Method for the analysis, display and classification of multivari

Surgery – Truss – Pad

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A61B 504

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active

041889568

ABSTRACT:
A method in electroencephalography (EEG) for the display of neurometric test data in which electrical activity generated by the brain either spontaneously or in response to specified challenges or conditions is detected at specified locations on the head surface of the subject by a plurality of electrodes. Features extracted from the spontaneous or evoked brain waves are quantified according to specified neurometric indices and categorized, using the mean values and standard deviations of control groups, according to their relative probability in a population of normal healthy people. Multivariate methods such as multiple analysis of variance or stepwise discriminate analysis can be used to identify independent features particularly useful for diagnosis. The values of such features can be used to construct a multivariate vector for each individual patient. If the length of this vector for data from a specified electrode placement is above the norm by a predetermined amount, for example, two standard errors, a plus sign is plotted at the corresponding position in a head diagram. If it is below the norm, for example, by more than two standard deviations (p<0.01), a minus sign is plotted on the head diagram.

REFERENCES:
patent: 3498287 (1970-03-01), Ertl
patent: 3893450 (1975-07-01), Ertl
patent: 4094307 (1978-06-01), Young, Jr.
Ueno et al., "Memoirs of the Faculty of Engineering Kyushu University, vol. 34, No. 3, Feb. 1975, pp. 195-209.

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