Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of fluid resuscitation of a patient and/or an amount of fluid needed for effective resuscitation of the patient, in some cases, noninvasively.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patent is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding before, during, and after fluid resuscitation, in some instances, in real-time.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patent is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding before, during, and after fluid resuscitation, in some instances, in real-time.

Abstract: Tools and techniques for estimating a probability that a patient is bleeding or has sustained intravascular volume loss (e.g., due to hemodialysis or dehydration) and/or to estimate a patient’s current hemodynamic reserve index, track the patient’s hemodynamic reserve index over time, and/or predict a patient’s hemodynamic reserve index in the future. Tools and techniques for estimating and/or predicting a patient’s dehydration state. Tools and techniques for controlling a hemodialysis machine based on the patient’s estimated and/or predicted hemodynamic reserve index.

Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of fluid resuscitation of a patient and/or an amount of fluid needed for effective resuscitation of the patient, in some cases, noninvasively.

Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of hydration of a patient and/or an amount of fluid needed for effective hydration of the patient, in some cases, noninvasively.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a physiological state of a patient, based on variance of the patient's compensatory reserve index (“CRI”) before, during, and/or after a physical perturbation. In some embodiments, the system might receive a first set of physiological data from one or more sensors at a first time relative to a physical perturbation of the patient, and might calculate a first set of CRI values of the patient. The system might receive a second set of physiological data at a second time relative to the physical perturbation, calculate a second set of CRI values, analyze the two sets of CRI values against a pre-existing model, estimate a physiological state (e.g., hydration, etc.) of the patient, and display the estimate on a display device. The system might also control an infusion device to infuse fluids into the patient based on estimated hydration state.

Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of fluid resuscitation of a patient and/or an amount of fluid needed for effective resuscitation of the patient, in some cases, noninvasively.

Abstract: Tools and techniques for estimating a probability that a patient is bleeding or has sustained intravascular volume loss (e.g., due to hemodialysis or dehydration) and/or to estimate a patient's current hemodynamic reserve index, track the patient's hemodynamic reserve index over time, and/or predict a patient's hemodynamic reserve index in the future. Tools and techniques for estimating and/or predicting a patient's dehydration state. Tools and techniques for controlling a hemodialysis machine based on the patient's estimated and/or predicted hemodynamic reserve index.

Abstract: Tools and techniques for estimating and/or predicting a patient's current and/or future blood pressure. In some cases, the tools will analyze physiological data captured from the patient against a model of blood pressure values to estimate/predict the patient's blood pressure value. In particular cases, derived parameters, such as a patient's compensatory reserve index (“CRI”) can be analyzed against such models, while in other cases, data captured from sensors can be directly analyzed against such models.

Abstract: Technology is provided for optical dermatome depth gauges. The optical dermatome depth gauge includes a frame and an adjustment mechanism mounted on the frame and including a bore-sight adjustment axis and a height adjustment axis orthogonal to the bore-sight adjustment axis. A dermatome holder is mounted to the adjustment mechanism. A microscope having a microscope axis is mounted to the frame, wherein the microscope axis is parallel to the bore-sight adjustment axis.

Abstract: Tools and techniques for estimating a probability that a patient is bleeding or has sustained intravascular volume loss (e.g., due to hemodialysis or dehydration) and/or to estimate a patient's current hemodynamic reserve index, track the patient's hemodynamic reserve index over time, and/or predict a patient's hemodynamic reserve index in the future. Tools and techniques for estimating and/or predicting a patient's dehydration state. Tools and techniques for controlling a hemodialysis machine based on the patient's estimated and/or predicted hemodynamic reserve index.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a physiological state of a patient, based on variance of the patient's compensatory reserve index (“CRI”) before, during, and/or after a physical perturbation. In some embodiments, the system might receive a first set of physiological data from one or more sensors at a first time relative to a physical perturbation of the patient, and might calculate a first set of CRI values of the patient. The system might receive a second set of physiological data at a second time relative to the physical perturbation, calculate a second set of CRI values, analyze the two sets of CRI values against a pre-existing model, estimate a physiological state (e.g., hydration, etc.) of the patient, and display the estimate on a display device. The system might also control an infusion device to infuse fluids into the patient based on estimated hydration state.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patent is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding before, during, and after fluid resuscitation, in some instances, in real-time.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or effectiveness of cardiopulmonary resuscitation (“CPR”), in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid estimation of a patient's compensatory reserve index (“CRI”) before, during, and after CPR is performed, and using the CRI and variations in CRI values to determine, in some instances, in real-time, the effectiveness of CPR that is performed.

Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of fluid resuscitation of a patient and/or an amount of fluid needed for effective resuscitation of the patient, in some cases, noninvasively.

Abstract: Novel tools and techniques for assessing, predicting and/or estimating effectiveness of hydration of a patient and/or an amount of fluid needed for effective hydration of the patient, in some cases, noninvasively.

Abstract: Tools and techniques for estimating and/or predicting a patient's current and/or future blood pressure. In some cases, the tools will analyze physiological data captured from the patient against a model of blood pressure values to estimate/predict the patient's blood pressure value. In particular cases, derived parameters, such as a patient's compensatory reserve index (“CRI”) can be analyzed against such models, while in other cases, data captured from sensors can be directly analyzed against such models.