Abstract: A method of training artificial intelligence systems includes receiving a set of images each containing an object of interest and defining a set of sub-regions on each image, at least one sub-region having a smaller area than an area of the sub-region's respective image. Each sub-region that contains an entirety of the object of interest is identified as a target sub-region. Pixels in each target sub-region that correspond to the object of interest are identified to form a true object/non-object mapping for each target sub-region. The target sub-regions are used as inputs to an artificial intelligence system and the true object/non-object mappings for the target sub-regions are used as expected outputs of the artificial intelligence system during training of the artificial intelligence system.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure relates to devices, systems, and methods for autotitrating stimulation parameters.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure relates to devices, systems, and methods for autotitrating stimulation parameters.

Abstract: Systems and methods for the clinical diagnosis of functional bladder states and disorders based upon contractile frequencies and variability. Systems and methods are also provided for the clinical diagnosis of functional bowel states and disorders based upon contractile frequencies and variability.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure relates to devices, systems, and methods for autotitrating stimulation parameters.

Abstract: 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.