Medtronic, Inc.

Dwight E Nelson

Xin Su

Jianping Wu

Thaddeus S Brink

Rahul Gupta

Lance Zirpel

Gabriela C Molnar

Steven L Jensen

Blake A Hedstrom

Jonathon E Giftakis

Yan Zhao

Dan Sachs

Xuan K Wei

Gregory F Molnar

Ashish Singal

Sudha B Iyer

Kira Stolen

Adam P Steiner

Ryan D Willemsen

Steven M Goetz

David A Dinsmoor

Mark Turner Rise

Erik J Peterson

Maciej T Lazarewicz

Chih Lai

Jason E Agran

Rahul Agarwal

Timothy J Ness

In some examples, a technique for delivering electrical stimulation therapy to a patient includes determining, by processing circuitry, one or more cycle settings associated with delivery of the electrical stimulation therapy, determining, by the processing circuitry, a cycle time period associated with each cycle setting, and delivering, by a medical device, electrical stimulation therapy based on the determined cycle settings and the determined cycle time periods. Each cycle setting may define an on-cycle, during which electrical stimulation is delivered, and an off-cycle, during which electrical stimulation is not delivered. The technique further may include delivering electrical stimulation to the patient to provide one or more reminders to the patient, such as a reminder to void or a reminder of the existence of electrical stimulation.

Incontinence therapy

Systems and techniques are disclosed for aspects of audiovisual content selection based on collecting and processing physiological data. In an example, a system comprises: a sensor device with at one physiological sensor to capture physiological data from a human subject; an output device with a display device to output video and a speaker to output audio to the human subject; and a computing device with at least one processor to control an output of digital audiovisual data to a human subject via the output device, based on data processing operations including a comparison of an observed pattern of autonomic nervous system activity to a target pattern of autonomic nervous system activity.

Audiovisual content selection

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

This disclosure relates to devices, systems, and methods for autotitrating stimulation parameters. In one example, a method includes controlling an implantable medical device to deliver electrical stimulation to a patient according to a plurality of electrical stimulation parameter sets, each electrical stimulation parameter set of the plurality of electrical stimulation parameter sets defining a respective electrical stimulation signal deliverable to the patient, obtaining, by one or more processors and for each electrical stimulation parameter set of the plurality of electrical stimulation parameter sets, a respective signal representative of an electrical response sensed from the patient in response to the electrical stimulation delivered to the patient according to the respective electrical stimulation parameter set, and determining, by the one or more processors and based on the obtained respective signals, a primary electrical stimulation parameter set that defines electrical stimulation therapy deliverable to the patient by the implantable medical device.

Autotitration of therapy using detected electrical activity

Devices, systems, and methods may manage therapy delivery to a patient based on one or more physiological markers. In some examples, a method includes detecting a physiological marker that occurs prior in time to a dysfunctional phase of a physiological cycle, wherein a dysfunctional state of the physiological cycle occurs during the dysfunctional phase without treatment, responsive to detecting the physiological marker, initiating a first phase of the physiological cycle having a duration of time. The method may also include, responsive to the first phase elapsing, controlling a therapy delivery module to deliver neurostimulation therapy during a second phase that begins prior to the dysfunctional phase, wherein the neurostimulation therapy is configured to treat the dysfunctional state.

Managing therapy delivery based on physiological markers

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

This disclosure describes methods, systems, and devices configured to determine a timing of a future bladder related event of a patient. For example, a system includes processing circuitry configured to identify a timing of a plurality of bladder related events of a patient, determine, based on the timing of the plurality of bladder related events of the patient, a probability to experience a bladder related event function for the patient, the probability to experience a bladder related event function indicating a probability that the patient will experience a bladder related event at an elapsed time after a previous bladder related event, predict, based on the probability to experience a bladder related event function, a timing of a future bladder related event, and control delivery of a therapy to the patient based on the predicted timing of the future bladder related event.

Monitoring bladder dysfunction using a probability function

The disclosure describes devices, systems, and techniques for identifying and treating bladder dysfunction. In one example, a method includes identifying one or more focal points at respective locations of bladder tissue of a bladder of a patient, the one or more focal points initiating coordinated contractions of a detrusor muscle. The method may also, or alternatively, include ablating, for each of the one or more focal points, a respective portion of the bladder tissue at the respective location of the focal point. Ablation of these targeted portions of the bladder tissue may reduce the coordinated contractions of the detrusor muscle and alleviate overactive bladder symptoms.

Ablation therapy to disrupt coordinated bladder contractions

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

In some examples, the disclosure describes devices, systems, and techniques for treating pain and/or pelvic floor dysfunction of a patient. For example, a method for treating pelvic floor dysfunction in a patient may include delivering, via a medical device, a therapy to one or more nerve fibers, wherein the therapy is configured to at least temporarily deactivate the one or more nerve fibers; and determining that the one or more nerve fibers was at least temporarily deactivated by delivering the therapy.

Therapy to treat pelvic floor dysfunction and/or pain

In some examples, electrical stimulation is delivered to a patient such that selective termination of the stimulation causes a therapeutic effect in the patient after termination of the electrical stimulation to the patient. The electrical stimulation may be insufficient to produce a desired therapeutic effect in the patient during stimulation, but sufficient to induce a post-stimulation desired therapeutic effect following termination of the stimulation. In some examples, the electrical stimulation may be sub-threshold electrical stimulation. In some examples, the desired therapeutic effect may alleviate bladder dysfunction, bowel dysfunction, or other disorders. The stimulation may be selectively terminated in response to one or more therapy trigger events to induce the post-stimulation therapeutic effect.

Growing community of inventors

Shoreview, MN, United States of America

Dwight E Nelson