Medtronic, Inc.

Thomas L Chouinard

Scott R Stanslaski

Timothy R Abraham

Robert S Raike

Lukas Valine

Evan Schnell

Ilan D Gordon

Karan Chitkara

Caleb C Zarns

Steven M Goetz

Eric J Panken

Christopher L Pulliam

Andrew H Houchins

Christopher M Arnett

Alicia Weller Thompson

Hijaz M Haris

Ankush Thakur

Brady N Fetting

Rucha Gokul G Samant

Jonathon E Giftakis

Duane L Bourget

David E Linde

Benjamin P Isaacson

Kevin M Johnson

Brendan J Young-Dixon

Lance Beall

Susan Heilman Kilbane

Nicholas D Buse

Susan E Heilman Kilbane

Kevin C Johnson

Systems and methods that automatically adjust, or adapt, stimulation waveforms delivered to brain structures. Closed loop system embodiments can automatically be re-configured into a more suitable closed loop control system in response to measures of control system performance. Measures can be internal performance characteristics of the adaptive control system or external inputs provided by another subsystem. As these measures change in time, the robust adaptive system changes in response.

Robust adaptive brain stimulation

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

Brain stimulation and sensing

An example system includes a lead including a first electrode disposed at a first level, a second electrode disposed at a second level, a first group of segmented electrodes disposed at a third level, and a second group of segmented electrodes disposed at a fourth level. The example system also includes a medical device configured to deliver symmetrical electrical stimulation to a patient via the first group of segmented electrodes and the second group of segmented electrodes and sense a response to the stimulation via the first electrode and the second electrode.

Segmented lead independent electrode control for sensing or adaptive stimulation

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

A user interface of a computing device for programming a medical device configured to review historical user session data while disconnected from the medical device. During a programming session, the user interface on the computing device may include features to control the functionality of the medical device as well as view and manipulate available data stored at the medical device. The user interface may interactively view screens and features and manipulate data using the programming user interface, e.g., as if the external programming device were in a live programming session with the medical device, but while disconnected from the medical device and not in a live programming session. As one example, the user interface of the external programming device may permit flexible, extensive manipulation and viewing of sensed signals, patient events, and operational information, such as patient adjustments made over time or coincident with particular signals or events.

Interactive clinician reports for medical device therapy

Systems and methods that automatically adjust, or adapt, stimulation waveforms delivered to brain structures. Closed loop system embodiments can automatically be reconfigured into a more suitable closed loop control system in response to measures of control system performance. Measures can be internal performance characteristics of the adaptive control system or external inputs provided by another subsystem. As these measures change in time, the robust adaptive system changes in response.

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Maple Grove, MN, United States of America

Thomas L Chouinard