The device described in this document provides a method for easily converting a urinary catheter to one that will monitor pressure changes in the anchoring balloon allowing safe deflation if a patient intentionally or unintentionally pulls on the catheter with such force that would otherwise cause traumatic injury to the urethra. The device would sound an alarm in such cases of forced removal. The device would secondarily allow monitoring of insertion date, and intraabdominal pressures among other things due to the electronic storage, display, and communication capabilities.

Disclosed herein are a method and a medical system for utilizing of an intravascular ECG signal for central venous catheter placement. The medical system is capable of detecting the position of a catheter tip and assessing its location relative to the cavoatrial junction. The detection and assessment are performed by a multiscale analysis of the complexity of the intravascular signal data points.

Respiratory variables are estimated on a per-breath basis from airway pressure and flow data acquired by airway pressure and flow sensors (20, 22). A breath detector (28) detects a breath interval. A per-breath respiratory variables estimator (30) fits the airway pressure and flow data over the detected breath interval to an equation of motion of the lungs relating airway pressure, airway flow, and a single-breath parameterized respiratory muscle pressure profile (40, 42) to generate optimized parameter values for the single-breath parameterized respiratory muscle pressure profile. Respiratory muscle pressure is estimated as a function of time over the detected breath interval as the single-breath parameterized respiratory muscle pressure profile with the optimized parameter values, and may for example be displayed as a trend line on a display device (26, 36) or integrated (32) to generate Work of Breathing (WoB) for use in adjusting settings of a ventilator (10).

A patient monitoring device includes at least one physiological sensor (32) configured to acquire at least one measured value for a patient of at least one monitored physiological variable. A cardiovascular (CV), pulmonary, or cardiopulmonary (CP) modeling component (42) includes a microprocessor pro-programmed to: receive the measured values of the at least one monitored physiological variable; receive a value for at least one patient-specific medical image parameter generated from at least one medical image of the patient; compute values for the patient of unmonitored physiological variables based on the measured values for the patient of the monitored physiological variables and the patient-specific medical image parameter; and at least one of (1) display the computed values and (2) control a therapy device delivering therapy to the patient based on the computed values.

A medical monitoring system includes: one or more signal sampling devices to detect parameter data corresponding to at least one physiological parameter; memory to store the parameter data corresponding to the at least one physiological parameter; a display to display parameter data obtained by at least one sensor; and a processor to obtain, according to the parameter data, abnormal event indications having a plurality of different attributes and transmit the abnormal event indications to the display; wherein the abnormal event indications are shown as anomalies identifiers on a timeline.

The present disclosure relates to methods and devices for providing parameters that indicate a higher likelihood of a postoperative delirium occurring. According to an aspect of the present disclosure, the following steps are provided: detecting at least one EEG signal at the head of the patient; determining the average amplitude of the direct current EEG signal; checking whether an increase in the determined average amplitude when entering anesthetic-induced loss of consciousness is above a predefined amount, and in the event of this, providing a corresponding information in the form of a parameter that shows a higher likelihood of a postoperative delirium occurring.

The present disclosure provides a system and method for monitoring the cognitive state of a patient based on eye image data. The patient monitoring system including a camera unit configured for recording images of an eye of the patient, and a data processing sub-system in data communication with the camera and being operable to (i) receive and process eye image data from said camera, (ii) classify said eye image data into gestures and identify such gestures indicative of the cognitive state of the patient, and (iii) transmit a signal communicating said cognitive state to a remote unit. The system may further include an actuator module and an output unit wherein said output may be an automated medical questionnaire.

Systems and methods for artificial intelligence enable control of hemodynamics in an individual are provided. A number of embodiments use a phenotypic response surface (PRS) that describes a physiological response to a vasopressor and/or a vasodilator to guide administration of the vasopressor and/or vasodilator. Additional embodiments determine an individualized response to but not limited to a vasopressor and/or vasodilator based on the change in pressure to a dose based on a population-based average. Some embodiments continually update the PRS and/or individualized sensitivity based on changes in physiological response to the vasopressor and/or vasodilator.

An asset tracking system includes a camera adapted to capture images and output signals representative of the images. The camera may include one or more depth sensors that detect distances between the depth sensor and objects positioned within the field of view of the one or more cameras. A computer device processes the image signals and or depth signals from cameras and determines any one or more of the following: (a) whether a patient care protocol has been properly followed; (b) what condition a patient is in; (c) whether an infection control protocol has been properly followed; and (d) whether steps have been taken to reduce the risk of a patient from falling. Alerts may be issued if any conditions of importance are detected.

There are provided systems and methods for performing mean arterial pressure (MAP) derived prediction of future hypotension. Such a system includes a hardware unit including a hardware processor and a system memory, a hypotension prediction software code stored in the system memory, and a sensory alarm. The hardware processor is configured to execute the hypotension prediction software code to receive MAP data of the living subject, and to transform the MAP data to one or more parameters predictive of a future hypotension event of the living subject. The hardware processor is further configured to execute the hypotension prediction software code to determine a risk score of the living subject corresponding to the probability of the future hypotension event based on at least some of the one or more parameters, and to invoke the sensory alarm if the risk score of the living subject satisfies a predetermined risk criteria.