Medtronic, Inc.

Wende L Dewing

Steven M Goetz

Jon P Davis

Rajeev Madhukar Sahasrabudhe

Lynn A Davenport

Shyam Gokaldas

Jeffrey T Keacher

John Rondoni

Nathan Andrew Torgerson

Gary William King

Eric J Panken

Gabriela C Miyazawa

Elizabeth A Fehrmann

Ashish Singal

Debbie A McConnell

Delight D DeMulling

Cari Herman

Dennis M Skelton

William K Wenger

James Martin Haase

Todd V Smith

Andrew H Houchins

Joseph J Nolan

Beth C Bullemer

Brent A Huhta

Andrew Ng

Gabriela C Miyazawa Molnar

The disclosure provides techniques for parameter-directed shifting of electrical stimulation electrode combinations. An external programmer permits a user to shift electrode combinations, e.g., along the length of a lead or leads. The external programmer accepts shift input and causes an electrical stimulator to shift electrode combinations as indicated by the input. Different sets of electrodes may have different electrode counts. For example, an array of electrodes carried by one lead may have a greater number of electrodes than an array of electrodes carried on another lead. The disclosure provides techniques for shifting electrode combinations among leads with different electrode counts. For example, an external programmer may execute shifts in a series of shift operations, where the number of shift operations along the length of a lead having a greater electrode count is greater than the number of shift steps along the length of a lead having a lesser electrode count.

Shifting of electrical stimulation electrode combinations among differently sized electrode arrays

Techniques relate to operating a medical device by classifying a detected posture state of a patient. This classification may be performed by comparing the detected posture state of the patient to posture state definitions available within the system. Each definition may be described in terms of a parameter (e.g., vector) indicative of a direction in three-dimensional space. The posture state definitions may be calibrated by automatically estimating values for these parameters, thereby eliminating the need for the patient to assume each posture state during the calibration process to capture actual parameter values. According to another aspect, the estimated parameter values may be updated as the patient assumes various postures during a daily routine. For instance, estimated vectors initially used to calibrate the posture state definitions may be changed over time to more closely represent posture states the patient actually assumes, and to further adapt to changes in a patient's condition.

Automated calibration of posture state classification for a medical device

In general, the disclosure is related to characterization of implanted electrical stimulation electrode arrays using post-implant imaging. The electrode arrays may be carried by implanted leads. Characterization of implanted electrode arrays may include identification of the type or types of leads implanted within a patient and/or determination of positions of the implanted leads or electrodes carried by the leads relative to one another or relative to anatomical structures within the patient. In addition, the disclosure relates to techniques for specifying or modifying patient therapy parameters based on the characterization of the implanted electrode arrays.

Automated programming of electrical stimulation electrodes using post-implant imaging

Techniques relate to operating a medical device by classifying a detected posture state of a patient. This classification may be performed by comparing the detected posture state to posture state definitions available within the system. Each definition may be described in terms of a parameter (e.g., vector) indicative of a direction in three-dimensional space. The posture state definitions may be calibrated by automatically estimating values for these parameters, thereby eliminating the need for the patient to assume each posture state during the calibration process to capture actual parameter values. According to another aspect, the estimated parameter values may be updated as the patient assumes various postures during a daily routine. For instance, estimated vectors initially used to calibrate the posture state definitions may be changed over time to more closely represent posture states the patient actually assumes, and to further adapt to changes in a patient's condition.

The disclosure is directed to a user interface with a menu that facilitates stimulation therapy programming. The user interface displays a representation of the electrical leads implanted in the patient and at least one menu with icons that the user can use to adjust the stimulation therapy. The user may drag one or more field shapes from a field shape selection menu onto the desired location relative to the electrical leads. A manipulation tool menu may also allow the user to adjust the field shapes placed on the electrical leads, which represent the stimulation region. The programmer that includes the user interface then generates electrical stimulation parameter values for the stimulator to deliver stimulation according to the field shapes or field shape groups defined/located by the user. The field shapes may represent different types of stimulation representations, such as current density, activation functions, and neuron models.

User interface with toolbar for programming electrical stimulation therapy

Automated adjustment of posture state definitions for a medical device

This disclosure describes techniques for obtaining an image of an anatomical implant region where leads associated with an implantable medical device are implanted in a patient, manipulating the image to show lead locations and placements, performing necessary image compression and manipulations, adjusting the image to associate it with information (e.g., patient, metadata, annotations, etc.) useful to a subsequent programmer retrieving the image, and transferring a copy of the captured image to the implantable medical device. The image stored in the implantable medical device may be retrieved at a later time by a user of programmer, where the user can use the image and other associated information to program subsequent therapy.

Storing image of therapy region in implantable medical device

Example techniques involve generating test stimulation programs based upon specific patient feedback to guide the programming process for stimulation therapy. The patient describes positive effects and adverse effects of the test stimulation by listing and/or rating specific types of effects, both positive and adverse, and the location of each effect. In this manner, a programming device, i.e. a programmer, uses the feedback to generate subsequent test stimulation programs. Initially, programs with unipolar electrode configurations are tested, but the programmer may generate bipolar electrode configurations to test if the patient rates the unipolar electrode combinations poorly. After the stimulation programs are tested and rated, the programmer sorts the tested programs based upon the feedback and presents the tested programs to the user. The user selects the best tested program to use for chronic stimulation therapy. Additionally, the patient may utilize the guided programming technique for continued therapy optimization.

Guided programming with feedback

An implantable delivery device including a housing, a port assembly, and a plurality of grooves. The housing includes an outer wall defining an exterior face. The port assembly includes a septum and a port opening that is exteriorly open relative to the housing face. The plurality of grooves are formed in the exterior face proximate the port opening, and are sized to receive a needle tip to guide the needle tip toward the port opening. In one embodiment, the port assembly is fluidly connected to a reservoir, such that the port assembly constitutes a reservoir refill port.

Implantable therapeutic substance delivery device with septum guide and method of use

This disclosure describes techniques for programming stimulation therapy programs according to therapy targets (e.g., symptoms or areas of pain) in a patient to which they are applied. Several programs can be programmed for each therapy target, stored on an implantable medical device, and retrieved later by a programmer to modify, edit, delete, create, and/or select a therapy program for each of the therapy targets. Each therapy target is independent from the other therapy targets, and a user can select or change a program under one therapy target without affecting programs under the other therapy targets. During programming, a user can specify parameters for each program applicable to only that program, and can specify parameters for each therapy target applicable to every program associated with that therapy target. The organization of programs into slots and the selection of a program in each slot may be manual or automated.

Programming therapy delivered by implantable medical device

Characterization of electrical stimulation electrodes using post-implant imaging

Techniques that involve generating test stimulation programs based upon specific patient feedback to guide the programming process for stimulation therapy are described. The patient describes positive effects and adverse effects of the test stimulation by listing and/or rating specific types of effects, both positive and adverse, and the location of each effect. In this manner, a programming device, i.e. a programmer, uses the feedback to generate subsequent test stimulation programs. Initially, programs with unipolar electrode configurations are tested, but the programmer may generate bipolar electrode configurations to test if the patient rates the unipolar electrode combinations poorly. After the stimulation programs are tested and rated, the programmer sorts the tested programs based upon the feedback and presents the tested programs to the user. The user selects the best tested program to use for chronic stimulation therapy. Additionally, the patient may utilize the guided programming technique for continued therapy optimization.

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Edina, MN, United States of America

Wende L Dewing