A method of detecting stroke in a patient receiving a pressure support therapy includes: receiving data from one or more sensors structured to gather data related to patient respiration while receiving pressure support therapy from an airflow generator via a patient circuit; analyzing the data from the one or more sensors while pressure support therapy is provided to the patient; determining that the analyzed data from the one or more sensors is indicative of a patient experiencing respiratory changes indicative of a stroke; and responsive to said determining, triggering at least one alarm.

Methods and systems for assessing a health state of a person via eye movement-driven biometric systems are provided. Examples of the health states that it would be possible to detect with such a system are but not limited to brain injuries (e.g., concussions), dementia, Parkinson's disease, post-traumatic stress syndrome, schizophrenia, fatigue, cybersickness, autism, Bipolar Disorder and other health conditions that manifest themselves in abnormal behavior of the human visual system. Described methods and systems can also detect influence of alcohol and/or drugs. The system extracts biometric template of a person by deriving features from the captured eye movement signal. The system may compare the difference between previous healthy state of a tested person and newly captured template or an averaged biometric template created from the records of multiple healthy people state of multiple people and a newly captured template from a person who needs to be tested. Based on the difference between the templates, a decision of a health state of a person is made. Described methods and systems may work on any device that has eye tracking capabilities including but not limited to desktop mounted eye tracking systems, head mounted eye tracking systems such as Virtual Reality and Augmented Reality or stand-alone mounted eye tracking systems.

A method for dynamically displaying a change of a parameter measured at an interval comprises: dynamically monitoring at least one type of hemodynamic parameters of a patient by means of a sensor on a monitor; obtaining a first monitoring value of the type of hemodynamic parameters monitored at a first monitoring time; displaying a first form corresponding to the first monitoring value in a simulated graph corresponding to each type of the hemodynamic parameters on a graphic display interface; obtaining a second monitoring value of the type of hemodynamic parameters monitored at a second monitoring time, and determining a second form of the corresponding simulated graph; and adjusting the simulated graph corresponding to each type of hemodynamic parameter from the first form to the second form on the graphic display interface. Also provided are a corresponding system and a dynamic monitor.

The present disclosure relates to methods and systems for estimating an efficiency of lungs of a patient receiving respiratory care. A blender has a primary input port for receiving a first gas to be delivered to the patient and one or more secondary input ports for receiving a second gas to be delivered to the patient from one or more gas sources. A patient-side port of the blender delivers the first and second gases to the patient. A gas composition sensor measures a fraction of the first gas and a gas flow sensor measures a flow of the first gas. A controller causes a sequential delivery of the first and second gases to the patient and estimates a functional residual capacity of the patient based on measurements from the gas composition sensor and from the gas flow sensor. The controller may also estimate a cardiac output of the patient.

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. Another aspect relates to a system for automatic perfusion assessment of an anatomical structure during a medical procedure of a subject comprising a controllable injection pump for holding at least one first fluorescence imaging agent, the injection pump being configured for injecting a predefined amount of said first fluorescence imaging agent into the blood of the subject, wherein the system is configured for receiving and analysing a time series of fluorescence images of the tissue of said anatomical structure following the injection of the first fluorescence imaging agent, and determining at least one perfusion parameter of said anatomical structure based on said analysis.

A method for collecting and analyzing urine at the time it is released uses a urine collecting tube joined with a canister. Suction is produced in the collecting tube to join the tube with a penis or to the exterior surface of a female urethra orifice. Once suction is achieved the collecting tube stays in place by suction action. When urine flows into the urine collecting tube a sensor triggers a vacuum pump to produce a higher level of suction to flush the urine into the canister where a level sensor determines the quantity of urine received. Various sensors in the canister determine levels of non-urine partials such as occult blood, drugs, salt, and other substances. When urine is no longer detected within the urine tube, the vacuum pump is turned off and a low-level vacuum remains to assure interconnection with the urine tube.

Methods and apparatus disclosed herein relate to graphical representation of change in patient state. In various embodiments, one or more measured physiological parameters of a patient may be analyzed, which includes determining a rate of change in one or more of the measured physiological parameters over time. Based on the analysis, a graphical user interface (GUI) may be rendered. The graphical user interface may include a comet-shaped graphical element that conveys the rate of change in the one or more of the physiological parameters over time. For example, the comet-shaped graphical element may include a tail that is sized or shaped to convey the direction and the rate of change.

Various embodiments described herein relate to methods and apparatus for robust classification. Many real-world datasets suffer from missing or incomplete data. By assigning weights to certain features of a dataset based on which feature(s) are missing or incomplete, embodiments of the prevention can provide robustness and resilience to missing data.

There is provided a restraint management apparatus. The restraint management apparatus comprises a processing unit arranged to: receive one or more types of sensor data; determine a status of a subject based on the received sensor data; determine, based on the determined subject status, a restraint parameter for a restraint device configured to restrain a body part of the subject; and output a signal based on the determined restraint parameter.

A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal, a regional oxygen saturation signal, and a blood volume signal from a patient. The method also includes determining a first linear correlation between the blood pressure signal and the regional oxygen saturation signal and determining a second linear correlation between the blood pressure signal and the blood volume signal. The method also includes determining a confidence level associated with the first linear correlation based at least in part on the second linear correlation and providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation and the confidence level.