Systems and methods for determining volume of activation for spinal cord and peripheral nerve stimulation
First Claim
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1. A system comprising:
- a finite element model (FEM) circuit, configured to determine a FEM that models an implanted electrode and a spinal cord in which the electrode is implanted;
a Fourier FEM solver circuit, communicatively coupled to the FEM circuit, configured to calculate a potential distribution in the spinal cord using information from the FEM circuit and a capacitive component of at least one of the electrode and the spinal cord; and
a volume of activation (VOA) circuit, communicatively coupled to the Fourier FEM solver circuit, configured to provide a predicted VOA using the potential distribution and a neuron model.
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Abstract
This document discloses, among other things, systems and methods for determining volume of activation for spinal cord stimulation (“SCS”) using a finite element model (FEM) circuit to determine a FEM of an implanted electrode and a spinal cord in which the electrode is implanted, a Fourier FEM solver circuit to calculate a potential distribution in the spinal cord using information from the FEM circuit and a capacitive component of at least one of the implanted electrode and the spinal cord, and a volume of activation (VOA) circuit to predict a VOA using the potential distribution and a neuron model.
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Citations
26 Claims
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1. A system comprising:
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a finite element model (FEM) circuit, configured to determine a FEM that models an implanted electrode and a spinal cord in which the electrode is implanted; a Fourier FEM solver circuit, communicatively coupled to the FEM circuit, configured to calculate a potential distribution in the spinal cord using information from the FEM circuit and a capacitive component of at least one of the electrode and the spinal cord; and a volume of activation (VOA) circuit, communicatively coupled to the Fourier FEM solver circuit, configured to provide a predicted VOA using the potential distribution and a neuron model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A hardware computer-readable medium, including instructions that, when performed by a computer, cause the computer to:
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determine a finite element model (FEM) of an implanted electrode and a spinal cord in which the electrode is implanted; calculate a potential distribution in the spinal cord using a Fourier FEM solver and a capacitive component of at least one of the electrode and the spinal cord; and predict a volume of activation (VOA) using the potential distribution and a neuron model.
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13. A system comprising:
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means for determining a finite element model (FEM) of an implanted electrode and a spinal cord in which the electrode is implanted; means for calculating a potential distribution in the spinal cord using a Fourier FEM solver and a capacitive component of at least one of the electrode and the spinal cord; and means for predicting a volume of activation (VOA) using the potential distribution and a neuron model.
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14. A computer-assisted method comprising:
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determining, by a computer processor, a finite element model (FEM) of an implanted electrode and a spinal cord in which the electrode is implanted; calculating, by the processor, a potential distribution in the spinal cord using a Fourier FEM solver and a capacitive component of at least one of the electrode and the spinal cord; and predicting, by the processor, a volume of activation (VOA) using the potential distribution and a neuron model. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer-implemented method comprising:
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determining, by a processor, a finite element model (FEM) of an implanted electrode, a spinal cord in which the electrode is implanted, and an electrode-spinal cord interface; calculating, by the processor, an impedance by dividing a stimulation voltage by an integrated current density along an active electrode contact; calculating, by the precessor, a potential distribution in the spinal cord in both time and space using a Fourier FEM solver, using a capacitive component of at least one of the electrode, the spinal cord, and the electrode-spinal cord interface, and using the calculated impedance, wherein the calculating the potential distribution includes; separating a stimulus waveform into frequency components; obtaining a solution of a Poisson equation at at least one frequency component with a stiffness matrix (σ
+iω
), wherein the stiffness matrix is representative of a capacitive component of at least one of the electrode and the spinal cord; andusing the solution to reassemble the stimulus waveform; predicting, by the processor, a volume of activation (VOA) using multiple stimulation waveforms;
using the potential distribution, and using a neuron model; andwherein the predicting the VOA includes interpolating the potential distribution onto a plurality of model axons.
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26. A computer-assisted method comprising:
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obtaining volumetric imaging data representing an anatomic volume of a patient; calculating at least one volume of influence of in a region in the anatomic volume, in which the calculating includes using finite element model (FEM) of an electrode and a spinal cord in the anatomic volume; and determining a potential distribution in both time and space using a Fourier FEM solver to solve the FEM.
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Specification