Systems and methods for intravenous drug management using immittance spectroscopy
First Claim
1. A method of determining the identity of a drug or drug formulation by recognizing a pattern of complex immittance from a library of known complex immittances, the method comprising:
- receiving an initial dataset comprising complex immittance spectrographic information for an unknown liquid sample, the complex immittance spectrographic information taken from a plurality of different electrode pairs each at a plurality of different frequencies wherein each pair of electrodes had different surface properties arising from a different size, different shape, or different material relative to each other, and further wherein the complex immittance spectrographic information was recorded while the electrode pairs were in contact with the unknown liquid sample;
using a processor to apply one or more pattern recognition techniques to compare the initial dataset to an identification space database comprising a plurality of identification datasets wherein the identification datasets comprise complex immittance data corresponding to known drug compositions to determine if the initial dataset matches an identification dataset from the identification space database within a threshold range; and
reporting that the initial dataset does or does not match an identification dataset, and if the initial dataset does match an identification dataset within the threshold range, reporting which drug or drugs correspond to the identification dataset matched.
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Abstract
Described herein are devices, systems, and methods for determining the composition of liquids, including the identity of one or more drugs in the liquid, the concentration of the drug, and the type of diluent using immittance spectroscopy. These devices, systems and methods are particularly useful for describing the identity and, in some variations, concentration of one or more components of a medical liquid such as intravenous fluid. In particular, described herein are devices, systems and methods that may operate in low ionic strength diluents. Also described are methods of recognizing complex immittance spectrograph patterns to determine the composition of a liquid by pattern recognition.
101 Citations
19 Claims
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1. A method of determining the identity of a drug or drug formulation by recognizing a pattern of complex immittance from a library of known complex immittances, the method comprising:
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receiving an initial dataset comprising complex immittance spectrographic information for an unknown liquid sample, the complex immittance spectrographic information taken from a plurality of different electrode pairs each at a plurality of different frequencies wherein each pair of electrodes had different surface properties arising from a different size, different shape, or different material relative to each other, and further wherein the complex immittance spectrographic information was recorded while the electrode pairs were in contact with the unknown liquid sample; using a processor to apply one or more pattern recognition techniques to compare the initial dataset to an identification space database comprising a plurality of identification datasets wherein the identification datasets comprise complex immittance data corresponding to known drug compositions to determine if the initial dataset matches an identification dataset from the identification space database within a threshold range; and reporting that the initial dataset does or does not match an identification dataset, and if the initial dataset does match an identification dataset within the threshold range, reporting which drug or drugs correspond to the identification dataset matched. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of determining the identity of a drug or drug formulation by recognizing a pattern of complex immittance from a library of known complex immittances, the method comprising:
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receiving an initial dataset comprising multi-dimensional, complex immittance spectrographic information for an unknown liquid sample, the complex immittance spectrographic information taken from a plurality of different electrode pairs each at a plurality of different frequencies wherein each pair of electrodes had different surface properties arising from a different size, different shape, or different material relative to each other, and further wherein the complex immittance spectrographic information was recorded while the electrode pairs were in contact with the unknown liquid sample; reducing the dimensions of the initial dataset using a linear or non-linear technique to form a reduced dataset; determining how closely the reduced dataset matches an identification dataset of an identification space database, wherein the identification space database comprises a plurality of identification datasets corresponding to known drug compositions; and reporting that the known drug composition corresponding to the identification space database having the closest match to the reduced dataset if the closeness of the match is within a threshold range, or report that the unknown liquid sample does not match a known drug composition of those drugs included in the identification space database if the closeness of match is outside of the threshold range. - View Dependent Claims (16, 17, 18)
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19. A method of determining the identity and concentration of a drug by recognizing a pattern of complex immittance from a library of known complex immittances, the method comprising:
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receiving an initial dataset comprising multi-dimensional, complex immittance spectrographic information for an unknown liquid sample, the complex immittance spectrographic information taken from a plurality of different electrode pairs each at a plurality of different frequencies wherein each pair of electrodes had different surface properties arising from a different size, different shape, or different material relative to each other, and further wherein the complex immittance spectrographic information was recorded while the electrode pairs were in contact with the unknown liquid sample; reducing the dimensions of the initial dataset using a linear or non-linear technique to form a reduced dataset; matching the reduced dataset to an identification space database, the identification space database comprising a plurality of identification datasets corresponding to known drug compositions; determining the closeness of the match for the reduced dataset relative to each of the identification datasets; determining a proposed drug composition by applying a threshold to the closeness of the match for each of the identification datasets, wherein the proposed drug composition is unknown if the closeness of match is outside of the threshold range; and determining a concentration of drug in the unknown liquid sample by applying a regression of the proposed drug composition for the known drug composition.
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Specification