Medtronic, Inc.

Covidien LP

Jonathon E Giftakis

Nina M Graves

Jonathan C Werder

David L Carlson

Paul H Stypulkowski

Eric J Panken

Mark Turner Rise

Timothy J Denison

Touby Austin Drew

Ivan Osorio

Mark G Frei

Scott R Stanslaski

Scott F Schaffner

Martin T Gerber

Nathan Andrew Torgerson

David C Ullestad

David E Linde

Dwight E Nelson

Warren W Ball

Robert S Raike

Peter Joseph Kovach

Sarah B Alme

David L Thompson

Avram Scheiner

Keith Alan Miesel

Randal C Schulhauser

David A Anderson

John Wainwright

Richard J O'Brien

Jianping Wu

Naresh C Bhavaraju

Thomas Adamski

Paul G Krause

Ekaterina M Ippolito

Mae Eng

Andrew J Ries

Yong Kyun Cho

Saul E Greenhut

Gregory F Molnar

Mark R Boone

Duane L Bourget

William C Harding

Gabriela C Miyazawa

Pedram Afshar

Randy M Jensen

Nathalie Virag

Benjamin P Isaacson

Kevin L Bright

Thomas L Chouinard

Eric M Christensen

Thomas E Peters

Nicholas D Buse

Caleb C Zarns

Jon Werder

Chark Stanford

Scott DeFoe

Philip E Tracton

Brian L Bechard

Ryan Gertenbach

Michele H Herzog

David I Carlson

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

Determining composite signals from at least three electrodes

An implantable medical device that includes a memory, stimulation circuitry configured to deliver electrical stimulation to a patient, and processing circuitry operably coupled to the memory. The processing circuitry is configured to: control the stimulation circuitry to output electrical stimulation therapy to a patient via a first electrode combination and control the stimulation circuitry to output a notification stimulation via a second electrode combination and interleaved with the electrical stimulation therapy. The notification stimulation may include an intensity above a perception level of the patient, and the second electrode combination may include an electrode disposed at an implant site of the implantable medical device.

Medical device patient alert using housing stimulation based on sensed event

A system comprises a sensor device and processing circuitry. The sensor device comprises a housing configured to be disposed above shoulders of a patient, a plurality of electrodes on the housing, a motion sensor, and sensing circuitry configured to sense a brain electrical signal and a cardiac electrical signal via the electrodes, and a motion signal via the motion sensor. The processing circuitry is configured to determine values over time of one or more parameters from the brain electrical signal, determine values over time of one or more parameters from the cardiac electrical signal, and generate at least one of a detection, prediction, or a classification a condition of the patient based on the values and the motion signal.

Detection of patient conditions using signals sensed on or near the head

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 medical system implements a seizure detection algorithm to detect a seizure based on a first patient parameter. The medical system monitors a second patient parameter to adjust the seizure detection algorithm. In some examples, the medical system determines whether a seizure for which therapy delivery is desirable occurred based on a second patient parameter. If a target seizure occurred, and the seizure detection algorithm did not detect the target seizure, the medical system adjusts the seizure detection algorithm to detect the target seizure. For example, the medical system may determine a first patient parameter characteristic indicative of the target seizure detected based on the second patient parameter and store the first patient parameter characteristic as part of the seizure detection algorithm. In some examples, the first patient parameter is an electrical brain signal and the second patient parameter is patient activity (e.g., patient motion or posture).

Seizure detection algorithm adjustment

In some examples of selecting a target therapy delivery site for treating a patient condition, a relatively high frequency electrical stimulation signal is delivered to at least two areas within a first region (e.g., an anterior nucleus of the thalamus) of a brain of a patient, and changes in brain activity (e.g., as indicated by bioelectrical brain signals) within a second region (e.g., a hippocampus) of the brain of the patient in response to the delivered stimulation are determined. The target therapy delivery site, an electrode combination, or both, may be selected based on the changes in brain activity.

Identification of compromised components in a medical system

Deep Brain Stimulation (DBS) electrodes are positioned within (or adjacent to) white matter fiber tracts in a brain of patient. The DBS electrodes may be positioned near one or more stimulation sites within the white matter fiber tracts. The stimulation sites may be selected based on the disorder of the patient. In some examples, the stimulation sites may be selected based on one or more symptoms of the patient. In some examples, additional electrodes may be positioned in another area to collect bioelectrical brain signals. The area in which the additional electrodes are placed is an area that is different from the stimulation site but is targeted by stimulation therapy provided at the stimulation site.

Brain stimulation therapy

An indication that a patient event occurred may be used to evaluate the efficacy of at least one therapy program and/or adjust therapy delivery to the patient. In some examples, the patient event indication includes patient input that may be received via an event indication button of a programming device. In some examples, therapy delivery may be adjusted by adjusting at least one therapy parameter value, switching therapy programs or therapy program groups or restarting a therapy cycle of a medical device.

Therapy adjustment

Various embodiments concern delivering electrical stimulation to the brain at a plurality of different levels of a stimulation parameter and sensing a bioelectrical response of the brain to delivery of the electrical stimulation for each of the plurality of different levels of the stimulation parameter. A suppression window of the stimulation parameter can be identified as having a suppression threshold as a lower boundary and an after-discharge threshold as an upper boundary based on the sensed bioelectrical responses. A therapy level of the stimulation parameter can be set for therapy delivery based on the suppression window. The therapy level of the stimulation parameter may be set closer to the suppression threshold than the after-discharge threshold within the suppression window. Data for hippocampal stimulation demonstrating a suppression window is presented.

Brain stimulation response profiling

Therapy adjustment based on patient event indication

Target tissue sites for therapy delivery to a patient may be selected based on the patient symptoms or a patient mood state. The therapy delivery may be used to manage a psychiatric disorder of the patient. Selected therapy sites may be weighted based on factors, such as the severity of the patient symptom or mood state or the type of patient symptom or mood state. In some cases, therapy delivery to the patient may be controlled based on the weighting factors. For example, the weighting factors may control the intensity of the therapy delivery or the frequency of the therapy delivery. In some examples, the weighting factors may dynamically change based on the patient's changing symptoms or mood disorders.

Therapy target selection for psychiatric disorder therapy

Growing community of inventors

Maple Grove, MN, United States of America

Jonathon E Giftakis