Title :
The study of human brain electrical activity-a topographic mapping approach
Author_Institution :
Inst. of Signaling & Commun., China Acad. of Railroad Sci., Beijing, China
Abstract :
The topographic analysis of human brain electrical activity is presented. Using the fast Fourier transform spectrum characteristics of electroencephalography (EEG), the author puts forward the minimal-square-optimal-approximation as the norm of the dualistic polynomial camber approximation to formulate brain electrical activity maps. It gives a figurative description of the EEG data, and its discrepancies are of great value to clinical analyses. The results are satisfactory
Keywords :
computerised pattern recognition; computerised signal processing; electroencephalography; fast Fourier transforms; least squares approximations; medical computing; spectral analysis; dualistic polynomial camber approximation; electroencephalography; fast Fourier transform spectrum characteristics; human brain electrical activity; minimal-square-optimal-approximation; picture processing; topographic mapping approach; Approximation algorithms; Brain; Clinical diagnosis; Electrodes; Electroencephalography; Humans; Pathology; Polynomials; Rhythm; Skull;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28317
