Abstract: The disclosure describes devices and systems for determining alternative electrode combinations and power consumption for these alternative electrode combinations. In one example, a method includes identifying a set of one or more electrodes configured to deliver electrical stimulation therapy via a lead, determining, based on the set of one or more electrodes, one or more alternative electrode combinations for delivering electrical stimulation therapy, calculating, for each of the one or more alternative electrode combinations, a respective field similarity score with respect to the set of one or more electrodes, and outputting a representation of at least one of the one or more alternative electrode combinations for selection in at least partially defining electrical stimulation therapy, the representation comprising an indication of at least one of the respective power consumption values or the respective field similarity scores.

Abstract: Electrical stimulation sources and amplitudes are allocated to implantable electrodes based on impedance values for controlled delivery of electrical stimulation therapy to a patient. Allocation may include assigning implantable electrodes, in a group of active electrodes, to clusters based on impedance values of the electrodes, coupling the electrode clusters to respective stimulation sources, and defining respective stimulation amplitudes delivered by the stimulation sources to the electrode clusters. Each cluster may include electrodes having relatively similar impedance values, such that electrodes in each cluster present less variation in impedance relative to impedance variation across the group of electrodes. With reduced variation in impedance, in some examples, variation in current outflow through electrodes in each cluster may be reduced, promoting more uniform distribution of stimulation current across the group of active electrodes and a more uniform stimulation field.

Abstract: Electrical stimulation sources and amplitudes are allocated to implantable electrodes based on impedance values for controlled delivery of electrical stimulation therapy to a patient. Allocation may include assigning implantable electrodes, in a group of active electrodes, to clusters based on impedance values of the electrodes, coupling the electrode clusters to respective stimulation sources, and defining respective stimulation amplitudes delivered by the stimulation sources to the electrode clusters. Each cluster may include electrodes having relatively similar impedance values, such that electrodes in each cluster present less variation in impedance relative to impedance variation across the group of electrodes. With reduced variation in impedance, in some examples, variation in current outflow through electrodes in each cluster may be reduced, promoting more uniform distribution of stimulation current across the group of active electrodes and a more uniform stimulation field.

Abstract: The present invention relates to a system (10) for planning and/or providing a therapy for neural applications, especially a neurostimulation and/or neurorecording applications, comprising at least one lead (300), the lead (300) having a plurality of electrodes (132) being capable to provide at least one stimulation field (F; F1; F2), further comprising at least one adjustment means (400), the adjustment means (400) being configured such that at least one characteristic parameter of the stimulation field (F; F1; F2) is directly and/or indirectly adjusted in order to establish at least one stimulation field (F; F1; F2) with at least one user defined maximal stimulation field characteristic at at least one user defined radial distance away from the lead (300).

Abstract: The disclosure describes devices and systems for determining alternative electrode combinations and power consumption for these alternative electrode combinations. In one example, a method includes identifying a set of one or more electrodes configured to deliver electrical stimulation therapy via a lead, determining, based on the set of one or more electrodes, one or more alternative electrode combinations for delivering electrical stimulation therapy, calculating, for each of the one or more alternative electrode combinations, a respective field similarity score with respect to the set of one or more electrodes, and outputting a representation of at least one of the one or more alternative electrode combinations for selection in at least partially defining electrical stimulation therapy, the representation comprising an indication of at least one of the respective power consumption values or the respective field similarity scores.

Abstract: The disclosure describes devices and systems for determining alternative electrode combinations and power consumption for these alternative electrode combinations. In one example, a method includes identifying a set of one or more electrodes configured to deliver electrical stimulation therapy via a lead, determining, based on the set of one or more electrodes, one or more alternative electrode combinations for delivering electrical stimulation therapy, calculating, for each of the one or more alternative electrode combinations, a respective field similarity score with respect to the set of one or more electrodes, and outputting a representation of at least one of the one or more alternative electrode combinations for selection in at least partially defining electrical stimulation therapy, the representation comprising an indication of at least one of the respective power consumption values or the respective field similarity scores.

Abstract: In one example, a computing device includes a memory to store data representative of an implant location of a lead in a patient, wherein the lead comprises a plurality of electrodes, and one or more processors configured to determine, based on the implant location, probabilities of effectiveness of electrical stimulation delivered via each of the electrodes, and present a visual representation of the determined probabilities. For instance, the representation of the determined probabilities may be displayed in conjunction with visual representations of the lead and the electrodes. The electrodes may comprise sectors of rings along the lead. In this manner, a clinician or other user of the programmer device may quickly determine electrodes that will most probabilistically deliver effective therapy via electrical stimulation.

Abstract: The present invention relates to a system (10) for planning and/or providing a therapy for neural applications, especially a neurostimulation and/or neurorecording applications, comprising at least one lead (300), the lead (300) having a plurality of electrodes (132) being capable to provide at least one stimulation field (F; F1; F2), further comprising at least one adjustment means (400), the adjustment means (400) being configured such that at least one characteristic parameter of the stimulation field (F; F1; F2) is directly and/or indirectly adjusted in order to establish at least one stimulation field (F; F1; F2) with at least one user defined maximal stimulation field characteristic at at least one user defined radial distance away from the lead (300).

Abstract: The invention relates to a system for planning and/or tuning a neuromodulation therapy, comprising: a database means for storing a plurality of data sets, each data set comprising: metadata relating to gender data, age data, local field recordings data, microelectrode recordings data, tissue fiber structures data, demographics data and/or anatomy data of a patient, and spatial data relating to distribution of a stimulation field of a neuromodulation probe; input means for entering at least one filter criterion; filter means for applying the at least one filter criterion on the plurality of data sets to generate a filtered subset of the data sets; merging means for merging the spatial data of the filtered subset to generate a functional data set; and visualization means for computing a three dimensional model of the functional data set and for visualizing an image of the three dimensional model.