Heart tissue electrical activity mapping used to guide the placement of devices to intervene in (treat) structural heart disease. In some embodiments, the intervention comprises placement of an implantable device, and/or positioning of a therapeutic device used to remove and/or remodel tissue. In some embodiments, electrical activity mapping is performed along with spatial mapping of a body cavity. In some embodiments, the intervention device position is compared to the measured positions of anatomical structures critical to heart electrical function to assess and/or prevent complications due to the device damaging heart electrical function.

A vein simulator system can be used by clinicians to improve their proficiency in placing catheters such as PIVCs or in otherwise accessing a vasculature. A vein simulator system can include a simulated portion of a body, such as a simulated human arm, that includes at least one simulated vein. The vein simulator system can also include a control system, one or more sensors and one or more feedback components. The control system can leverage the one or more sensors to generate feedback during a clinician's attempt to place a catheter and can output the feedback via the feedback components, either during or after the attempt.

A computing system may identify a surgical instrument for a surgical procedure in an operating room (OR). The computing system may detect a control input by a health care professional (HCP) to control the surgical instrument. The computing system may determine the HCP's access control level associated with the surgical instrument. The computing system may determine whether the HCP has an authorization to control the surgical instrument. If the computing system determines that HCP is unauthorized to control the surgical instrument based on the access control level associated with the HCP, the computing system may block the control input by the HCP. If the computing system determines that the HCP is authorized to control the surgical instrument based on the access control level associated with the HCP, the computing system may effectuate the control input by the HCP to control the surgical instrument.

Systems, methods, and devices are disclosed for holding devices for securing a surgical robotic device and a patient anatomy positioner to a support (e.g., in an operating room). A holding device comprises a carriage, an anchor component fixed to the carriage for attaching to the support, a patient stabilization connector extending from the anchor component for attaching to the patient positioner, and an elongate holder slidably mounted on the carriage for attaching to the robotic device, wherein, when the anchor component is attached to the support, the carriage and the patient stabilization connector are immobilized. The holding devices may also include a hydraulic cylinder interposed between the elongate holder and carriage and/or a horizontal linkage interposed between the elongate holder and the robotic device.

Devices and methods for stimulation and recording of muscle responses for determining degree of neuromuscular blockade, particularly relevant to elicitation of such responses in those under the influence of anesthesia. A system for estimating the degree of neuromuscular blockade includes at least one stimulating electrode, at least one recording electrode, a pulse generator for providing stimulation to a nerve through the stimulating electrode, and a computing device configured to: apply stimuli to the nerve according to a stimulation protocol, wherein the stimulation protocol provides a plurality of stimulation sequences that vary in frequency of pulses in the stimulation sequence, frequency of the stimulation sequences, number of pulses in the stimulation sequence, or all of the above; measure, by the recording electrode, electrical responses of a muscle; and estimate the degree of neuromuscular blockade based on changes in the electrical responses of the muscle during a stimulation sequence.

A device, system, and method for treating an area of tissue and evaluating lesion formation and quality. The system may include a medical device having a plurality of mapping electrodes on a treatment element, the plurality of mapping electrodes being configured to record from the area of tissue at least one of unipolar impedance measurements, bipolar impedance measurements, local electrical activity, and pace threshold measurements before, during, and after circulation of the cryogenic fluid within the treatment element. These measurements may be transmitted to a control unit having processing circuitry configured to compare pre-treatment measurements, in-treatment measurements, and/or post-treatment measurements to each other and/or to threshold values to determine occlusion and/or lesion quality, such as lesion transmurality.

The present invention is advantageous in that the shape of the catheter can be sensed by detecting the position of bending of the catheter body, the direction thereof, the angle thereof, and the curvature thereof through a triplet calculation of information regarding three wavelengths that have undergone a transition along respective FBGs provided on three optical cores.

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

A method for selecting one or more targets for non-invasively treating a cardiac arrhythmia in a patient includes receiving a mapping associated with the patient's heart and generating a segmented model of the mapping associated with the patient's heart. The segmented model divides the mapping into a plurality of segments. The method includes identifying one or more abnormality in the segmented model of the mapping associated with the patient's heart, determining which segment or segments of the plurality of segments include the identified one or more abnormality, and selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments that include the identified one or more abnormality.

A method includes calculating a first medial-axis tree graph of a volume of an organ of a patient in a first computerized anatomical map of the volume, acquired at a first time. A second medial-axis tree graph is calculated, of a volume of the organ of the patient in a second computerized anatomical map of the volume, acquired at a second time that is different from the first time. A deviation is detected and estimated, between the first and second tree-graphs. Using the estimated deviation, the first and second medial-axis tree graphs are registered with one another. Using the registered first and second tree graphs, the first and second computerized anatomical maps are combined.