Patent classifications
A61M2230/04
FLOW THERAPY SYSTEM AND METHOD
A method of determining a duration of safe apnoea. Information is obtained relating to a respiratory indicator, which can include information relating to a potential respiratory equilibrium, and a duration of safe apnoea is determined from the obtained information.
FLOW THERAPY SYSTEM AND METHOD
A method of determining a duration of safe apnoea. Information is obtained relating to a respiratory indicator, which can include information relating to a potential respiratory equilibrium, and a duration of safe apnoea is determined from the obtained information.
SYSTEMS AND METHODS FOR AIRWAY MANAGEMENT
Monitors for evaluating airway procedures, particularly in a pre-hospital environment, are described herein. In an example method, an airway parameter of an individual receiving assisted ventilation is detected by an airway sensor. A monitor determines a metric based on the airway sensor. Further, the monitor performs an action based on the metric.
SYSTEMS AND METHODS FOR AIRWAY MANAGEMENT
Monitors for evaluating airway procedures, particularly in a pre-hospital environment, are described herein. In an example method, an airway parameter of an individual receiving assisted ventilation is detected by an airway sensor. A monitor determines a metric based on the airway sensor. Further, the monitor performs an action based on the metric.
COGNITIVE PLATFORM FOR DERIVING EFFORT METRIC FOR OPTIMIZING COGNITIVE TREATMENT
Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.
COGNITIVE PLATFORM FOR DERIVING EFFORT METRIC FOR OPTIMIZING COGNITIVE TREATMENT
Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.
Apparatus, system and method for fluid delivery
A filling aid device for filling a reservoir. The device includes a cover portion comprising a septum window; a slider beam comprising a septum cover; and a first filling aid tab attached to the slider beam, the first filling aid tab in slidable relation to the cover from a first position to a second position, wherein when the filling aid device is in an unlocked position, the septum cover is located below the septum window, wherein when the first filling aid tab is moved from the first position to the second position, the septum cover is moved from below the septum window, and the filling aid device is in the locked position.
Electrophysiological mapping catheter
Disclosed are various examples and embodiments of a cardiac mapping catheter configured for electrophysiological (EP) mapping and suitable for intravascular insertion in a patient's heart, and methods of making same. The cardiac mapping catheter comprises a plurality support arms having electrodes disposed thereon. Various configurations of the cardiac mapping catheter are described and disclosed which provide improved spatial resolution and sensing of EP signals acquired from inside a patient's heart.
Blood pump with capability of electrocardiogram (EKG) monitoring, defibrillation and pacing
A blood pump system includes a catheter, a pump housing disposed distal of a distal end of the catheter, a rotor positioned at least partially in the pump housing, a controller, and an electrode coupled a distal region of the blood pump. The electrode can be used to sense electrocardiogram (EKG) signals and transmit the signals to a controller of the blood pump. The operation of the blood pump can be adjusted based on the EKG signal and on cardiac parameters derived from the EKG signal. Further, the controller can determine a need for defibrillation or pacing of the patient's heart based on the signal and can administer treatment with electrical shocks to the heart via the electrode coupled to the blood pump. The use of an electrode with a blood pump already in place in the heart allows for more efficient and safer treatment of serious cardiac conditions.
Method for delivering a digital therapy responsive to a user's physiological state at a sensory immersion vessel
One variation of a method for delivering a digital medicine experience to a user includes: loading the digital medicine experience at a sensory immersion vessel; calculating a target value of a bioindicator of the physiological state of the user, the target value of the bioindicator corresponding to a target physiological state of the user; at an initial time, rendering sensory representations of a set of elements in a multi-sensory virtual environment within the sensory immersion vessel at an initial progression rate; at a time during the digital medicine experience, succeeding the initial time, measuring a value of the bioindicator; calculating a progression rate through the digital medicine experience based on a difference between the value of the bioindicator and the target value of the bioindicator; and at a second time succeeding the time, rendering sensory representations of the set of elements in the multi-sensory virtual environment at the progression rate.