System and method for obtaining blood glucose concentration using temporal independent component analysis (ICA)
AssigneeSamsung Electronics Co., Ltd.
InventorsGorish Aggarwal, Kiran Bynam, Sujit Jos, So Young Lee
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Abstract
A method for obtaining blood glucose concentration using near infrared spectroscopy (NIR) data is provided. The method includes obtaining, by an independent component analysis (ICA) temporal module, orthogonal pure spectra from human NIR spectra; performing, by a processing module, one or more preprocessings and drift removal on the human NIR spectra and the orthogonal pure spectra to obtain preprocessed spectra; and obtaining, by a regression block, the blood glucose concentration from the preprocessed spectra.
Claims17
A method for obtaining blood glucose concentration using near infrared spectroscopy (NIR) data, the method comprising:
- obtaining, by an independent component analysis (ICA) temporal module, orthogonal pure spectra from human NIR spectra;
- performing, by a processing module, one or more preprocessings and drift removal on the human NIR spectra and the orthogonal pure spectra to obtain preprocessed spectra;
- and
- obtaining, by a regression block, a blood glucose concentration from the preprocessed spectra,
- wherein the obtaining the orthogonal pure spectra comprises:
- obtaining, by a pre-data whitening unit, data whitened NIR spectra based on performing transformation on the human NIR spectra;
- calculating, by an iterative processing unit, an orthogonal pure spectrum from the data whitened NIR spectra;
- calculating new deflated NIR spectra to be transmitted to the iterative processing unit, to compute a new orthogonal pure spectrum based on removal of an effect of the previously calculated orthogonal pure spectrum;
- and
- combining one or more computed orthogonal pure spectrums to obtain the orthogonal pure spectra.
A system for obtaining blood glucose concentration using near infrared spectroscopy (NIR) data, the system comprising:
- at least one processor comprising:
- an independent component analysis (ICA) temporal module configured to obtain orthogonal pure spectra from human NIR spectra;
- a processing module configured to perform one or more preprocessings and drift removal on the human NIR spectra and the orthogonal pure spectra to obtain preprocessed spectra;
- and
- a regression block configured to obtain a blood glucose concentration from the preprocessed spectra,
- wherein the ICA temporal module comprises:
- a pre-data whitening unit configured to:
- obtain data whitened NIR spectra based on performing transformation on the human NIR spectra;
- an iterative processing unit configured to calculate an orthogonal pure spectrum from the data whitened NIR spectra;
- a deflation module configured to calculate new deflated NIR spectra to be transmitted to the iterative processing unit, to compute a new orthogonal pure spectrum based on removal of an effect of the previously calculated orthogonal pure spectrum;
- and
- a learning algorithm unit configured to combine one or more computed orthogonal pure spectrums to obtain the orthogonal pure spectra.
Dependencies are inferred from the claim text.