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000000304 037__ $$aENY-ARTICLE-2009-243
000000304 041__ $$aeng
000000304 088__ $$aAZ I07/2005/I-022
000000304 100__ $$aCichocki, A$$uLaboratory for Advanced Brain Signal Processing, Japan
000000304 245__ $$aEEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease
000000304 260__ $$c2004-08-16
000000304 300__ $$a9p
000000304 500__ $$aClinical Neurophysiology, 2005, vol. 116, No. 3, pp. 729-737.
000000304 520__ $$aObjective: Development of an EEG preprocessing technique for improvement of detection of Alzheimer’s disease (AD). The technique is based on filtering of EEG data using blind source separation (BSS) and projection of components which are possibly sensitive to cortical neuronal impairment found in early stages of AD. Method: Artifact-free 20 s intervals of raw resting EEG recordings from 22 patients with Mild Cognitive Impairment (MCI) who later proceeded to AD and 38 age-matched normal controls were decomposed into spatio-temporally decorrelated components using BSS algorithm ‘AMUSE’. Filtered EEG was obtained by back projection of components with the highest linear predictability. Relative power of filtered data in delta, theta, alpha1, alpha2, beta1, and beta 2 bands were processed with Linear Discriminant Analysis (LDA). Results: Preprocessing improved the percentage of correctly classified patients and controls computed with jack-knifing cross-validation from 59 to 73% and from 76 to 84%, correspondingly. Conclusions: The proposed approach can significantly improve the sensitivity and specificity of EEG based diagnosis. Significance: Filtering based on BSS can improve the performance of the existing EEG approaches to early diagnosis of Alzheimer’s disease. It may also have potential for improvement of EEG classification in other clinical areas or fundamental research. The developed method is quite general and flexible, allowing for various extensions and improvements. q 2004 Published by Elsevier Ireland Ltd. on behalf of International Federation of Clinical Neurophysiology.
000000304 6531_ $$aAlzheimer’s disease
000000304 6531_ $$aDiagnosis
000000304 6531_ $$aEEG
000000304 6531_ $$aBlind Source Separation
000000304 6531_ $$aAMUSE
000000304 6531_ $$aFiltering
000000304 700__ $$aShishkin, S L$$uLaboratory for Advanced Brain Signal Processing, Japan
000000304 700__ $$aMusha, T$$uBrain Functions Laboratory Inc., Japan
000000304 700__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000304 700__ $$aAsada, T$$uDepartment of Neuropsychiatry, Tsukuba University, Japan
000000304 700__ $$aKurachi, T$$uBrain Functions Laboratory Inc., Japan
000000304 8560_ $$fleon99@pwr.wroc.pl
000000304 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/304/files/$$zAccess to Fulltext
000000304 909CO $$ooai:zet10.pwr.wroc.pl:304$$pglobal
000000304 980__ $$aARTICLE