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An Approach to Quantifying the Multi‐Channel EEG Spatial‐Temporal Feature
Author(s) -
Lo PeiChen,
Chung WenPo
Publication year - 2000
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/1521-4036(200011)42:7<901::aid-bimj901>3.0.co;2-n
Subject(s) - electroencephalography , pattern recognition (psychology) , channel (broadcasting) , computer science , waveform , artificial intelligence , coherence (philosophical gambling strategy) , feature (linguistics) , frequency domain , correlation dimension , spatial analysis , speech recognition , mathematics , statistics , computer vision , fractal dimension , psychology , telecommunications , mathematical analysis , radar , linguistics , philosophy , fractal , psychiatry
Investigation of spatial characteristics in the multi‐channel EEG (electroencephalogram) has been of great importance to the fundamental and clinical medicine. Conventional methods are mostly based on the coherence and correlation analysis in time and frequency domain. The authors present the method of quantifying the global waveform complexity in EEG by analyzing the high‐dimensional state‐space trajectory constructed from the multi‐channel EEG. The resulting average complexity index ( $\bar \delta$ ) is well distinct between the background (4.0 ∼ 4.5) and event (3.0 ∼ 3.5 for the focal‐sharp‐wave transient) in the 5‐channel case study. In addition, the running $\bar \delta$ measurement for different electrode arrays, for a fixed number of state‐space dimension ( n = 5), reveals the EEG spatial characteristic. An array composed of nearby channels with similar EEG activities tends to have a small $\bar \delta$ . On the other hand, the computed $\bar \delta$ increases as the array consists of electrode sites with spatially incorrelated EEG activities. Thus the method is capable of quantifying the spatial‐temporal feature of the multi‐channel EEG.