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A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation

Götz, Th, Stadler, L, Fraunhofer, G, Tomé, A M , Hausner, H and Lang, E W (2016) A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation. Journal of Neural Engineering 14 (1), 016011.

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Other URL: http://doi.org/10.1088/1741-2552/14/1/016011


Abstract

Objective. We propose a combination of a constrained independent component analysis (cICA) with an ensemble empirical mode decomposition (EEMD) to analyze electroencephalographic recordings from depressed or schizophrenic subjects during olfactory stimulation. Approach. EEMD serves to extract intrinsic modes (IMFs) underlying the recorded EEG time. The latter then serve as reference signals to ...

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Item type:Article
Date:2016
Institutions:Medicine > Lehrstuhl für Psychiatrie und Psychotherapie
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie
Identification Number:
ValueType
10.1088/1741-2552/14/1/016011DOI
Keywords:EMPIRICAL MODE DECOMPOSITION; INDEPENDENT COMPONENT ANALYSIS; ULTRA-HIGH RISK; MAJOR DEPRESSION; MISMATCH NEGATIVITY; HILBERT SPECTRUM; QUANTITATIVE EEG; CONSTRAINED ICA; BRAIN ACTIVITY; PSYCHOSIS; constraint independent component analysis; ensemble empirical mode decomposition; independent modes; electroencephalography; depression; schizophrenia
Dewey Decimal Classification:500 Science > 570 Life sciences
600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:38788
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