Abstract: A method for assessment of brain signals of a patient includes determining, by one or more processors, a cluster of neural data occurring at a brain of the patient and outputting, by the one or more processors, a request for a user to provide patient state information for the cluster of the neural data in response to determining that the cluster of the neural data is occurring at the brain of the patient. The method further includes associating, by the one or more processors, the patient state information with the cluster of the neural data to generate patient assessment information and outputting, by the one or more processors, the patient assessment information.

Abstract: 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.

Abstract: An example method includes determining, by an implantable medical device (IMD), an electrode of a plurality of electrodes of a lead to be used to deliver electrical stimulation to a patient at a particular time; selecting, by the IMD and based on the determined electrode, a set of electrodes of the plurality of electrodes; and sensing, by the IMD and via the selected set of electrodes, electrical signals of the patient at the particular time.

Abstract: A medical device for providing electrical stimulation to a brain of a patient includes one or more processors. The one or more processors are configured to determine a first set of parameters of a first electrical signal that is delivered via a first electrode configured to apply electrical stimulation to a first region of the brain and to determine a second set of parameters of a second electrical signal based on the first set of parameters. The second electrical signal is delivered via a second electrode configured to apply electrical stimulation to a second region of the brain. The one or more processors are further configured to deliver, with the first electrode, the first electrical signal having the first set of parameters and to deliver, with the second electrode, the second electrical signal having the second set of parameters.

Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: 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.

Abstract: Devices, systems, and techniques are described for selecting an evoked compound action potential (ECAP) growth curve based on a posture of a patient. The ECAP growth curve defines a relationship between a parameter defining delivery of stimulation pulses delivered to the patient and a parameter of an ECAP signal of a nerve of a patient elicited by a stimulation pulse. In one example, a medical device detects a posture of a patient and selects an ECAP growth curve corresponding to the detected posture. The medical device selects, based on the ECAP growth curve corresponding to the detected posture and a characteristic of a detected ECAP signal, a value for a parameter for defining delivery of the stimulation pulses to the patient and controls delivery of the stimulation pulses according to the selected value for the parameter.

Abstract: Systems, devices, and techniques are described for adjusting electrical stimulation based on detected ECAPs. In one example, a medical device includes processing circuitry configured to control stimulation circuitry to deliver a first electrical stimulation pulse and sensing circuitry to detect, after delivery of the first electrical stimulation pulse, an ECAP signal. The processing circuitry may be configured to determine a characteristic value of the ECAP signal, determine an ECAP differential value that indicates whether the characteristic value of the ECAP signal is one of greater than a selected ECAP characteristic value or less than the selected ECAP characteristic value, determine, based on the ECAP differential value, a gain value, determine, based on the gain value, a parameter value that at least partially defines a second electrical stimulation pulse, and control the stimulation circuitry to deliver the second electrical stimulation pulse according to the parameter value.

Abstract: 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.

Abstract: Systems, devices, methods, and techniques are described for using evoked compound action potential (ECAP) signals to monitor lead position and/or detect lead migration. An example system includes sensing circuitry configured to sense an ECAP signal, and processing circuitry. The processing circuitry controls the sensing circuitry to detect, after delivery of an electrical stimulation pulse, a current ECAP signal, and determines one or more characteristics of the current ECAP signal. The processing circuitry also compares the one or more characteristics of the current ECAP signal to corresponding one or more characteristics of a baseline ECAP signal, and determines, based on the comparison, a migration state of the electrodes delivering the electrical stimulation pulse. Additionally, the processing circuitry outputs, based on the migration state, an alert indicative of migration of the electrodes.

Abstract: 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.

Abstract: 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.

Abstract: Systems, devices, and techniques are described for analyzing evoked compound action potentials (ECAP) signals to assess the effect of a delivered electrical stimulation signal. In one example, a system includes a stimulation generator configured to deliver a stimulation pulse to a patient, sensing circuitry configured to sense an evoked compound action potential (ECAP) signal evoked from the stimulation pulse, and processing circuitry. The processing circuitry may be configured to determine a maximum value of a derivative of the ECAP signal, determine a minimum value of the derivative of the ECAP signal, determine, based on the maximum value of the derivative and the minimum value of the derivative, a characteristic value of the ECAP signal, and determine, based on the characteristic value of the ECAP signal, at least one parameter value at least partially defining electrical stimulation therapy to be delivered to the patient.

Abstract: Devices, systems, and techniques are described for selecting an evoked compound action potential (ECAP) growth curve based on a posture of a patient. The ECAP growth curve defines a relationship between a parameter defining delivery of stimulation pulses delivered to the patient and a parameter of an ECAP signal of a nerve of a patient elicited by a stimulation pulse. In one example, a medical device detects a posture of a patient and selects an ECAP growth curve corresponding to the detected posture. The medical device selects, based on the ECAP growth curve corresponding to the detected posture and a characteristic of a detected ECAP signal, a value for a parameter for defining delivery of the stimulation pulses to the patient and controls delivery of the stimulation pulses according to the selected value for the parameter.

Abstract: Systems, devices, and techniques are described for adjusting electrical stimulation based on detected ECAPs. In one example, a medical device includes processing circuitry configured to control stimulation circuitry to deliver a first electrical stimulation pulse and sensing circuitry to detect, after delivery of the first electrical stimulation pulse, an ECAP signal. The processing circuitry may be configured to determine a characteristic value of the ECAP signal, determine an ECAP differential value that indicates whether the characteristic value of the ECAP signal is one of greater than a selected ECAP characteristic value or less than the selected ECAP characteristic value, determine, based on the ECAP differential value, a gain value, determine, based on the gain value, a parameter value that at least partially defines a second electrical stimulation pulse, and control the stimulation circuitry to deliver the second electrical stimulation pulse according to the parameter value.

Abstract: Techniques are described to determine a location of at least one oscillatory signal source in a patient. Processing circuitry may determine expected electrical signal levels based on a hypothetical location of the at least one oscillatory signal source. Processing circuitry may determine the electrical signal levels and determine an error value based on the expected electrical signal levels and the determined electrical signal levels. Processing circuitry may adjust the hypothetical location of the at least one oscillatory signal source until the error value is less than or equal to a threshold value, including the example where the error value is minimized.

Abstract: The present invention relates to systems, devices and methods for acquiring, measuring, monitoring, processing and analyzing physiological signals. More particularly, the present invention relates to using physiological signals to determine a subject's response to various conditions, variables or constraints. Still more particularly, the present invention relates to monitoring the subject's external body motion and/or environmental factors and determining the amount of pain a subject is suffering as a result of the motion and factors. Still more particularly, the present invention relates to a system, device and methods of quantifying a subject's pain to provide an objective measurement of the subject's pain. The present invention further relates to establishing and improving pain management protocols and therapy or treatment for the subject's pain based on the quantified pain measurement.

Abstract: Techniques are disclosed for delivering electrical stimulation therapy to a patient. In one example, a medical system delivers electrical stimulation therapy to a tissue of the patient via electrodes. The medical system determines a first response of a first sensed signal of the patient to the electrical stimulation therapy and a second response of a second sensed signal of the patient to the electrical stimulation therapy. Based on the first response and the second response for controlling the electrical stimulation therapy, the medical system selects one of the first sensed signal and the second sensed signal of the patient. The medical system adjusts a level of at least one parameter of the electrical stimulation therapy based on the selected one of the first sensed signal and the second sensed signal.

Abstract: 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.

Abstract: 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.