SYSTEMS AND METHODS FOR CHARACTERISTIC PARAMETER ESTIMATION OF GASTRIC IMPEDANCE SPECTRA IN HUMANS
First Claim
1. A system configured to determine characteristic parameter estimations of gastric impedance spectra comprising:
- one or more monitoring device configured to measure at least one physiological parameter of a subject;
a memory including at least one physiological data profile with one or more electrical characteristic relating to a physical condition; and
a processor in communication with the monitoring device, wherein said processor;
receives the physiological parameter,transforms the physiological parameter using a Cole model to one or more characteristic electrical value, andcompares said characteristic electrical value with the physiological data profile to determine whether the subject has the physical condition.
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Abstract
Impedance spectroscopy has been proposed as a method of monitoring mucosal injury due to hypoperfusion and ischemia in the critically ill. The invention includes an algorithm developed to calculate the characteristic electrical values that best describe human gastric impedance measurements and simplify the information obtained with this method. A database of gastric spectra was obtained from healthy volunteers, cardiovascular surgery and critically ill patients. The gastric spectrum forms two semi circles in the complex domain, divided into low frequency (F<10 kHz) and high frequency (F>10 kHz). A fitting algorithm was developed based on the Cole model, and central characteristic parameters were calculated. The parameters were validated using the normalized mean squared error and 0.7% of the spectra were discarded. From the experimental data obtained in humans, the greatest changes observed as the gastric mucosa becomes ischemic occur at low frequencies, which are specific and sensitive to tissue damage, and vary with the degree of hypoperfusion.
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Citations
23 Claims
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1. A system configured to determine characteristic parameter estimations of gastric impedance spectra comprising:
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one or more monitoring device configured to measure at least one physiological parameter of a subject; a memory including at least one physiological data profile with one or more electrical characteristic relating to a physical condition; and a processor in communication with the monitoring device, wherein said processor; receives the physiological parameter, transforms the physiological parameter using a Cole model to one or more characteristic electrical value, and compares said characteristic electrical value with the physiological data profile to determine whether the subject has the physical condition. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for determining characteristic parameter estimation of gastric impedance spectra comprising:
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receiving, at a processor, a first number of electrical measurements from a monitoring device configured to collect the electrical measurements from a tissue of a subject; transforming, at the processor, the electrical measurements based on a model to a reduced number of characteristic parameters; comparing the characteristic parameters with one or more profiles based on data representing gastric mucosa under different conditions. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A tangible computer usable medium having a computer readable program code embedded therein, said computer readable program code adapted to be executed to implement a method for determining characteristic parameter estimation of gastric impedance spectra, the method comprising:
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receiving a plurality of electrical measurements from a monitoring device configured to collect the electrical measurements from a tissue of a subject, wherein said electrical measurements include a tissue signal and a reference signal; obtaining a phase value from for a tissue signal and reference signal pair; obtaining an amplitude value for the tissue signal and reference signal pair; calculating a resistance value and a reactance value from the phase value and the amplitude value. - View Dependent Claims (19, 20, 21, 22, 23)
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Specification