Abstract: Provided are a system and method for predicting risk of diagnosis for Autism Spectrum Disorder (ASD) using neonatal analytics. Such analytics assess heart rate pattern data for a given period of admission in a Neonatal Intensive Care Unit to determine correlation with heart rate characteristics indicative of ASD. Relative to a finding of one or more correlations, such analytics offer the opportunity for earliest screening and intervention for ASD, as appropriate.

Abstract: A system for classifying cardiac rhythms is disclosed. The system includes one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include first program instructions times between heartbeats. The program instructions further comprise second program instructions to segment the time series into a plurality of segments. The program instructions further comprise third program instructions to calculate a plurality of parameters corresponding to each of the 30-second segments. The program instructions further comprise fourth program instructions to analyze the obtained data and the calculated parameters using a plurality of multivariable algorithms for rhythm classification.

Abstract: A system for classifying cardiac rhythms is disclosed. The system includes one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include first program instructions to obtain data representative of a time series of the times between heartbeats. The program instructions further comprise second program instructions to segment the time series into a plurality of segments. The program instructions further comprise third program instructions to calculate a plurality of parameters corresponding to each of the 30-second segments. The program instructions further comprise fourth program instructions to analyze the obtained data and the calculated parameters using a plurality of multivariable algorithms for rhythm classification.

Abstract: A method and system for generating pulse oximetry predictive scores for predicting adverse outcomes in preterm infants.

Abstract: A method and system for generating pulse oximetry predictive scores for predicting adverse outcomes in preterm infants.

Abstract: A method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. An optimal determination of segments of data is provided that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided.

Abstract: A method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. An optimal determination of segments of data is provided that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided.

Abstract: A method, system, and computer program product for producing an organism specific diagnosis of septicemia in infants is disclosed. The method involves measuring the levels of one or more biomarkers against predefined threshold values and interpreting these levels to arrive at the diagnosis. Other techniques may introduce a preliminary step of identifying higher risk subjects, as well as the integration of such methods into the final diagnostic methodology. One aspect of a technique of this method may involve measuring one more cytokines to detect specific classes of infective organisms, such as Gram-negative bacteria.

Abstract: A method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. An optimal determination of segments of data is provided that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided.

Abstract: A method and system for generating pulse oximetry predictive scores for predicting adverse outcomes in preterm infants.

Abstract: A method of determining health and mortality includes obtaining a ventricular activation (RR) time series from a subject for multiple temporal intervals. The method also includes calculating a cardiac entropy in the RR time series over the temporal intervals using coefficient of sample entropy (COSEn). Additionally, the method includes comparing the cardiac entropy between the intervals to determine health and mortality. The absolute and relative changes in entropy over a patient's follow up period provide dynamic information regarding health and mortality risk. The determination of health and mortality can then be used to create a treatment plan for the subject.

Abstract: Illness signatures are mathematically characterized by entrainment relationships among multiple time series representations of physiological processes. Such characteristics include time and phase lags, window lengths for optimum detection, which time series are most entrained with each other, the degree of entrainment relative to the rest of the large database, and the concordance or discordance of the time-varying changes. These optimum disease-specific characteristics can be determined, for example, from large, clinically well-annotated databases of time series representations of physiological processes during health and illness. These characteristics of the entrainment relationships among multiple time series representations of physiological processes are used to make mathematical and statistical predictive models using multivariable techniques such as, but not limited to, logistic regression, nearest-neighbor techniques, neural and Bayesian networks, principal and other component analysis, and others.

Abstract: A method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. An optimal determination of segments of data is provided that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided.

Abstract: A method of determining health and mortality includes obtaining a ventricular activation (RR) time series from a subject for multiple temporal intervals. The method also includes calculating a cardiac entropy in the RR time series over the temporal intervals using coefficient of sample entropy (COSEn). Additionally, the method includes comparing the cardiac entropy between the intervals to determine health and mortality. The absolute and relative changes in entropy over a patient's follow up period provide dynamic information regarding health and mortality risk. The determination of health and mortality can then be used to create a treatment plan for the subject.

Abstract: The invention relates to a method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. The invention provides an optimal determination of segments of data that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided.

Abstract: A method for analysis of cardiac rhythms and the clinical status of a patient, based on calculations of entropy and moments of time series intervals. An optimal determination is made of segments of data that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each interval segments with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated, providing dynamic information of fundamental importance in diagnosis and analysis.

Abstract: Method, system, and computer program method for detecting pathological fluctuations of physiological signals to diagnose human illness. The method comprises performing a sliding window analysis to find sequences in physiological signal data that match amplitude- and duration-adjusted versions of a template function to within a specified tolerance.

Abstract: A method for analysis of cardiac rhythm and RR interval time series based on entropy related data and entropy based measures. The information is related to but distinct from entropy, and is derived from histograms of interval match counts in which the y-axis is the frequency of intervals of length in that have the match count given on the x-axis. The phenotype of the histogram informs on the presence of atrial fibrillation or, in the presence of sinus rhythm, the degree of congestive heart failure.

Abstract: A method, system, and computer program product for producing an organism specific diagnosis of septicemia in infants is disclosed. The method involves measuring the levels of one or more biomarkers against redefined threshold values and interpreting these levels to arrive at the diagnosis. Other techniques may introduce a preliminary step of identifying higher risk subjects, as well as the integration of such methods into the final diagnostic methodology. One aspect of a technique of this method may involve measuring one more cytokines to detect specific classes of infective organisms, such as Gram-negative bacteria.

Abstract: A method for analysis of cardiac rhythms and the clinical status of a patient, based on calculations of entropy and moments of time series intervals. An optimal determination is made of segments of data that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each interval segments with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated, providing dynamic information of fundamental importance in diagnosis and analysis.