Abstract: A first medical device for obstructive sleep apnea therapy includes therapy delivery circuitry coupled to a first set of electrodes implantable proximate to a first hypoglossal nerve within a tongue of the patient and configured to deliver a first electrical stimulation signal to the first hypoglossal nerve that causes the tongue of the patient to advance and includes information to communicate to a second medical device implantable within the head or neck of the patient and coupled to a second set of electrodes implantable proximate to a second hypoglossal nerve within the tongue of the patient; and sensing circuitry coupled to the first set of electrodes and configured to receive a second electrical stimulation signal, delivered to the second hypoglossal nerve by the second medical device, that includes information that the second medical device communicates to the first medical device.

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: The present disclosure provides a catheter design tool and methods thereof for selecting or designing an optimal catheter profile for a particular patient or group of patients. For example, the tool includes a data set (e.g., input into the system) pertaining to a plurality of anatomy parameters and a plurality of catheter parameters to determine one or more catheter profiles that allow the best implant efficacy for a particular patient or group of patients. Specifically, the tool evaluates the efficacy of a particular catheter profile for use with a particular patient, the most optimal catheter profile from a plurality of catheter profiles for use with a particular patient, and/or the most optimal catheter profile from a plurality of catheter profiles for use with a group of patients.

Abstract: Disclosed herein are techniques for implementing an intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for soft tissue luminal applications. In various embodiments, a computing system analyzes first layer input data (indicating movement, position, and/or relative distance for a person(s) and object(s) in a room) and second layer input data. The second layer input data includes sensor and/or imaging data of a patient. Based on the analysis, the computing system generates one or more recommendations for guiding a medical professional in navigating a surgical device(s) with respect to one or more soft tissue luminal portions of the patient. The recommendation(s) include at least one mapped guide toward, in, and/or around the one or more soft tissue luminal portions. The mapped guide can include data corresponding to at least three dimensions, e.g., a 3D image/video. The computing system can present the recommendation(s) as image-based output, using a user experience device.

Abstract: A first medical device for obstructive sleep apnea therapy includes therapy delivery circuitry coupled to a first set of electrodes implantable proximate to a first hypoglossal nerve within a tongue of the patient and configured to deliver a first electrical stimulation signal to the first hypoglossal nerve that causes the tongue of the patient to advance and includes information to communicate to a second medical device implantable within the head or neck of the patient and coupled to a second set of electrodes implantable proximate to a second hypoglossal nerve within the tongue of the patient; and sensing circuitry coupled to the first set of electrodes and configured to receive a second electrical stimulation signal, delivered to the second hypoglossal nerve by the second medical device, that includes information that the second medical device communicates to the first medical device.

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Devices, systems, and techniques are described for detecting stroke or seizure with a compact system. For example, a system includes a memory, a plurality of electrodes, and sensing circuitry configured to sense, via at least two electrodes of the plurality of electrodes, electrical signals from a patient, and generate, based on the electrical signals, physiological information. The system may also include processing circuitry configured to receive, from the sensing circuitry, the physiological information, determine, based on the physiological information, a seizure metric indicative of a seizure status of the patient and a stroke metric indicative of a stroke status of the patient, and store the seizure metric and the stroke metric in the memory. A housing may carry the plurality of electrodes and contain both of the sensing circuitry and the processing circuitry.

Abstract: Devices, systems, and techniques are disclosed for determining an orientation of an implanted medical lead. For example, a system may include processing circuitry configured to receive image data representing a lead implanted within a patient, identify, from the image data, at least one hypointensive portion, identify, from the image data, at least one hyperintensive portion, determine, based on the at least one hypointensive portion and the at least one hyperintensive portion, an orientation of the lead within the patient, and output the orientation of the lead.

Abstract: A burr cap assembly is at least partially inserted into a burr hole within the cranium of a patient. The burr cap assembly enables a elongate member to be inserted through the burr cap assembly to access a brain of the patient. A shifting member of the burr cap assembly may be configured to enable the elongate member to move with shifting fluid and matter of the brain. The shifting member of the burr cap assembly may be configured to move within a cavity defined by the burr cap assembly. The shifting member may be configured to move in a direction that is substantially perpendicular to a longitudinal axis of the distal portion of the elongate member. The shifting member may at least partially retain the elongate member, so as the shifting brain applies forces upon the elongate member, the elongate member and the shifting member may move within the cavity.

Abstract: A burr cap assembly is at least partially inserted into a burr hole within the cranium of a patient. The burr cap assembly enables a elongate member to be inserted through the burr cap assembly to access a brain of the patient. A shifting member of the burr cap assembly may be configured to enable the elongate member to move with shifting fluid and matter of the brain. The shifting member of the burr cap assembly may be configured to move within a cavity defined by the burr cap assembly. The shifting member may be configured to move in a direction that is substantially perpendicular to a longitudinal axis of the distal portion of the elongate member. The shifting member may at least partially retain the elongate member, so as the shifting brain applies forces upon the elongate member, the elongate member and the shifting member may move within the cavity.

Abstract: Techniques for presenting a three-dimensional (3D) anatomical representation of an anatomical structure are described. 3D models of various anatomical structures may be stored as prepackaged anatomical data. A user device, e.g., a networked workstation, may receive the prepackaged anatomical data from a networked computing device, e.g., a server, and present at least a portion of a 3D model as a 3D anatomical representation. The user device may also present a menu with the 3D anatomical representation that allows the user to manipulate the 3D anatomical representation and measure various aspects of the 3D anatomical representation. In some examples, the user device may also present a representation of a medical device in conjunction with the 3D anatomical representation.

Abstract: A method for localizing an internal body structure during an image-guided procedure that includes obtaining a three dimensional image of a body portion containing a targeted structure and selected reference structures; determining a set of landmark point coordinates for defining the location of each of the targeted and reference structures; computing triangulation parameters relating the location of the landmark points for the targeted structure and the reference structures; and, during an image-guided procedure, using the computed triangulation parameters to plot an estimated location of the targeted structure on an intra-operative image in which the reference structures have been identified.

Abstract: A computer-implemented software system and method for performing dynamic, three-dimensional reconstruction of a non-linear implanted medical device from biplane x-ray images. A biplane radiographic image of a calibration object is used to compute the relationship between a three-dimensional coordinate system and the two-dimensional coordinate system for each image plane. These relationships are used to superimpose a three-dimensional device model onto each biplane image pair. An iterative, active contour model, initiated by a user-specified curved template, solves for the three-dimensional device centerline coordinates. Device reconstruction is repeated at each time point associated with each image pair. Algorithm output is available for test development, structural analysis or other clinically relevant applications.

Abstract: A computer-implemented software system and method for performing dynamic, three-dimensional reconstruction of a non-linear implanted medical device from biplane x-ray images. A biplane radiographic image of a calibration object is used to compute the relationship between a three-dimensional coordinate system and the two-dimensional coordinate system for each image plane. These relationships are used to superimpose a three-dimensional device model onto each biplane image pair. An iterative, active contour model, initiated by a user-specified curved template, solves for the three-dimensional device centerline coordinates. Device reconstruction is repeated at each time point associated with each image pair. Algorithm output is available for test development, structural analysis or other clinically relevant applications.