Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

A mechanical ventilator (10) is connected with a ventilated patient (12) to provide ventilation in accordance with ventilator settings of the mechanical ventilator. Physiological values (variables) are acquired for the ventilated patient using physiological sensors (32). A ventilated patient cardiopulmonary (CP) model (40) is fitted to the acquired physiological variables values to generate a fitted ventilated patient CP model by fine-tuning its parameters (50). Updated ventilator settings are determined by adjusting model ventilator settings of the fitted ventilated patient CP model to minimize a cost function (60). The updated ventilator settings may be displayed on a display component (22) as recommended ventilator settings for the ventilated patient, or the ventilator settings of the mechanical ventilator may be automatically changed to the updated ventilator settings so as to automatically control the mechanical ventilator.

A signal processing circuit for controlling operation of an implanted ventricular assist device comprising an input module for receiving one or more signals of a patient from one or more sensors. A processor for processing the received signals is included, the processor configured to compare a total blood output on a left side of the patient's heart with a total blood output on a right side of the patient's heart; determine at least one from the group consisting of the presence of fluid imbalance between the left and right sides of the patient's heart and the absence of fluid imbalance between the left and right sides of the patient's heart based on the comparison; and when the presence of fluid imbalance is determined, control the implanted ventricular device to restore fluid balance between the left and right sides of the patient's heart.

A system and method to configure a rule set used in connection with a medical monitoring system for monitoring patients and patient care equipment, especially medication delivery pumps, based on a variety of conditions and parameters associated with monitored biometric information and equipment information and for providing user-defined responses to those conditions and parameters.

An intelligent bioelectric module for use with a drug delivery system has a case and a set of at least two electrodes in electrical communication with a detection surface of the case. The case is configured so that, in use, the detection surface comes into electrical communication with (i) a second surface of the delivery system when a first surface of the delivery system has been put into contact with a tissue surface of a human or animal subject or (ii) the tissue surface that is adjacent to a portion contacted by the first surface of the delivery system or (iii) both the second surface and the tissue surface.

A control circuit for a sensorless implantable blood pump configured to determine mitral valve regurgitation includes processing circuitry configured to generate an estimated blood flow waveform from the sensorless implanted blood pump and generate an alert if between an end period of diastole and a beginning period of systole a measured amplitude of the estimated blood flow waveform does not include an inflection point.

A system for mental health clinical application includes a virtual reality (VR) headset, a physiological sensor device and a computer device. The computer device is used to perform an illness test on a user by establishing a virtual 3D environment via the VR headset according to test data provided by the computer device. The computer device receives, from the physiological sensor device, a physiological signal of the user in response to the illness test to analyze an illness condition of the user.

A device and method of generating an enriched gas within a nasal vestibule of a patient includes a housing, a chamber, a chamber inlet, a pump, a molecular sieve bed, a release outlet, and a breath duct. The chamber is configured to be received within the nasal vestibule. The pump is configured to direct an ambient air from an ambient environment into the chamber. The molecular sieve bed is positioned within the chamber and configured to collect a predetermined molecule from the ambient air thereby generating the enriched gas. The release outlet is configured to discharge the enriched gas from the chamber into the nasal vestibule. The breath duct longitudinally extends through the housing such that the breath duct is configured to fluidly communicate a fluid flow through the housing for nasal breathing by the patient while the chamber is positioned within the nasal vestibule.

Aspects include a method, system and computer program product for alleviating an episode of a movement disorder condition for a patient. The method comprises deploying an unmanned aerial vehicle (UAV) to a location of a patient based on an occurrence of an episode of a movement disorder condition. A first gross sensory change stimulus is selected with a processor. The first gross sensory change stimulus is projected from the UAV. An attempt to alleviate the episode of the movement disorder condition is performed based at least in part on the projecting of the first gross sensory change stimulus from the UAV. The alleviating of the episode of the movement disorder condition is detected based on the gross sensory change stimulus from the UAV.