Medtronic, Inc.

Benjamin P Isaacson

Duane L Bourget

Scott R Stanslaski

David E Linde

Timothy J Denison

Eric J Panken

Christopher L Pulliam

David L Carlson

Jonathon E Giftakis

Timothy R Abraham

Jeffrey Herron

Robert S Raike

Thomas Adamski

Rene A Molina

Abbey Beuning Holt Becker

Nicholas D Buse

Thaddeus S Brink

Kunal J Paralikar

Thomas L Chouinard

Robert Devine

Michelle A Case

Caleb C Zarns

A medical device for providing electrical stimulation to a brain of a patient includes one or more processors. The one or more processors are configured to determine a first set of parameters of a first electrical signal that is delivered via a first electrode configured to apply electrical stimulation to a first region of the brain and to determine a second set of parameters of a second electrical signal based on the first set of parameters. The second electrical signal is delivered via a second electrode configured to apply electrical stimulation to a second region of the brain. The one or more processors are further configured to deliver, with the first electrode, the first electrical signal having the first set of parameters and to deliver, with the second electrode, the second electrical signal having the second set of parameters.

Electrical stimulation therapy

An example method includes determining, by an implantable medical device (IMD), an electrode of a plurality of electrodes of a lead to be used to deliver electrical stimulation to a patient at a particular time; selecting, by the IMD and based on the determined electrode, a set of electrodes of the plurality of electrodes; and sensing, by the IMD and via the selected set of electrodes, electrical signals of the patient at the particular time.

Dynamically optimized neural sensing

A medical device or system of medical devices can be configured to detect an indicator of a symptom in a patient; in response to detecting the indicator of the symptom in the patient, deliver to the patient a first stimulation therapy; and in response to determining that the indicator of the symptom has been present for more than a threshold amount of time after beginning to deliver the first stimulation therapy a second stimulation therapy different than the first stimulation therapy.

Multi-target adaptive neurostimulation therapy control

Techniques are disclosed for defining a homeostatic window for controlling delivery of electrical stimulation therapy to a patient. In one example, a method includes generating and delivering electrical stimulation therapy to tissue of a patient via electrodes. Further, the method includes adjusting a level of a parameter of the electrical stimulation therapy such that a signal of the patient is not less than a lower bound and not greater than an upper bound. The lower bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce one or more symptoms of a disease while the patient was receiving medication for reduction of the one or more symptoms. Further, the upper bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce the one or more symptoms when the patient was not receiving the medication.

Adaptive deep brain stimulation using homeostatic window

Devices, systems, and techniques are described for transitioning between different groups of electrical stimulation programs. For example, a system may control delivery of second electrical stimulation defined by one or more second programs of a second group of stimulation programs on a time-interleaved basis with first electrical stimulation defined by one or more first programs of the first group of stimulation programs. The system may change a first ratio of the one or more first programs used to define the first electrical stimulation to the one or more second programs used to define the second electrical stimulation delivered within a first period of time to a second ratio of the one or more first programs used to define the first electrical stimulation to the one or more second programs used to define the second electrical stimulation delivered within a second period of time.

Changing electrical stimulation

Systems and method may be used for interfacing with a patient. Systems may include a plurality of electrodes in electrical communication with a processor. The processor may determine a relative impedance difference between a first electrode and a second electrode, and apply a sub-therapeutic stimulation pulse to one of the first and second electrodes to adjust the relative impedance difference therebetween. Systems may include a processor capable of one or both of providing therapeutic stimulation to a patient via at least one electrode, and receiving electrical signals indicative of the patient's physiological activity. In some examples, the processor may simultaneously provide therapeutic stimulation to a patient and receive electrical signals from the patient indicative of the patient's physiological activity.

Impedance matching and electrode conditioning in patient interface systems

This disclosure describes a state machine framework for programming closed-loop algorithms that control the delivery of therapy to a patient by an implantable medical device (IMD). The state machine framework may use one or more programmable state parameters to define at least part of a structure of a state machine that generates one or more therapy decisions based on one or more sensed states of the patient. The state machine framework may include a state machine runtime environment that executes on an IMD and that is configurable to implement a variety of different state machines depending on programmable state parameters that are received from an external device. The techniques of this disclosure may, in some cases, allow IMD developers and/or users to program, change, and/or download new closed-loop control policy algorithms during the lifespan of the IMD without requiring new firmware code to be downloaded onto the IMD.

State machine framework for programming closed-loop algorithms that control the delivery of therapy to a patient by an implantable medical device

Growing community of inventors

Centerville, MN, United States of America

Benjamin P Isaacson