摘要:
There is disclosed a system and methods to estimate physiological parameters. In accordance with embodiments a method is disclosed which includes generating distribution data for a plurality of signals. The method may also include deconvolving one of the plurality of signals from the other plurality of signals to produce clean signals. The clean signals may then be used to calculate physiological parameters.
摘要:
Systems and methods for unmixing spectroscopic data using nonnegative matrix factorization during spectrographic data processing are provided according to various embodiments. In an embodiment, a method of processing spectrographic data may include receiving optical absorbance data associated with a sample and iteratively computing values for component spectra using nonnegative matrix factorization. The values for component spectra may be iteratively computed until optical absorbance data is approximately equal to a Hadamard product of a pathlength matrix and a matrix product of a concentration matrix and a component spectra matrix. The method may also include iteratively computing values for pathlength using nonnegative matrix factorization, in which pathlength values may be iteratively computed until optical absorbance data is approximately equal to a Hadamard product of the pathlength matrix and the matrix product of the concentration matrix and the component spectra matrix.
摘要:
Embodiments disclosed herein may include methods and systems capable of estimating the underlying concentrations of chromophores in a sample. The photon scattering and absorption model may be based on Laplace and stable distributions, which may reveal that measurements in diffuse reflectance may follow a Beer-Lambert and Kohlrausch-Williams-Watts (KWW) product. This Beer-Lambert portion of the product may dominate in high absorption sample areas, while the KWW portion of the product may dominate in low absorption sample areas.
摘要:
Systems and methods for unmixing spectroscopic data using nonnegative matrix factorization during spectrographic data processing are provided according to various embodiments. In an embodiment, a method of processing spectrographic data may include receiving optical absorbance data associated with a sample and iteratively computing values for component spectra using nonnegative matrix factorization. The values for component spectra may be iteratively computed until optical absorbance data is approximately equal to a Hadamard product of a pathlength matrix and a matrix product of a concentration matrix and a component spectra matrix. The method may also include iteratively computing values for pathlength using nonnegative matrix factorization, in which pathlength values may be iteratively computed until optical absorbance data is approximately equal to a Hadamard product of the pathlength matrix and the matrix product of the concentration matrix and the component spectra matrix.
摘要:
Embodiments of the present invention relate to a method of estimating a blood flow characteristic in a patient. Present embodiments include providing a first probability distribution for an actual value of a function of the blood flow characteristic based on a previous value of the function, providing a second probability distribution describing a probability that observations of the blood flow characteristic were made given that the blood flow characteristic took a certain value, and combining the first and second probability distributions to facilitate selection of a most likely value of the function for posting as the value of the estimated blood flow characteristic.
摘要:
There is disclosed a system and methods to estimate physiological parameters. In accordance with embodiments a method is disclosed which includes generating distribution data for a plurality of signals. The method may also include deconvolving one of the plurality of signals from the other plurality of signals to produce clean signals. The clean signals may then be used to calculate physiological parameters.
摘要:
Present embodiments include providing an initial estimate of a value representative of a blood flow characteristic at a current timestep, and determining a probability distribution of transition, wherein the probability distribution of transition includes potential values of the blood flow characteristic at the current timestep with associated probabilities of occurrence based solely on the initial estimate. Present embodiments further include obtaining an initial measurement of the blood flow characteristic, and determining a probability distribution of measured values, wherein the probability distribution of measured values includes potential values of the blood flow characteristic at the current timestep with associated probabilities of occurrence based on the initial measurement. Further, present embodiments include combining the probability of distribution of transition with the probability of distribution of measured values to determine a meaningful blood flow characteristic value, and posting the meaningful blood flow characteristic value.
摘要:
Embodiments of the present invention relate to a system and method for detecting a blood characteristic in a patient. Embodiments of the present invention may comprise detecting a first modulating signal at a first wavelength, detecting a second modulating signal at a second wavelength, and determining a relative amplitude of the first and second modulating signals. Further, embodiments of the present invention may comprise regressing the first and second modulating signals relative to one another, wherein a first uncertainty value in the first modulating signal and a second uncertainty value in the second modulating signal are accommodated.
摘要:
A method of manufacturing a pulse oximeter configured to classify patient data is disclosed. The method includes collecting a set of sample data and classifying the sample data as either pathological or normal using human expertise. The method also includes generating statistics representative of the saturation traces. A linear discriminator is composed having a non-linear transform that accepts the statistics as input and a pulse oximeter is programmed to compute the linear discriminator using a kernel function.
摘要:
Embodiments of the present invention relate to a system and method for detecting a blood characteristic in a patient. Embodiments of the present invention may comprise detecting a first modulating signal at a first wavelength, detecting a second modulating signal at a second wavelength, and determining a relative amplitude of the first and second modulating signals. Further, embodiments of the present invention may comprise regressing the first and second modulating signals relative to one another, wherein a first uncertainty value in the first modulating signal and a second uncertainty value in the second modulating signal are accommodated.