Method and apparatus for predicting in vivo analyte concentration using learning and a net analyte signal
AssigneeSamsung Electronics Co., Ltd.
InventorsSeonmyeong Choi, Jinyoung Park
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Abstract
A method for predicting a concentration of an in vivo analyte includes obtaining a plurality of in vivo spectra of the in vivo analyte, determining a learning section for a concentration predicting algorithm for the analyte based on an unchanged section, during which the concentration of the analyte is not substantially changed, and a plurality of the in vivo spectra, and predicting the concentration of the in vivo analyte by using the concentration predicting algorithm based on a learned result of the learning section and an intrinsic spectrum of the in vivo analyte.
Claims27
A method for predicting a concentration of an in vivo analyte, the method comprising:
- obtaining a plurality of in vivo spectra of the in vivo analyte;
- determining a learning section of a concentration predicting algorithm for the in vivo analyte based on an unchanged section, during which a concentration of the in vivo analyte is not substantially changed, and the in vivo spectra;
- and
- predicting the concentration of the in vivo analyte by using the concentration predicting algorithm based on a learned result of the learning section and an intrinsic spectrum of the in vivo analyte.
An apparatus for predicting a concentration of an in vivo analyte, the apparatus comprising:
- a processor;
- and
- a memory,
- wherein the processor executes a program stored in the memory to perform:
- obtaining a plurality of in vivo spectra of the in vivo analyte;
- determining a learning section for predicting the concentration of the in vivo analyte using a net analyte signal based on an unchanged section, and based on the in vivo spectra, wherein the unchanged section is a time duration during which a concentration of the analyte is not substantially changed, and wherein the determining the learning section comprises:
- calculating similarities between the in vivo spectra;
- determining a section, which has a predetermined similarity, based on the calculated similarities between the in vivo spectra as a similar section;
- and
- determining a section, during which the unchanged section and the similar section overlap each other, as the learning section;
- and
- predicting the concentration of the in vivo analyte by using the net analyte signal and a spectrum changing factor, which factor is not a function of a change in the concentration of the in vivo analyte, during the learning section and by using an intrinsic spectrum of the in vivo analyte, wherein the intrinsic spectrum is a spectrum of the analyte itself obtained from a sample comprised of the analyte dissolved in an aqueous buffer solution.
Dependencies are inferred from the claim text.