistical method; Electrodiagnosis; Multichannel circuit; Auditory evoked potential; Somatosensory evoked potential; Signal analysis; Brain (vertebrata)
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/10.841330

Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to facilitate the representation and interpretation of the data. Recently developed independent component analysis (ICA) has been shown to be an efficient tool for artifact identification and extraction from electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings. In addition, ICA has been applied to the analysis of brain signals evoked by sensory stimuli. This paper reviews our recent results in this field.