The present disclosure relates to a system and a method for automatically measuring and assessing hemodynamics in tissue of an anatomical structure of a subject. In particular the present disclosure relates to continuously measuring and assessing hemodynamics in medical procedures using fluorescence imaging and wherein the administration of the fluorescent agent is controlled and automated. One aspect relates to a method of automatic perfusion assessment of an anatomical structure of a subject, the method comprising administration into a vein of a bolus corresponding to less than 0.005 mg ICG/kg body weight of a first fluorescence imaging agent.

A method and system for continually monitoring oxygenation levels in real-time in compartments of an animal limb, such as in a human leg or a human thigh or a forearm, can be used to assist in the diagnosis of a compartment syndrome. The method and system can include one or more near infrared compartment sensors in which each sensor can be provided with a compartment alignment mechanism and a central scan depth marker so that each sensor may be precisely positioned over a compartment of a living organism. The method and system may comprise hardware or software (or both) may adjust one or more algorithms based on whether tissue being monitored was traumatized or is healthy. The method and system can also monitor the relationship between blood pressure and oxygenation levels and activate alarms based on predetermined conditions relating to the oxygenation levels or blood pressure or both.

A process and a signal processing unit determine a pneumatic parameter (P.sub.mus) for the spontaneous breathing of a patient. The patient is ventilated mechanically by a ventilator. A lung-mechanical model (20) and a gradient model (22) are preset. The lung-mechanical model (20) describes a relationship between the pneumatic parameter (P.sub.mus) as well as a volume flow signal (Vol), a volume signal (Vol) and/or a respiratory signal (Sig), which can be measured. The gradient model (22) describes a value for the pneumatic parameter (P.sub.mus) as a function of N chronologically earlier values of the pneumatic parameter (P.sub.mus) or of a variable correlating with the pneumatic parameter (P.sub.mus). N values for the correlating variable are determined at first. At least one additional value is subsequently determined for the pneumatic parameter (P.sub.mus). N chronologically earlier values of the correlating variable, current signal values, the lung-mechanical model (20) and the gradient model (22) are used for this purpose.

The present invention relates to a decision support system (DSS), a medical monitoring system (100), and a corresponding method for identifying the need for measurement of cardiac output (CO) based on one or more comparisons (COMP1, COMP2) in a physiological model. More specifically, for identifying when an approximated value of CO cannot be correct due to circulatory compromise and as such that another estimated or measured value of CO is required.

The invention relates to diagnosis in general and more specifically a system and a method for determining the presence of jaundice in newborn babies, also known as neonatal jaundice.

A main objective of the present invention is to provide a simple system and method for determining the presence of jaundice. Particularly since most deaths due to jaundice occur in low-income countries, there is a large unmet need of simple, reliable and affordable technologies able to identify at-risk newborn.

The objective is accomplished through receiving a depiction of skin from an RGB sensor, and then using either an optical diffusion model of the skin or Monte Carlo simulations to calculate the bilirubin concentration. A meta model of the optical diffusion model or Monte Carlo simulations can also be used. Colour calibration is also performed by e.g. thin-plate spline interpolation.

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.

The present disclosure relates to a system (1) for carbon dioxide [CO2] removal from the circulatory system of a patient (3), comprising a medical device (5) for providing extracorporeal lung assist [ECLA] treatment to the patient (3) through extracorporeal removal of CO2 from the patient's blood, at least one control unit (22A-22C) for controlling the operation of the medical device (5) so as to control a degree of CO2 removal obtained by the ECLA treatment, and a bioelectric sensor (7) for detecting a bioelectric signal indicative of the patient's efforts to breathe. The at least one control unit (22A-22C) is configured to control the operation of the medical device (5) based on the detected bioelectric signal.

A system for monitoring sepsis in a healthcare facility. The system calculates sepsis scores for a patient using physiological parameter data captured by one or more sensors. The system generates a sepsis score trend based on the sepsis scores, and generates a predicted sepsis trend based on the sepsis scores and a treatment administered to the patient. The system displays the predicted sepsis trend over the sepsis score trend. The system can further display a summary including a sepsis status and a treatment status for a plurality of patients in the healthcare facility.

A smart diaper sensor, which may be disposed inside a diaper, and may include a sensing element and a wireless RF circuit. The wireless RF circuit may include a transmitter and a wake-up receiver. The wake-up receiver may receive a wake-up signal transmitted from a backend platform to wake up the transmitter. The sensing element may sense the environmental status inside the diaper to generate a sensing signal. The transmitter may receive the sensing signal, and then transmit the sensing signal to the backend platform.

A gatekeeper electronic signal can be generated by a patient sensor and/or in an intermediate device, such as an electrical cable, that is separate from a patient's physiological information electronic signal. The gatekeeper signal can be generated to indicate to a computer monitor that the sensor and/or cable is of the type that is compatible with, and/or usable with, such computer monitor, and/or that the sensor and/or cable is properly attached to the computer monitor. The gatekeeper signal can be created by an ambient temperature sensor on, or in electrical communication with, the patient monitor, and/or the gatekeeper signal can be created by a gatekeeper electronic signal generator to simulate an ambient temperature value. The gatekeeper signal can be separate from an electronic signal or plurality of signals that include patient physiological information, and the gatekeeper signal may not include any patient physiological information.