Apparatus, including a probe having a distal end insertable into a nasal sinus of a human patient, and a location sensor positioned within the distal end. A sinuplasty balloon is positioned on the distal end at a selected opening of the nasal sinus. A processor receives first signals from the location sensor while the distal end is inserted into the nasal sinus and prior to positioning of the balloon at the selected opening, and generates a first map of the sinus. The processor inflates the balloon when it is at the selected opening, so as to enlarge the selected opening, and subsequently deflates the balloon. The processor then receives second signals from the location sensor and generates therefrom a second map of the sinus. The processor registers the first map with the second map and generates from the registered maps a numerical increase in size of the selected opening.

A system and method for determining a position of a medical device within a body are provided. The system includes an electronic control unit that receives position signals from position sensors of a first type and a second type disposed on the device and applies a filter to each of the position signals to obtain filtered estimated positions for each sensor. The unit computes a spline connecting the position sensors of the first type responsive to the filtered estimated positions for the sensors and estimates a spline position for the sensor of the second type along the spline. The unit generates maps between the spline position and filtered and unfiltered estimated positions for the sensor of the second type and determines actual positions for the sensors of the first type responsive to the filtered estimated position for the sensors and a composite map of the two maps.

A method can include analyzing non-invasive electrical data for a region of interest (ROI) of a patient's anatomical structure to identify one or more zones within the ROI that contain at least one mechanism of distinct arrhythmogenic electrical activity. The method also includes analyzing invasive electrical data for a plurality of signals of interest at different spatial sites within each of the identified zones to determine intracardiac signal characteristics for the plurality of sites within each respective zone. The method also includes generating an output that integrates the at least one mechanism of distinct arrhythmogenic electrical activity for the one or more zones with intracardiac signal characteristics for the plurality of sites within each respective zone.

Devices, systems and methods are disclosed that allow a patient to self-treat a medical condition, such as migraine headache, by electrical non-invasive stimulation of a nerve, such as the vagus nerve. A nerve stimulator is configured for coupling to a mobile device configured to receive a wireless signal, such as a mobile phone. The stimulator is further configured to generate an electrical impulse and to transmit the electrical impulse through the contact surface and the outer skin surface of the patient to modulate a nerve within the patient.

An electromagnetic navigation device for guiding and tracking an interventional tool (40) within an anatomical region. The electromagnetic navigation device employs a guidewire (20) insertable into the anatomical region, and a hub (30) translatable and/or rotatable in conjunction with the interventional tool (40) relative to the guidewire (20). In operation, the guidewire (20) includes one or more guidance electromagnetic sensors generating guidance data informative of an electromagnetic sensing of a position and/or an orientation of the guidewire (20) relative to the anatomical region, and the hub (30) includes a tracking electromagnetic sensor (31) generating tracking data informative of an electromagnetic sensing of a position and/or an orientation of the hub (30) relative to the guidewire (20). Responsive to the electromagnetic sensing data, a navigation controller (76) controls a determination of a position and/or an orientation of the interventional tool (40) relative to the guidewire (20).

Image co-registration entails: emitting energy, and responsively and dynamically acquiring images, the acquired images having a given dimensionality; selecting, repeatedly, and dynamically with the acquiring, from among the acquired images and, as a result of the selecting, changing, repeatedly, and dynamically, membership in a set of images of the given dimensionality; and, synchronously with the change, dynamically and iteratively registering the set to an image having a dimensionality higher than the given dimensionality. The co-registration is realizable with an imaging probe for the acquiring, and a tracking system for tracking a location, and orientation, of the probe, the registering being specialized for the acquiring with the probe being dynamically, during the acquiring, any one or more of angulated, rotated and translated. The registering is initialized by individual transformations of members of the set, but without need for reconstruction, of the set into an image of dimensionality higher than the given dimensionality, that derives, from the set, additional pixels external to the members.

A medical robot system, including a robot coupled to an end effector element with the robot configured for controlled movement and positioning. The robot system includes a robot base having a display, a robot arm coupled to the robot base, wherein movement of the robot arm is electronically controlled by the robot base. The end-effector is coupled to the robot arm, containing one or more end-effector tracking markers. The system also includes a plurality of dynamic reference bases (DRB) attached to multiple patient fixture instruments, wherein the plurality of dynamic reference bases include one or more tracking markers indicating a position of the patient fixture instrument in a navigational space. The system also includes a first camera system and a second camera system, the first and second camera systems being able to detect a plurality of tracking markers.

Information extracted from sequential images captured from the perspective of a distal end of a medical device moving through an anatomical structure are compared with corresponding information extracted from a computer model of the anatomical structure. A most likely match between the information extracted from the sequential images and the corresponding information extracted from the computer model is then determined using probabilities associated with a set of potential matches so as to register the computer model of the anatomical structure to the medical device and thereby determine the lumen of the anatomical structure which the medical device is currently in. Sensor information may be used to limit the set of potential matches. Feature attributes associated with the sequence of images and the set of potential matches may be quantitatively compared as part of the determination of the most likely match.

A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly. The instruction signals can be configured to cause the motor assembly to selectively move the effectuator element

A medical image display apparatus for displaying medical images of a lung on a screen includes a network interface receiving positional information of a navigation instrument from a position sensor of the navigation instrument, a video stream from an optical sensor of the navigation instrument, and medical images from an imaging device, a memory storing a plurality of medical images and instructions, a processor executing the instructions, and a display dynamically displaying images on the screen. The instructions, when executed by the processor, cause the medical image display apparatus to determine whether status information indicates a pathway reviewing mode, a target management mode, or a navigation mode. The instructions, when executed by the processor, further cause the display to dynamically select and update images, which are displayed on the screen, among the plurality of medical images based on the positional information of the navigation instrument and status information.