Patent classifications
A61B5/113
Apparatuses and Methods for Registering a Real-Time Image Feed From an Imaging Device to a Steerable Catheter
A method of registering a real-time image feed from an imaging device inserted into a steerable catheter using a navigation system is provided. The method includes inserting the imaging device into a working channel of the steerable catheter and generating a real-time image feed of one or more reference points, wherein the orientation of the reference points is known. The method further includes orienting a handle of the steerable catheter to a neutral position, displaying the real-time image feed on a display of the navigation system, and registering the real-time image feed to the steerable catheter by rotating the displayed image so that the reference points in the real-time image feed are matched to the known orientation of the reference points.
Systems, Methods and Devices for Forming Respiratory-Gated Point Cloud for Four Dimensional Soft Tissue Navigation
A surgical instrument navigation system and method of use is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient, wherein the surgical instrument, as provided, may be a steerable surgical catheter with a biopsy device and/or a surgical catheter with a side-exiting medical instrument, among others. Additionally, systems, methods and devices are provided for forming a respiratory-gated point cloud of a patient's respiratory system and for placing a localization element in an organ of a patient.
SYSTEMS AND METHODS FOR PREDICTING ATRIAL ARRHYTHMIA
Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes a risk stratifier circuit configured to, in an absence of prior and present atrial arrhythmia, determine a composite risk of the patient developing a future atrial arrhythmia using a trained machine-learning model and a plurality of features of physiological information sensed from the patient and an arrhythmia monitor circuit configured to adjust an arrhythmia monitoring parameter based at least in part on the composite risk and to detect an atrial arrhythmia event using the adjusted arrhythmia monitoring parameter.
DEPTH SENSING VISUALIZATION MODES FOR NON-CONTACT MONITORING
The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.
STATE DETERMINATION SYSTEM
Upon determining a physiological state of a seated person on the basis of measurement results of some of plural sensors, the sensors are easily and properly selected. A system includes sensors that measure measurement values to be changed on a seating surface of a seat, and a determination device. The determination device includes a storage unit that stores association relationships set by associating each area with some of the sensors, an area identification unit that identifies an area in which the coordinates of a gravity center of the seated person are located among the areas, a sensor selection unit that selects the sensors associated with the area identified by the area identification unit from the association relationships stored by the storage unit, and a determination unit that determines a physiological state of the seated person on the basis of the measurement results of the selected sensors are provided.
RESPIRATION INFORMATION ESTIMATION DEVICE AND RESPIRATION INFORMATION ESTIMATION METHOD
A respiration information estimation device includes a specific region setting unit that sets a specific region and a motion vector calculation point as a point as a reference of a motion vector based on an image including an upper body of an object person, a motion vector calculation unit that calculates the motion vector from a movement amount of the motion vector calculation point in each of the images captured consecutively, a respiration reference axis calculation unit that calculates a respiration reference axis from a respiration central point and the motion vector calculation point, a respiration signal calculation unit that calculates a respiration signal from a component of the motion vector in a direction of the respiration reference axis, and a respiration information calculation unit that calculates a respiration information estimation result, as a result of estimating a body motion caused by the respiration, from the respiration signal.
RESPIRATION INFORMATION ESTIMATION DEVICE AND RESPIRATION INFORMATION ESTIMATION METHOD
A respiration information estimation device includes a specific region setting unit that sets a specific region and a motion vector calculation point as a point as a reference of a motion vector based on an image including an upper body of an object person, a motion vector calculation unit that calculates the motion vector from a movement amount of the motion vector calculation point in each of the images captured consecutively, a respiration reference axis calculation unit that calculates a respiration reference axis from a respiration central point and the motion vector calculation point, a respiration signal calculation unit that calculates a respiration signal from a component of the motion vector in a direction of the respiration reference axis, and a respiration information calculation unit that calculates a respiration information estimation result, as a result of estimating a body motion caused by the respiration, from the respiration signal.
KINETIC ANALYSIS SYSTEM
A kinetic analysis system includes: an analytical value calculation unit configured to divide, into a plurality of divisions, a lung field region included in kinetic images in a plurality of time phases acquired as a result of kymography of a chest of an object, and calculate analytical values of the respective divisions in the plurality of time phases based on at least one of pixel signal values and the number of pixels in the respective divisions; a ventilation state calculation unit configured to calculate index values representing ventilation states of the respective divisions from the analytical values of the respective divisions in the plurality of time phases using different functions corresponding to the respective divisions; a display unit; and a control unit configured to cause the display unit to display the index values representing the ventilation states of the respective divisions in the plurality of time phases.
KINETIC ANALYSIS SYSTEM
A kinetic analysis system includes: an analytical value calculation unit configured to divide, into a plurality of divisions, a lung field region included in kinetic images in a plurality of time phases acquired as a result of kymography of a chest of an object, and calculate analytical values of the respective divisions in the plurality of time phases based on at least one of pixel signal values and the number of pixels in the respective divisions; a ventilation state calculation unit configured to calculate index values representing ventilation states of the respective divisions from the analytical values of the respective divisions in the plurality of time phases using different functions corresponding to the respective divisions; a display unit; and a control unit configured to cause the display unit to display the index values representing the ventilation states of the respective divisions in the plurality of time phases.
DYNAMIC ANALYSIS SYSTEM
A dynamic analysis system includes: an analytic value calculation unit configured to calculate an analytic value in a plurality of time phases on the basis of a dynamic image in the plurality of time phases obtained by performing dynamic photography on the chest of a subject; a ventilation state calculation unit configured to calculate, using a non-linear function, an index value representing a ventilation state of a lung field from the analytic value in the plurality of time phases; a display unit; and a control unit configured to display the index value calculated on the plurality of time phases, on the display unit.