System for stimulation therapy of the vagus nerve by implementation of a self-adaptive state transition model based on physical or physiological levels

US10124173B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10124173-B2
Application numberUS-201615195753-A
CountryUS
Kind codeB2
Filing dateJun 28, 2016
Priority dateJun 29, 2015
Publication dateNov 13, 2018
Grant dateNov 13, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the parameters. A matrix determines the transition rules between states based on physiological levels measured versus target levels. A state transition control unit determines, in an organized timely method, possible transitions between states according to the rules on physiological levels obtained in response to the implementation of the stimulation parameters of the current state, and a transition from a current state to a new state causes a corresponding change in the parameter set used for stimulation.

First claim

Opening claim text (preview).

What is claimed is: 1. A pacing therapy system, comprising: an external communication device; a stimulation device adapted to communicate with the external device, the stimulation device comprising: one or more electrodes adapted to be placed on or near a nerve of an autonomic nervous system; a sensor that senses at least one of a physiological signal or a physical signal; a processing circuit that provides at least one of a current physiological level or a current physical level using the sensor; and a control circuit that causes the stimulation device to provide a stimulation according to a set of stimulation parameters, the control circuit comprising a memory having a state transition model comprising a transition matrix and a connection matrix stored thereon, the transition matrix defining conditions for transitioning between particular states of a plurality of states of the state transition model and the connection matrix defining whether transitions between particular pairs of states are permitted, wherein the plurality of states are defined by a set of stimulation parameters and at least one of an expected physiological response or an expected physical response during application of the stimulation with the set of stimulation parameter values, and wherein the control circuit is adapted to use the state transition model to modify stimulation parameters to bring the at least one of the current physiological level or the current physical level to a reference level, wherein the control circuit is adapted to use the state transition model to modify the stimulation parameters using a self-adapting procedure by: successively storing at least one of an actual physiological level or an actual physical level achieved during delivering of the stimulation according to the set of stimulation parameters; adjusting the at least one of the expected physiological response or the expected physical response associated with the set of stimulation parameters according to the at least one of the actual physical level or the actual physiological level achieved during the stimulation with said set of stimulation parameters to obtain new values for the plurality of states; and ordering the plurality of states based on the new values of the at least one of the expected physiological response or the expected physical response to determine the states to which to transition. 2. The system of claim 1 , wherein the new value of the at least one of the expected physiological response or the expected physical response of a state of the state transition model is calculated from an average of the at least one of the actual physiological level or the actual physical level recorded during the stimulation with the set of stimulation parameters. 3. The system of claim 1 , wherein the self-adapting procedure further comprises calculating the new value of the at least one of the expected physiological response or the expected physical response of a state of the state transition model from an average of the at least one of the current physiological level or the current physical level and a current value of the at least one of the expected physiological response or the expected physical response. 4. The system of claim 1 , wherein the self-adapting procedure further comprises calculating the new value of the at least one of the expected physiological response or the expected physical response of the state of the state transition model using an artificial intelligence model between successive current physiological levels or current physical levels and a current value of the at least one of the expected physiological response or the expected physical response. 5. The system of claim 1 , wherein the self-adapting procedure is triggered by the external communication device. 6. The system of claim 5 , wherein the control circuit is adapted to: trigger stimulation sequences in the stimulation device in response to input from an operator using the external communication device; and transmit the at least one of successive physiological levels or the physical levels, in response to the sets of stimulation parameters, to the external communication device; and wherein the external communication device: determines the new values of the at least one of the expected physiological response or the expected physical response; sorts the states based on the new values of the at least one of the expected physiological response or the expected physical response; and transfers the new states with associated data pairs to the stimulation device, each data pair comprising a set of stimulation parameters and at least one of an expected physiological response or an expected physical response. 7. The system of claim 1 , wherein the self-adapting procedure is triggered by the stimulation device at predetermined regular intervals. 8. The system of claim 1 , wherein the self-adapting procedure is triggered by the stimulation device during an occurrence of a predefined event. 9. The system of claim 1 , wherein the sensor detects at least one of a cardiac, muscular or nervous electrogram signal; a body, cardiac or muscular acceleration signal; a respiratory bioimpedance signal; a blood flow or blood pressure signal; a temperature signal; a piezometric pressure signal; or a cardiac contractility signal. 10. The system of claim 9 , wherein the at least one of the current physiological level or the current physical level is determined from a variable corresponding to at least one of: a heart rate variability of sinus rhythm, a blood pressure, a cardiac contractility, a physical activity, a temperature, a movement or a respiratory rate. 11. A method of applying a pacing therapy to a nerve of the autonomic nervous system with a stimulation device, the method comprising: generating a state transition model comprising a plurality of states defined by a set of stimulation parameters and at least one of an expected physiological response or an expected physical response during application of a stimulation with the set of stimulation parameters; sensing at least one of a current physiological signal or a current physical signal; determining at least one of a current physiological level or a current physical level based on the at least one of the current physiological signal or the current physical signal; and determining a set of stimulation parameters to bring the at least one of the current physiological level or the current physical level to a reference level by: successively delivering stimulation to the nerve according to sets of stimulation parameters associated with the plurality of states; storing at least one of an actual physiological level or an actual physical level achieved during delivery of the stimulation according to the successive sets of stimulation parameters; adjusting the at least one of the expected physiological response or the expected physical response associated with the set of stimulation parameters in the state transition model for the plurality of states according to the at least one of the actual physiological level or the actual physical level achieved during delivery of sets of stimulation parameters to obtain at least one of a new expected physiological response or a new expected physical response; and ordering the plurality of states based on the at least one of the new physiological response or the new physical response to determine the states to which to transition. 12. The method of claim 11 , wherein adjusting the at least one of the expected physiological response or the expected physical response comprises calculating the at least one of the new expected physiological response or the new expe

Assignees

Inventors

Classifications

  • Current (A61N1/3616 takes precedence) · CPC title

  • Permanently implanted devices, e.g. pacemakers, other stimulators, biochips (A61B5/6861 takes precedence) · CPC title

  • User interfaces, e.g. input or presentation means · CPC title

  • Details of circuitry or electric components · CPC title

  • controlled by blood pressure · CPC title

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What does patent US10124173B2 cover?
One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the par…
Who is the assignee on this patent?
Sorin Crm Sas, Univ Rennes, Inserm Institut De La Rech Medicale, and 1 more
What technology area does this patent fall under?
Primary CPC classification A61N1/36139. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Nov 13 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).