Method and apparatus for enhanced estimation of an analyte property through multiple region transformation
First Claim
1. A method for developing a calibration score matrix, comprising the steps of:
- providing a matrix of calibration spectra;
generating N spectral matrices corresponding with N spectral regions of said calibration spectra, wherein N is an integer greater than or equal to two and wherein at least two of said N spectral regions are non-identical spectral regions;
independently decomposing each of said N spectral matrices to yield N score matrices;
independently selecting a plurality of factors for each of said N score matrices;
concatenating said selected number of factors for each of said N score matrices, to generate a calibration score matrix, andestimating, with a spectrometer, a target property from a prediction matrix using said calibration score matrix, wherein said spectrometer comprises a base module, a communication bundle, and a sample module, wherein said communication bundle integrates said sampling module and said base module.
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Abstract
The invention comprises transformation of a section of a data block independently of the transformation of separate or overlapping data blocks to determine a property related to the original matrix, where each of the separate or overlapping data blocks are derived from an original data matrix. The transformation enhances parameters of a first data block over a given region of an axis of the data matrix, such as signal-to-noise, without affecting analysis of a second data block derived from the data matrix. This allows for enhancement of analysis of an analyte property, such as concentration, represented within the original data matrix. A separate decomposition and factor selection for each selected data matrix is performed with subsequent score matrix concatenization. The combined score matrix is used to generate a model that is subsequently used to estimate a property, such as concentration represented in the original data matrix.
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Citations
18 Claims
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1. A method for developing a calibration score matrix, comprising the steps of:
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providing a matrix of calibration spectra; generating N spectral matrices corresponding with N spectral regions of said calibration spectra, wherein N is an integer greater than or equal to two and wherein at least two of said N spectral regions are non-identical spectral regions; independently decomposing each of said N spectral matrices to yield N score matrices; independently selecting a plurality of factors for each of said N score matrices; concatenating said selected number of factors for each of said N score matrices, to generate a calibration score matrix, and estimating, with a spectrometer, a target property from a prediction matrix using said calibration score matrix, wherein said spectrometer comprises a base module, a communication bundle, and a sample module, wherein said communication bundle integrates said sampling module and said base module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18)
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15. A method for estimating a property from a noninvasive spectrum, comprising the steps of:
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providing a matrix of calibration spectra; generating N spectral matrices corresponding to N spectral regions of said calibration spectra, wherein N is an integer greater than or equal to two and wherein at least two of said N spectral regions are non-identical spectral regions; independently decomposing each of said N spectral matrices yielding N score matrices; independently selecting a plurality of factors to represent each of said N score matrices; concatenating said selected number of factors for each of said N score matrices to generate a calibration score matrix; generating a calibration model using said calibration score matrix; and estimating, with a spectrometer, a target property represented by said noninvasive spectrum, wherein said spectrometer comprises a base module, a communication bundle, and a sample module, wherein said communication bundle integrates said sampling module and said base module.
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16. A method for developing a calibration for estimating a target property, comprising the steps of:
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providing a first calibration data block; generating N data blocks from said calibration data block, wherein N is an integer greater than or equal to two; transforming each of said N selected data blocks; combining said N transformed data blocks to form a second calibration matrix; and developing a calibration with said second calibration matrix; and estimating, with a spectrometer, a target property using said calibration, wherein said spectrometer comprises a base module, a communication bundle, and a sample module, wherein said communication bundle integrates said sampling module and said base module. - View Dependent Claims (17)
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Specification