Extracting aperiodic components from a time-series wave data set
AssigneeBrigham Young Univeristy
InventorsBruce Leonard Brown, Suzanne B. Hendrix, Dawson W. Hedges
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Abstract
A method is described for extracting aperiodic components from a time-series wave data set for diagnosis purposes. The method may include collecting time-series wave data within a controlled environment were a plurality of contrasting conditions can be used in collecting the time-series wave data set. Aperiodic components can be extracted from the time-series wave data set and the aperiodic components can then be fitted to the plurality of contrasting conditions of the controlled environment to product regressed aperiodic components from which diagnostic determination can be made.
Claims22
A method for extracting aperiodic components from a time-series wave data set for classification purposes, comprising:
- under control of one or more computer systems configured with executable instructions, collecting the time-series wave data set that includes contrasting conditions;
- performing component analysis of the time-series wave data set for a single subject of a plurality of subjects whereby a first set of aperiodic components are extracted from the time-series wave data set that represent the contrasting conditions;
- performing component analysis of the first set of aperiodic components producing a second set of aperiodic components that represent classifications of conditions associated with the plurality of subjects;
- and
- analyzing the second set of aperiodic components to identify relationships to classifications associated with the second set of aperiodic components.
A computer implemented method, comprising:
- under control of one or more computer systems configured with executable instructions, collecting time-series wave data that includes a plurality of contrasting conditions;
- extracting an ASD (aperiodic spectral decomposition) component from the time-series wave data using spectral decomposition;
- and
- fitting the ASD component to the plurality of contrasting conditions thereby providing an RASD (regressed aperiodic spectral decomposition) component from which diagnostic determinations are made.
A system for extracting aperiodic components from a time-series wave data set, comprising:
- a processor;
- a memory device including instructions that, when executed by the processor, cause the processor to execute:
- a factoring module to perform component analysis of a time-series wave data set where principal components are extracted from the time-series wave data set that represent a plurality of factors used to collect the time-series wave data set;
- a regression module to create regressed principal components by performing regression analysis of the principal components;
- and
- an analysis module to analyze the regressed principal components to identify characteristics associated with the regressed principal components.
Dependencies are inferred from the claim text.