Abstract: A system for converting biologic particle density data into a motion image of at least one clinical condition such as sepsis, wherein the system comprises a processor programmed to detect a plurality of perturbations of the biologic particle densities associated with the clinical condition, detect or determine features of the perturbations, and detect or determine patterns of the perturbations. The processor can also be programmed to generate an image of the clinical condition comprised of time image components comprising a two dimensional user-facing map, wherein time extends along an axis away from the user facing map such that the map may be scrolled forward or backward over time to view different two dimensional images of the clinical condition.

Abstract: A patient safety search engine and alarm processor is programmed to repetitively search the electronic medical records of all patients in a hospital system to automatically provide early detection of patients with evolving pathophysiologic cascades, and in particular the cascades of evolving death, such as cascades of septic shock. The search engine also searches for a wide range of evolving pathophysiologic failures which are commonly fatal if detected too late. An alarm processor is provided which is programmed to provide an alarm upon the detection of a cascade or failure. The processor is further be programmed to provide an image of the cascade, and to determine, the severity of the cascade, and the time of onset of the cascade in relation to the timing and type of procedures and treatment and the increased cost associated with the cascade.

Abstract: The disclosed embodiments relate to pulse oximetry. An exemplary pulse oximeter comprises a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient, and a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of pattern types of SPO2 indicative of pathophysiologic events, and to produce an output indicative of a detected one of the plurality of pattern types.

Abstract: A system and method for data processing is disclosed. One example of a processor-based method comprises accessing data representative of a time series of at least one component of a timed waveform corresponding to a pulse, and searching the data for an occurrence of a cluster of variations induced by at least one of an apnea cluster and a hypopnea cluster. An exemplary system comprises a memory device adapted to access data representative of a time series of at least one component of a timed waveform corresponding to a pulse, and a processor adapted to search the data for an occurrence of a cluster of variations induced by at least one of an apnea cluster and a hypopnea cluster.

Abstract: A processor-based system for analyzing physiologic data and medical care is provided wherein the patient data is analyzed to construct images that are representative of a patient's condition. The processor provides a self-modulating analysis, which is responsive to the occurrence of additional data items to increase the information contained in the images. Identifications of modes of physiologic failure by the analysis of the generated images provides for earlier recognition and intervention and improved protocolization of testing and treatment.

Abstract: The disclosed embodiments relate to pulse oximetry. An exemplary pulse oximeter comprises a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient, and a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of pattern types of SPO2 indicative of pathophysiologic events, and to produce an output indicative of a detected one of the plurality of pattern types.

Abstract: A system and method for the automatic diagnosis of obstructive sleep apnea in a centralized hospital critical care monitoring system for the monitoring of a plurality of patients in at least one of a critical care, step down, and cardiac ward by telemetry. The system includes a central processor having a display, and a plurality of telemetry units for mounting with patients, each of the telemetry units has a plurality of sensors for connection with each patient, the telemetry unit is capable of the transmission of multiple signals derived from the sensors to the central processor, in one preferred embodiment the method comprising steps of programming the system to analyze the signals and to automatically identify the presence and severity of obstructive sleep apnea and to provide an indication of the identification.

Abstract: A medical diagnostic system for quantifying at least one perturbation of a concentration of at least one constituent of blood of a patient over time is described herein. In some examples, the system includes a processor programmed to analyze data comprising the concentration, the concentration having a reference range and define a range of perturbed concentration values which is outside the reference range. The processor can also be programmed to divide the range of perturbed concentration values into sequential sub-ranges comprising at least a first sub-range of concentration values and a second sub-range of concentration values, the second sub-range being further away from the reference range than the first sub-range and assign quanta to each sub-range such that the number of quanta assigned to a sub range far away from the reference range is greater than the number of quanta assigned to a sub-range close to the reference range.

Abstract: A relational time pattern based real-time sepsis detection and tracking system is disclosed. The system comprises a processor programmed to receive an input of multiple data streams over time comprising a plurality of sequential physiologic and laboratory values, analyze the relational time patterns of the data streams, and output a warning of a possible sepsis condition based on the analysis. The processor may be programmed to generate a time matrix of the data and further an animated three dimensional matrix of sepsis which changes shape in relation to the severity of sepsis.

Abstract: A patient monitoring system comprising at least one processor programmed to generate a force binary comprised of at least a first object comprising a force, wherein the force comprises a biologic particle density or a biologic particle density perturbation. In some examples, the force binary also comprises a second object comprised of at least one biologic particle density perturbation induced by the force. In some embodiments, the at least one processor can also generate a plurality of force binaries, link the force binaries to each other to generate a force cascade comprised of linked force binaries, and identify the force cascade.

Abstract: A patient monitoring system is disclosed comprising at least one processor programmed to process medical data derived from a patient or medical records repository and to compose interconnected cascades of physiological occurrences by linking or grouping four fundamental elements which comprise; a perturbation, at least one perturbation force which is capable of inducing and may have induced the perturbation, a recovery, and at least one recovery force which is capable of inducing and may have induced the perturbation. The four elements are linked or grouped by the processor to generate a quaternary which may be characterized as solved or unsolved.

Abstract: A processing method is disclosed for projecting one or more biologic particle density paths and for defining at least one retesting time for a specific biologic particle density of a patient. The processor is programmed to process laboratory data from the patient or from a data repository. The processor identifies a pattern of a plurality of biologic particle densities and based on at least the pattern identifies a medical condition and calculates a potential worst case pattern or trajectory of the laboratory test value over time based on the pattern and/or the identified medical condition. The system may calculate or identify the retesting time based on at least the minimum change of the parameter which would have actionable clinical relevance.

Abstract: A medical device comprises a processor programmed to detect and analyze perturbations of biologic particle densities and convert a set of features of the perturbations into a discreet set of quanta in relation to a phenotypic, baseline or expected range of the perturbation features. The processor is also programmed to convert at least a second set of features from a second perturbation into a second discreet set of quanta and to compare the first set of set of quanta with the second set of quanta and to render motion images of the perturbations and quanta. The quanta may be defined at least in part by the pattern of perturbations or a clinical condition.

Abstract: A patient monitoring system detects perturbations and detects or determines features of the perturbations and generates image cells responsive to the perturbations, organelles within the cells responsive to the features, and clinical regions responsive to the cells, and visualizations responsive to the clinical regions. The system also generates time-lapsable motion images comprising the cells which change over time in response to changes in the features or the detection of new perturbations. The system may convert the features into quanta defined at least in part by the clinical condition and may generate image components, such as pixels or groups of pixels, responsive to the quanta. Motion images may be generated from the image components.

Abstract: A system for presenting data to an image recognition system is described herein, wherein the system comprises at least one processor programmed to receive time specific medical data comprising a plurality of lab values, particle concentrations, and/or physical measurements of blood of a patient collected at a series of points in time and convert the biologic particle densities into image components, images or sequences of images. The processor is programmed to generate the image components, images or sequences of images on a map or display and to present the map or display to an image recognition system.

Abstract: A patient monitoring system for generating dynamic relational visualizations of at least one clinical condition comprising a processor programmed to detect a plurality of perturbations of biologic particle densities associated with the clinical condition and to detect features of the perturbations and to generate cells of images responsive to the features. The system generates at least one motion image comprising the cells. New cells and the cells change, for example in color or position in response to changes in a medical condition.

Abstract: A system for converting biologic particle density data into a motion image of at least one clinical condition such as sepsis, wherein the system comprises a processor programmed to detect a plurality of perturbations of the biologic particle densities associated with the clinical condition, detect or determine features of the perturbations, and detect or determine patterns of the perturbations. The processor can also be programmed to generate an image of the clinical condition comprised of time image components comprising a two dimensional user-facing map, wherein time extends along an axis away from the user facing map such that the map may be scrolled forward or backward over time to view different two dimensional images of the clinical condition.

Abstract: A patient monitoring system is described herein. In one example, the patient monitoring system comprises at least one processor programmed to generate an image which displays a patient condition as color weather radar on a map. In some examples, at least one monitored condition is positioned on the map so that the weather image expands, develops or moves over the condition.

Abstract: A medical alarm system for processing medical time-series data of multiple physiologic signals in hospitals and other environments is disclosed. The alarm system generates physiologic animations in real-time. The physiologic animations are shaped as a schematic of the physiologic system being monitored. The physiologic system is comprised of multiple components corresponding to organs. The physiologic animation and organs move over time in response to the physiologic signals.

Abstract: The disclosed embodiments relate to a system and method for analyzing data. An exemplary method comprises the acts of receiving data corresponding to at least one time series, and computing a plurality of sequential instability index values of the data. An exemplary system comprises a source of data indicative of at least one time series of data, and a processor that is adapted to compute at least one of a plurality of sequential instability index values of the data.