Medtronic, Inc.

Nelson, Dwight E.

Jianping Wu

Dwight E Nelson

Gabriela C Molnar

Timothy J Denison

Scott R Stanslaski

Rahul Gupta

Gregory F Molnar

David L Carlson

Randy M Jensen

William J Marks, Jr

Yan Zhao

Jonathon E Giftakis

Steven L Jensen

Steven M Goetz

Eric J Panken

Mark Turner Rise

Christopher L Pulliam

Xin Su

Jadin C Jackson

Robert S Raike

Gabriela C Miyazawa

Yizi Xiao

Chih Lai

Maciej T Lazarewicz

Paula Andrea Elma Dassbach Green

In some examples, a processor determines a patient state based on activity of a bioelectrical brain signal of a patient in one or more frequency sub-bands of a frequency band of interest. For example, a processor may determine a patient state based on the power level of a bioelectrical brain signal of the patient in one or more frequency sub-bands of a frequency band, or based on a spectral pattern of a bioelectrical brain signal in a frequency band, such as a shift in a power distribution between sub-bands, a change in the peak frequency within one or more sub-bands, a pattern of the power distribution over one or more frequency sub-bands, or a width or a variability of one or more sub-bands exhibiting a relatively high or low level of activity.

Patient state determination based on one or more spectral characteristics of a bioelectrical brain signal

In some examples, a system may include a plurality of electrodes, electrical stimulation circuitry, and a controller. The controller may be configured to select one or more parameters of therapy to be delivered to a brain of a patient and to control the electrical stimulation circuitry to deliver the therapy to the brain of the patient based on the selected parameters and via a first one or more electrodes of the plurality of electrodes. The parameters may be defined based on a first plurality of electrical signals sensed at a plurality of different positions within the brain of the patient when electrical stimulation is not delivered at each of the positions and a second plurality of electrical signals sensed at each of the plurality of different positions within the brain of the patient in response to electrical stimulation delivered at each of the positions at a plurality of different intensities.

Medical therapy target definition

An implantable medical device (IMD) is described capable of determining whether a patient is susceptible to freezing of gait events during ambulatory movement without the patient demonstrating an episode of freezing of gait. In one example, the IMD senses, via one or more electrodes, a bioelectrical signal of a brain of the patient while the patient performs movement associated with freezing of gait. The IMD determines, based on the bioelectrical signal, whether the patient is susceptible to freezing of gait while the patient is not experiencing an episode of freezing of gait. Further, upon detecting the movement associated with freezing of gait, the IMD delivers electrical stimulation therapy to the patient configured to suppress freezing of gait.

Therapeutic electrical stimulation therapy for patient gait freeze

Devices, systems, and techniques for analyzing video information to objectively identify patient behavior are disclosed. A system may analyze obtained video information of patient motion during a period of time to track one or more anatomical regions through a plurality of frames of the video information and calculate one or more movement parameters of the one or more anatomical regions. The system may also compare the one or more movement parameters to respective criteria for each of a plurality of predetermined patient behaviors and identify the patient behaviors that occurred during the period of time. In some examples, a device may control therapy delivery according to the identified patient behaviors and/or sensed parameters previously calibrated based on the identified patient behaviors.

Patient motion analysis for behavior identification based on video frames with user selecting the head and torso from a frame

Techniques are described determining electrodes that are proximate or distal to location of an oscillatory signal source in a patient based on current source densities (CSDs). Processing circuitry may determine, for one or more electrodes of a plurality of electrodes, respective time-varying measurements of CSDs, aggregate, for the one or more electrodes of the plurality electrodes, the respective time-varying measurements of the CSDs to generate respective average level values for the one or more electrodes of the plurality of electrodes, determine, for one or more electrodes of the plurality of electrodes, respective phase-magnitude representations of the time-varying measurements of the CSDs. The respective phase-magnitude representations are indicative of respective magnitudes and phases of a particular frequency component of respective time-varying measurements of the CSDs. The particular frequency component is a frequency component having a largest transform coefficient in a time-varying measurement of a CSD having a largest average level value.

Determination of therapy electrode locations relative to oscillatory sources within patient

Therapy delivery to a patient may be controlled based on a determined sleep stage of the patient. In examples, the sleep stage may be determined based on a frequency characteristic of a biosignal indicative of brain activity of the patient. A frequency characteristic may include, for example, a power level within one or more frequency bands of the biosignal, a ratio of the power level in two or more frequency bands, or a pattern in the power level of one or more frequency bands over time. A therapy program may be selected or modified based on the sleep stage determination. Therapy may be delivered during the sleep stage according to the selected or modified therapy program. In some examples, therapy delivery may be controlled after making separate determinations of a sleep stage based on the biosignal and another physiological parameter, and confirming that the sleep stage determinations are consistent.

Sleep stage detection

The disclosure relates to the delivery of electrical stimulation therapy to the brain of a patient, e.g., to treat or otherwise manage a patient disorder. In one example, the disclosure relates to a method comprising generating electrical stimulation via a medical device; delivering the electrical stimulation at a first frequency to a brain of a patient when the bioelectrical brain signals of the patient oscillate at a second frequency, where the second frequency corresponds to pathological brain signals of the patient, where the electrical stimulation is selected to entrain the bioeiectrical brain signals of the patient; and adjusting the delivered electrical stimulation from the first frequency to a third frequency, where adjusting the delivered electrical stimulation changes the bioelectrical brain signal oscillations to a fourth frequency different from the second frequency. The fourth frequency may correspond to an oscillation frequency of non-pathological brain signals of the patient.

Entrainment of bioelectrical brain signals

In some examples, a medical device delivers electrical stimulation to the external portion of the globus pallidus of a brain of a patient in order to treat a sleep impairment of the patient. In some examples, the electrical stimulation may be delivered via one or more electrodes implanted in the GPe of the brain. In some examples, an electrical stimulation device is configured to deliver electrical stimulation therapy to the GPe based on detection of a sleep state of a patient. The sleep state may include, for example, a state in which the patient is awake and intending on sleeping, is awake and attempting to sleep or has initiated sleep. In addition, in some examples, an electrical stimulation device is configured to deliver electrical stimulation therapy to the GPe based on detection of an awake state of a patient.

Deep brain stimulation for sleep disorders

Delivery of electrical stimulation to the substantia nigra and the subthalamic nucleus of a brain of a patient are independently controlled in order to treat sleep and movement disorders. Electrical stimulation of the subthalamic nucleus may be effective in treating symptoms associated with a movement disorder, and electrical stimulation of the substantia nigra may be effective in treating symptoms associated with a sleep disorder. During a sleep state of the patient, a sleep stage of the patient may be determined, and an electrical stimulation device may be controlled based on the determined sleep stage. Electrical stimulation of the substantia nigra and subthalamic nucleus may be delivered at substantially the same time or at different times.

Deep brain stimulation for sleep and movement disorders

Examples for delivering electrical stimulation to a patient via a medical device to manage or treat rapid eye movement behavior disorder (RBD) are described. In one example, a method comprises determining a patient is in a rapid eye movement (REM) sleep stage, and delivering electrical stimulation therapy to the patient based on the determination that the patient is in the REM sleep stage, where the electrical stimulation therapy is delivered to inhibit movement of the patient during the REM sleep stage. In some examples, the electrical stimulation therapy may be delivered to the brain of the patient.

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Shoreview, MN, United States of America

Jianping Wu