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 physiological monitoring. A method includes receiving, with a computing system, physiological data of a user, analyzing, with the computing system, the received physiological data of the user to identify at least one of one or more body states or one or more transitions between body states of the user, and determining, with the computing system, at least one physiological state of the user, based at least in part on an analysis of the identified at least one of the one or more body states or the one or more transitions between body states of the user. The method further includes sending, with the computing system and to a user device, the determined at least one physiological state of the user, and displaying, on a display screen of the user device, the determined at least one physiological state of the user.

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: 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: Novel tools and techniques are provided for ear-based physiological data monitoring. A method includes monitoring, with one or more first sensors disposed in a sensor device that is positioned at least partially within an ear canal of a user, physiological data of the user, and sending, with the one or more first sensors and to a computing system, data regarding the monitored physiological data of the user as obtained from within the ear canal of the user. The method further includes analyzing, with the computing system, the received data regarding the monitored physiological data of the user as obtained from within the ear canal of the user, and determining, with the computing system, at least one physiological state of the user, based at least in part on the analysis of the data regarding the monitored physiological data of the user as obtained from within the ear canal of the user.

Abstract: Novel tools and techniques are provided for physiological monitoring. A method includes receiving, with a computing system, physiological data of a user, analyzing, with the computing system, the received physiological data of the user to identify at least one of one or more body states or one or more transitions between body states of the user, and determining, with the computing system, at least one physiological state of the user, based at least in part on an analysis of the identified at least one of the one or more body states or the one or more transitions between body states of the user. The method further includes sending, with the computing system and to a user device, the determined at least one physiological state of the user, and displaying, on a display screen of the user device, the determined at least one physiological state of the user.

Abstract: Tools and techniques for the rapid, continuous, invasive and/or noninvasive measurement, estimation, and/or prediction of a patient's physiological state. In an aspect, some tools and techniques can estimate predict the onset of conditions intracranial pressure, an amount of blood volume loss, cardiovascular collapse, and/or dehydration. Some tools can recommend (and, in some cases, administer) a therapeutic treatment for the patient's condition. In another aspect, some techniques employ high speed software technology that enables active, long term learning from extremely large, continually changing datasets. In some cases, this technology utilizes feature extraction, state-of-the-art machine learning and/or statistical methods to autonomously build and apply relevant models 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 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: 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 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: Methods and systems are disclosed for autonomously building a predictive model of outcomes. A most-predictive set of signals Sk is identified out of a set of signals s1, s2, . . . , sD for each of one or more outcomes ok. A set of probabilistic predictive models ôk=Mk(Sk) is autonomously learned, where ôk is a prediction of outcome ok derived from the model Mk that uses as inputs values obtained from the set of signals Sk. The step of autonomously learning is repeated incrementally from data that contains examples of values of signals s1, s2, . . . , sD and corresponding outcomes o1, o2, . . . , oK. Various embodiments are also disclosed that apply predictive models to various physiological events and to autonomous robotic navigation.

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.