The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

An apparatus, comprising a processor and memory storing instructions that, when executed by the processor, cause the processor to: receive ventilator data obtained from continual mechanical ventilatory support of a patient over a period of time, analyze the ventilator data to identify a plurality of breathing cycles, classify the plurality of breathing cycles into normal breathing cycles and abnormal breathing cycles, using a machine learning algorithm, detect a change in the normal breathing cycles, compared to normal breathing cycles identified by the apparatus based on ventilator data obtained from continual mechanical ventilatory support of the patient over a previous period of time, and generate output indicative of the change in the normal breathing cycles.

A urinary catheter is described that can be retained inside the body for extended periods. A catheter mating device can connect to the catheter to move the catheter inside of the body or remove it from the body. The catheter includes one or more of: (1) a retention portion having an outer cover, an inner cavity, and at least one structure in the inner cavity that exerts outward force on the outer cover, and (2) an extendable flap at the catheter's distal end. The retention portion and/or extendable flap each are configured to retain the catheter in the proper position inside of a user's body.

Systems and methods for remotely monitoring hospital patients are provided. Medical devices may capture biometric data associated with a patient positioned in an ICU environment, and a remote display device positioned external to the ICU environment may display an indication of the health of the patient based on the captured biometric data. The indication of the health of the patient may include a graph mapping normalized health statuses associated with the patient over time. Each normalized health status may be based on normalizing a particular type of biometric data based on a medical protocol, so each data point of the graph includes an indication of a normalized health status associated with the patient at a given time. The indication of the health of the patient may include an animated three-dimensional that is dynamically updated to reflect biometric data associated with the patient captured at a time selected by a user.

Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptable ranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.

Systems and methods for monitoring and display of a hemodynamic status of a patient. Hemodynamic status may be monitored using, for example, a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and/or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.

An adapter for use with spectrometers for the analysis of gases, comprising a housing which comprises a base body, an accommodator for accommodation of a spectrometer, a housing entrance and a housing exit, the housing entrance comprising an inlet opening and the housing exit comprising an outlet opening, a passage channel being arranged between the inlet opening and the outlet opening, and the base body being arranged between the housing entrance and the housing exit. The base body has at least two openings which are arranged on two sides of the passage channel on opposite sides.

Various embodiments concern video patient monitoring with detection zones. Various embodiments can comprise a camera, a user interface, and a computing system. The computing system can be configured to perform various steps based on reception of a frame from the camera, including: calculate a background luminance of the frame; monitor for a luminance change of a zone as compared to one or more previous frames, the luminance change indicative of patient motion in the zone; and compare the background luminance to an aggregate background luminance, the aggregate background luminance based on the plurality of frames. If the background luminance changed by more than a predetermined amount, then the aggregate background luminance can be set to the background luminance, luminance information of the previous frames can be disregarded, and motion detection can be disregarded.

An electrode device for aEEG is disclosed. The electrode device includes a housing mounted on an adhesive element to adhere the electrode device to a skin surface of a patient; an electrode plate placed in the housing; and a wire connection for the electrode plate. The housing has a first protruding part that includes a conical-shaped hole for injecting and removing an electroconductive gel and that is disposed in the housing inclined outwardly at an angle between 50 degree and 80 degree with respect to the longitudinal direction of the skin surface. The housing also has a second protruding part that includes a hole for the introduction of the wire connection in order to be attached to the electrode plate. The second protruding part is disposed on the axis of the housing

Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptable ranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.