Patent application number | Description | Published |
20100100153 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination. | 04-22-2010 |
20110112590 | DEEP BRAIN STIMULATION FOR SLEEP AND MOVEMENT 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. | 05-12-2011 |
20110144521 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition can be selected based on a frequency domain characteristic of the sensed bioelectrical signals. In some examples, a stimulation electrode combination is selected based on a determination of which of the sense electrodes are located closest to a target tissue site, as indicated by the one or more sense electrodes that sensed a bioelectrical brain signal with a relatively highest value of the frequency domain characteristic. In some examples, determining which of the sense electrodes are located closest to the target tissue site may include executing an algorithm using relative values of the frequency domain characteristic. | 06-16-2011 |
20110144715 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition can be selected based on a frequency domain characteristic of the sensed bioelectrical signals. In some examples, a stimulation electrode combination is selected based on a determination of which of the sense electrodes are located closest to a target tissue site, as indicated by the one or more sense electrodes that sensed a bioelectrical brain signal with a relatively highest value of the frequency domain characteristic. In some examples, determining which of the sense electrodes are located closest to the target tissue site may include executing an algorithm using relative values of the frequency domain characteristic. | 06-16-2011 |
20110196446 | ELECTRICAL BRAIN STIMULATION IN GAMMA BAND - This disclosure describes techniques for delivering electrical stimulation to the brain of a patient at a frequency greater than a selected frequency. The techniques may reestablish gamma frequency band activity within the brain of a patient, and thus improve the patient's movements and cognitive states. In one example, the disclosure is directed to a method that includes selecting a frequency within a gamma frequency band and delivering electrical stimulation at a frequency greater than the selected frequency. | 08-11-2011 |
20120116475 | AROUSAL STATE MODULATION WITH ELECTRICAL STIMULATION - In some examples, an arousal network of a brain of a patient can be activated to modify the arousal state of the patient, which may be useful in treating a cognitive disorder of the patient. In some examples, a bioelectrical brain signal indicative of electrical activity in a first portion of the brain is monitored to determine whether the patient is in a first arousal state, and, in response to determining the patient is in the first arousal state, electrical stimulation is delivered to a second portion of the brain to activate an arousal neural network in the first portion of the brain to induce a second arousal state to treat the cognitive disorder, where the second arousal state is different than the first arousal state. | 05-10-2012 |
20120271375 | ELECTRICAL BRAIN THERAPY PARAMETER DETERMINATION BASED ON A BIOELECTRICAL RESONANCE RESPONSE - Various methods and apparatuses are disclosed that concern delivering electrical stimulation to a brain at a plurality of different stimulation frequencies, sensing one or more bioelectrical signals, and identifying a bioelectrical resonance response of the brain to the electrical stimulation. The bioelectrical resonance response may be identified based on a parameter of oscillation of the one or more bioelectrical signals and indicative of resonance of an area of the brain to one stimulation frequency of the plurality of stimulation frequencies. A stimulation frequency parameter for a therapy may be set based on the identified bioelectrical resonance response, wherein the stimulation frequency parameter is set at or near the one stimulation frequency. | 10-25-2012 |
20120277618 | SEIZURE PROBABILITY METRICS - In some examples, systems, devices, and techniques for determining a particular sleep stage of a patient, determining a seizure state of the patient during the particular sleep stage, and generating a seizure probability metric for the particular sleep stage based on the sleep stage and seizure state are described. In some cases, a patient may be more susceptible to seizure events during particular sleep stages. One or more seizure probability metrics indicative of a patient's susceptibility to seizure events during a particular sleep stage may be useful in creating a patient-specific treatment regimen. | 11-01-2012 |
20120277820 | ENTRAINMENT OF BIOELECTRICAL BRAIN SIGNALS - 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. | 11-01-2012 |
20130197605 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination. | 08-01-2013 |
20130268019 | ELECTRICAL STIMULATION PROGRAMMING - In one example, the disclosure relates to a method comprising receiving at least one electrical stimulation parameter value defining electrical stimulation for delivery via one or more electrodes to a tissue site, and determining, via one or more processors, a volume of sub-activation threshold impact for tissue from the delivery of the electrical stimulation to the tissue site. | 10-10-2013 |
20140135869 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination. | 05-15-2014 |
20140135870 | STIMULATION ELECTRODE SELECTION - Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination. | 05-15-2014 |
20140358024 | PATIENT STATE DETERMINATION BASED ON ONE OR MORE SPECTRAL CHARACTERISTICS OF A BIOELECTRICAL BRAIN SIGNAL - 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 | 12-04-2014 |
20140371544 | MOTION-BASED BEHAVIOR IDENTIFICATION FOR CONTROLLING THERAPY - 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. | 12-18-2014 |
20140371599 | MOTION ANALYSIS FOR BEHAVIOR IDENTIFICATION - 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. | 12-18-2014 |