Patent classifications
A61B2562/06
System and method for sorting electro-physiological signals from multi-dimensional catheters
A plurality of electrophysiological signals measured by a respective plurality of electrodes carried by a multi-dimensional catheter can be sorted relative to a direction of interest, such as a cardiac activation wavefront direction. An electroanatomical mapping system can be used to determine the orientation of the multi-dimensional catheter relative to the direction of interest. For example, the user can manually adjust the orientation by manipulating a slider, a wheel, or a similar graphical user interface control. As another example, the user can draw a presumed orientation on a geometric model. Once the orientation is determined, the system can sort the plurality of electrophysiological signals and output a graphical representation of the sorted plurality of electrophysiological signals, for example as a plurality of traces.
Passive, proportional measurement of oxygen and carbon dioxide consumption for assessment of metabolic parameters
A conventional flow tube for a metabolic cart is usually a straight length of pipe whose inner diameter is fixed by the respiratory burden imposed by the flow tube on the user, with a smaller diameter imposing a higher respiratory burden. The ratio of the straight flow tube's length to diameter is fixed by fluid dynamics, so increasing the flow tube's diameter causes the flow tube's length to increase. As the flow tube gets longer, it exerts more torque on the user's neck and jaw, creating discomfort. Reducing the flow tube's length causes an undesired increase in the respiratory burden but increasing the flow tube's diameter to reduce the respiratory burden makes the flow tube less comfortable, making the flow tube unconformable, hard to breathe through, or both. Bending the flow tube, e.g., in an L shape, makes it possible to increase the flow tube's propagation length without increasing the flow tube's lever arm length.
SYSTEM FOR MEASURING THE PRESENCE AND/OR THE CONCENTRATION OF AN ANALYSIS SUBSTANCE IN A BODILY FLUID
A system for measuring the presence and/or the concentration of an analysis substance dissolved in a bodily fluid includes a light source configured to emit an excitation light, a detection device, and an optical device defining an excitation beam path of the excitation light from the light source to a measurement region of a sample and defining a detection beam path of a detection light from the measurement region of the sample to the detection device. The detection device is configured to detect the detection light and comprises a light-sensitive sensor and at least one filter element disposed in the detection beam path. The at least one filter element being configured to suppress a transmission of light with wavelengths outside of a specified analysis wavelength range about a selected IR absorption band that is specified as being characteristic for the analysis substance.
SYSTEM AND METHOD FOR DISEASE RISK ASSESSMENT AND TREATMENT
A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.
CATHETER FOR IMAGING AND MEASUREMENT OF PRESSURE AND OTHER PHYSIOLOGICAL PARAMETERS
A catheter system includes an elongated tube structure configured for insertion into a luminal space, such as the vasculature, of a body. The catheter is conductive and configured to conduct electrical signals. The catheter includes one or more power and data coupling devices configured to send and receive power and/or data signals, such as from an underlying guidewire disposed within a lumen of the catheter. One or more sensors are coupled to a distal section of the catheter and are electrically connected to the one or more power and data coupling devices.
Local display of tissue parameter stabilization
A powered surgical stapling assembly comprising a motor, an end effector, a sensor, a display, and a control circuit is disclosed. The end effector comprises a first jaw and a second jaw movable relative to the first jaw. The end effector is configured to clamp tissue between the first jaw and the second jaw. The sensor is configured to measure a parameter of the tissue clamped within the end effector. The control circuit is configured to monitor the parameter sensed by the sensor and identify when the monitored parameter stabilizes within a stabilization range. The monitored parameter is considered stable when a rate at which the monitored parameter changes falls below a predetermine threshold rate of change. The control circuit is further configured to display to a user when the parameter stabilizes.
Sampling device for drug development and diagnosis of gastric-intestinal diseases
An ingestible electronic capsule for the collection of samples along a gastric intestinal tract and methods relating thereto are provided. The ingestible electronic capsule includes a housing and a cap that form an interior chamber. The cap includes a sampling port and one or more sample collection chambers are disposed within the interior chamber. A motor is also disposed within the interior chamber and is configured to rotate one of the cap and the one or more sample collection chambers so to align one or the one or more sample collection chambers and the sampling port of the cap so to allow for sample collection. A microcontroller is also disposed within the interior chamber and is in communication with at least the motor. The microcontroller is configured to control the selective alignment of the sampling port and one of the one or more sample collection chambers and induce gastric intestinal fluid sampling.
DEVICE AND METHOD FOR ASSESSING, PREDICTING AND OPERATING USERS HEALTH IN REAL TIME
Exemplary embodiments of the present disclosure are directed towards a medical device for assessing, and predicting and operating the user's health by capturing the user's vital signs in real time. The medical device comprises a plurality of electrodes and a plurality of sensors positioned on various finger sheaths, wrist portions, and hand portions. The various finger sheaths, the wrist portions, and the hand portions are configured to allow the plurality of electrodes to detect a plurality of electrical potentials on different surfaces of a user's body parts and the plurality of sensors to collect vital signs on different surfaces of a user's body parts. at least one processing device configured to contact with the plurality of electrodes and the plurality of sensors, the plurality of electrodes and the plurality of sensors configured to transmit the detected plurality of electrical potentials and the plurality of vital signs from the different surfaces of the user's body parts to the processing device. The processing device configured to store the plurality of electrical potentials and the plurality of vital signs and process the detected plurality of electrical potentials and the plurality of vital signs to assess a user's health and an end user device configured to receive the plurality of processed electrical potentials and the plurality of vital signs form the processing device through a network.
SYSTEM FOR SIMULATING SENSORS
The invention relates to a system for simulating sensors that in particular measure a distance between the sensor and an object, that measure geometrical dimensions of the object, that measure positions of the object, that measure material, contrast, color, luminescence, brightness or transparency of the object, that measure polarization of the light reflected by the object or that measure a magnetic field strength.
NON-INVASIVE CARDIAC HEALTH ASSESSMENT SYSTEM AND METHOD FOR TRAINING A MODEL TO ESTIMATE INTRACARDIAC PRESSURE DATA
The present disclosure relates to cardiac health assessment system for use with a handheld electronic device for assessing cardiac health of a user and a method for assessing cardiac health of a user. The disclosure further relates to systems and methods for training a machine learning model to estimate intracardiac pressure data.