Medtronic, Inc.

Covidien LP

Other

Jadin C Jackson

Eric J Panken

Scott R Stanslaski

Christopher L Pulliam

Abbey Beuning Holt Becker

Rene A Molina

Yizi Xiao

Michelle A Case

David P Olson

Randal C Schulhauser

Venkat R Gaddam

Patrick W Kinzie

Robert A Corey

Kunal J Paralikar

Heather Diane Orser

Elizabeth A Fehrmann

Gregory J Loxtercamp

Boysie R Morgan

Eduardo N Warman

John Wainwright

Robert S Raike

Eric M Christensen

Paul G Krause

Aaron Gilletti

Julia Slopsema

Alejo Chavez Gaxiola

Paula Andrea Elma Dassbach Green

Steven M Goetz

Avram Scheiner

Timothy R Abraham

Jianping Wu

David J Miller

David Probst

Alan Shi

Daniel Hahn

Cleveland C Smith

Brian D Pederson

Boysie Morgan

Devices, systems, and techniques for identifying electrodes closest to a target region of tissue are described. In one example, a device includes sensing circuitry configured to sense electrical signals from a plurality of electrode combinations. Processing circuitry identifies a first electrode combination of a first subset of electrode combinations. Each electrode combination of the first subset of electrode combination includes electrodes located at different axial positions along a length of the medical lead. The processing circuitry identifies a second electrode combination of a second subset of electrode combinations. Each electrode combination of the second subset of electrode combinations includes electrodes located at a same axial position and different circumferential positions around a perimeter of the medical lead. The processing circuitry then determines a third electrode combination and controls delivery of electrical stimulation via the third electrode combination.

Directional sensing for programming guidance

This disclosure is directed to devices, systems, and techniques for determining one or more phase relationships. A medical device system includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to receive a plurality of electrical signals which indicate a phase relationship between two or more tissue regions within a target area of neural tissue of a patient. Additionally, the processing circuitry is configured to determine, based on the plurality of electrical signals, the phase relationship between the two or more tissue regions, and compare the phase relationship with a target phase relationship for the two or more tissue regions within the target area. The processing circuitry is further configured to determine, based on the comparison, one or more parameters of stimulation for delivery to the patient and cause a therapy delivery circuit to determine the stimulation.

Determining relative phase relationships for delivery of electrical stimulation therapy

A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke.

Systems and methods for detecting strokes

Devices, systems, and techniques are described for identifying stimulation parameter values based on electrical stimulation that induces dyskinesia for the patient. For example, a method may include controlling, by processing circuitry, a medical device to deliver electrical stimulation to a portion of a brain of a patient, receiving, by the processing circuitry, information representative of an electrical signal sensed from the brain after delivery of the electrical stimulation, determining, by the processing circuitry and from the information representative of the electrical signal, a peak in a spectral power of the electrical signal at a second frequency lower than a first frequency of the electrical stimulation, and responsive to determining the peak in the spectral power of the electrical signal at the second frequency, performing, by the processing circuitry, an action.

Stimulation induced neural response for parameter selection

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 is configured to receive, for each electrode combination of a plurality of electrode combinations, information representing a signal sensed in response to first electrical stimulation delivered to a patient via a lead, wherein the plurality of electrode combinations comprise different electrode combinations comprising electrode disposed at different positions around a perimeter of the lead implanted in the patient. The system may also be configured to determine, based on the information for each electrode combination of the plurality of electrode combinations, values for a threshold at different locations around the perimeter of the lead and determine, based on the values for the threshold, one or more stimulation parameter values that at least partially define second electrical stimulation deliverable to the patient via the lead.

Directional stimulation programming

Devices, systems, and techniques for monitoring the temperature of a device used to charge a rechargeable power source are disclosed. Implantable medical devices may include a rechargeable power source that can be transcutaneously charged. The temperature of an external charging device and/or an implantable medical device may be monitored to control the temperature exposure to patient tissue during a charging session used to recharge the rechargeable power source. In one example, a temperature sensor may sense a temperature of an internal portion of a device, wherein the housing of the device is not directly thermally coupled to the temperature sensor. A temperature for the housing of the device may then be estimated based on the sensed temperature provided by the non-thermally coupled temperature sensor. A processor may then control charging of the rechargeable power source based on the determined temperature for the housing.

Medical device temperature estimation

A stimulation therapy system dynamically modifies therapy intensity based on measured neurotransmitter levels. In some examples, the system delivers, via an electrode implanted in a brain of a patient and stimulation circuitry, an electrical stimulus; monitors an electrical current generated by the stimulation circuitry to deliver the electrical stimulus; determines, based on the electrical current, a value representative of a concentration of dopamine in the brain of the patient; determines, based on the value representative of the concentration of dopamine, a value for one or more stimulation parameters that at least partially define electrical stimulation therapy; and delivers, via the electrode, the electrical stimulation therapy.

Brain stimulation therapy

An enzymatic sensor configured to determine the concentration of levodopa present in a sample according to a current or a resonant frequency produced in response to levodopa interactions with L-amino acid decarboxylase present in the sensor. A processor associated with the sensor determines levodopa concentration and produces dose recommendation or output according to levodopa concentration.

Levodopa sensor for tight tuning of dosage

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.

Electrode movement detection

Devices, systems, and techniques are configured for identifying stimulation parameter values based on electrical stimulation that induces dyskinesia for the patient. For example, a method may include controlling, by processing circuitry, a medical device to deliver electrical stimulation to a portion of a brain of a patient, receiving, by the processing circuitry, information representative of an electrical signal sensed from the brain after delivery of the electrical stimulation, determining, by the processing circuitry and from the information representative of the electrical signal, a peak in a spectral power of the electrical signal at a second frequency lower than a first frequency of the electrical stimulation, and responsive to determining the peak in the spectral power of the electrical signal at the second frequency, performing, by the processing circuitry, an action.

Stimulation induced neural response for detection of lead movement

Techniques are disclosed to automate determination of therapy parameter values for adaptive deep brain stimulation (aDBS). A medical device may determine differences in power values between a present and a previous power value. Based on the difference being greater than or equal to a threshold value, the medical device may iteratively adjust a present therapy parameter value until the difference in the power values between a present and a previous power value is less than the threshold value.

Signal-based automated deep brain stimulation programming

Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.

Real-time phase detection of frequency band

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Roseville, MN, United States of America

Jadin C Jackson