Soin Neuroscience, LLC

Avent, Inc.

Soin Therapeutics LLC

Amol Soin

Eric Anthony Schepis

Ryan Caldwell

Phillip A Schorr

David M Page

Natalia Alexeeva

Shyamy R Sastry

Leah M Roldan

Shyamant Ramana Sastry

Jalpa Shah

Lee C Burnes

Wanzhan Liu

Robert P Giannini, Jr

Leah Roldan

Shweta U Sinkar

The present disclosure is directed to a system and method for selectively and reversibly modulating targeted neural and non-neural tissue of a nervous system for the treatment of pain. An electrical stimulation is delivered to the treatment site that selectively and reversibly modulates the targeted neural- and non-neural tissue of the nervous structure, inhibiting pain while preserving other sensory and motor function, and proprioception.

Device and method to selectively and reversibly modulate a nervous system structure to inhibit pain

Methods of using low dose naltrexone to treat chronic pain in a patient. The methods of using low dose naltrexone to treat chronic pain generally includes administering to the patient a first amount of naltrexone in an immediate-release agent and a second amount of naltrexone in a modified-release agent.

Methods of using low dose naltrexone to treat chronic pain

A method of rapid frequency cycling during electrical stimulation according to an embodiment may include determining, by a controller of an electrical stimulation system, a plurality of frequency band groupings of discrete frequency bands of an electrical stimulation signal having a frequency range, wherein each frequency band grouping includes at least one discrete frequency band, wherein a corresponding current or voltage amplitude of the electrical stimulation signal is independently tuned within each discrete frequency band based on feedback received from a patient, determining, by the controller, a random sequence of the frequency band groupings of the plurality of frequency band groupings, generating, by at least one signal generator controlled by the controller, the electrical stimulation signal according to the determined random sequence of the frequency band groupings, and delivering the generated electrical stimulation signal through an electrode array to the patient to provide therapy to the patient.

Rapid frequency cycling during electrical stimulation

An electrical stimulation system for delivering spatially random electrical stimulation to a patient through an electrode array according to one embodiment includes an electrode array comprising a plurality of electrodes spaced apart from one another, a signal generator electrically coupled to the electrode array and configured to deliver an electrical stimulation signal, and a controller comprising a processor and a memory having a plurality of instructions stored thereon that, in response to execution by the processor, causes the controller to randomly select an electrical configuration from the plurality of electrodes of the electrode array by randomly selecting a first set of electrodes of the plurality of electrodes to function as electrical sources and a second set of electrodes of the plurality of electrodes to function as electrical sinks, and to instruct the signal generator to deliver the electrical stimulation signal to the patient via the randomly selected electrical configuration.

Electrode array for spatially random electrical stimulation

An automated neuromodulation system which uses patient feedback during a training phase in combination with machine learning to automatically provide optimal nerve stimulation parameters based on the patient's needs without patient input. The automated neuromodulation system generally includes a lead which is implanted in a patient for treatment of a wide range of conditions, such as chronic pain. The patient is provided with a remote control through which the patient may provide either positive or negative feedback relating to how the patient is responding to electrical stimulation in different situations. A control unit monitors feedback from the patient as well as information and data from the time of feedback, such as the patient's position, orientation, speed of movement, or other considerations. Using machine learning, the control unit may process the feedback and data to formulate an optimized neuromodulation protocol and criteria which may be automatically applied to the patient.

Method and system for automated neuromodulation through machine learning

A neuromodulation system and method with feedback optimized electrical field generation for stimulating target tissue of a patient to treat neurological and non-neurological conditions. The system generally includes implantable electrodes, implantable sensors, an implantable or external electrical signal generator, and an implantable or external controller. The controller controls the electrical signal generator to generate electrical noise stimulation signals that are delivered to the target tissue via the electrodes and that produce an optimized electric field having maximized voltage with low current density. The sensors produce temperature and impedance data for the target tissue and the controller automatically responds to values of the sensor data that indicate potential damage to the target tissue to reduce the strength of the electric field.

Neuromodulation system and method with feedback optimized electrical field generation

A method of providing electrical stimulation therapy to a patient according to one embodiment includes generating an un-tuned electrical noise signal by at least one noise generator, partitioning the un-tuned electrical noise signal into a plurality of discrete frequency bands having corresponding bandwidths, delivering the un-tuned electrical noise signal through one or more electrodes to the patient to target the patient's central or peripheral nervous system, adjusting, for each of a plurality of selected frequency bands, an amplitude of the voltage or current of the un-tuned electrical noise signal within a corresponding frequency band to generate an adjusted electrical stimulation signal based on feedback received from the patient, wherein the adjusted electrical stimulation signal includes a plurality of local maxima and a plurality of local minima, and delivering the adjusted electrical stimulation signal through the electrodes to provide electrical stimulation therapy to the patient.

Tunable electrical noise signal technologies

The present invention is directed to a system and method for adaptive multivariate control for performing a radiofrequency (RF) ablation procedure with an energy delivery device. The system includes an energy source for delivering energy to a patient's body; one or more energy delivery devices; two or more sensors for measuring at least two factors related to an ablation procedure, respectively; and at least one processor. The method includes steps of: measuring at least two factors related to an ablation procedure; determining a first operating threshold based, at least in part, on a first factor; controlling an energy delivery device based on the first operating threshold to create a lesion at the target site within the patient; determining a second operating threshold based, at least in part, on a second factor; switching control of the energy delivery device from the first factor to the second factor; and controlling the energy delivery device based on the second operating threshold to create a lesion at the target site within the patient. The present invention is also directed to a RF probe configured to be used with the adaptive multivariate control system and method to perform RF ablation procedures.

Radiofrequency probe, system, and method for adaptive multivariate control of an ablation procedure

A method of providing therapy to a patient according to one embodiment includes partitioning a frequency range into a plurality of discrete frequency bands with each having a corresponding bandwidth, generating a composite electrical signal based on a plurality of periodic signals, wherein each periodic signal has a frequency within a corresponding frequency band of the plurality of discrete frequency bands, delivering the composite electrical signal through one or more electrodes to the patient to target at least one of neural tissue or non-neural tissue of the patient, adjusting an amplitude of one or more of a voltage or a current of the composite electrical signal within a selected frequency band of the plurality of discrete frequency bands to generate an adjusted signal based on feedback received from the patient, and delivering the adjusted electrical signal through the one or more electrodes to provide therapy to the patient.

Adjustable random electrical stimulation technologies

A method of providing therapy to a patient according to one embodiment includes generating an electrical noise signal by at least one noise generator controlled by a controller of a tunable noise system, partitioning the electrical noise signal into a plurality of discrete frequency bands, each of the discrete frequency bands having a corresponding bandwidth, delivering the electrical noise signal through one or more electrodes to the patient to target at least one of neural tissue or non-neural tissue of the patient, adjusting an amplitude of one or more of a voltage or current of the electrical noise signal within a selected frequency band of the plurality of discrete frequency bands to generate an adjusted electrical signal based on feedback received from the patient, and delivering the adjusted electrical signal through the one or more electrodes to provide therapy to the patient.

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Dayton, OH, United States of America

Amol Soin