Abstract: A neuromodulation therapy is delivered via at least one electrode implanted subcutaneously and superficially to a fascia layer superficial to a nerve of a patient. In one example, an implantable medical device is deployed along a superficial surface of a deep fascia tissue layer superficial to a nerve of a patient. Electrical stimulation energy is delivered to the nerve through the deep fascia tissue layer via implantable medical device electrodes.

Abstract: A medical device system for delivering a neuromodulation therapy includes a delivery tool for deploying an implantable medical device at a neuromodulation therapy site. The implantable medical device includes a housing, an electronic circuit within the housing, and an electrical lead comprising a lead body extending between a proximal end coupled to the housing and a distal end extending away from the housing and at least one electrode carried by the lead body. The delivery tool includes a first cavity for receiving the housing and a second cavity for receiving the lead. The first cavity and the second cavity are in direct communication for receiving and deploying the housing and the lead coupled to the housing concomitantly as a single unit.

Abstract: The disclosure describes a method and system or controlling symptoms of patients suffering from Parkinson's Disease. In some examples, one or more biomarkers indicative of a patient's present symptoms are determined. The biomarkers may be used to control therapy delivered to the patient in a closed-loop manner. In addition, biomarkers may be used as an indication of therapy effectiveness.

Abstract: A medical device may receive sensor data from sensing sources, and determine confidence levels for sensor data received from each of the plurality of sensing sources. Each of the confidence levels of the sensor data from each of the sensing sources is a measure of accuracy of the sensor data received from respective sensing sources. The medical device may also determine one or more therapy parameter values based on the determined confidence levels, and cause delivery of therapy based on the determined one or more therapy parameter values.

Abstract: Various embodiments concern delivering electrical stimulation to the brain at a plurality of different levels of a stimulation parameter and sensing a bioelectrical response of the brain to delivery of the electrical stimulation for each of the plurality of different levels of the stimulation parameter. A suppression window of the stimulation parameter can be identified as having a suppression threshold as a lower boundary and an after-discharge threshold as an upper boundary based on the sensed bioelectrical responses. A therapy level of the stimulation parameter can be set for therapy delivery based on the suppression window. The therapy level of the stimulation parameter may be set closer to the suppression threshold than the after-discharge threshold within the suppression window. Data for hippocampal stimulation demonstrating a suppression window is presented.

Abstract: This disclosure relates to methods, devices, and systems for delivering and adjusting stimulation therapy. In one example, a method comprising delivering, by a stimulation electrode, electrical stimulation as a candidate therapy to a patient according to a set of candidate therapy parameters, the stimulation electrode located in proximity to the dorsal column of a patient; sensing, by a sensing electrode, an electrically evoked compound action potential (eECAP) signal in response to the delivery of the electrical stimulation; and classifying, by a processor, the sensed eECAP signal generated in response to the application of the candidate therapy relative to an eECAP baseline is disclosed.

Abstract: This disclosure relates to methods, devices, and systems for delivering and adjusting stimulation therapy. In one example, a method comprising delivering, by a stimulation electrode, electrical stimulation as a candidate therapy to a patient according to a set of candidate therapy parameters, the stimulation electrode located in proximity to the dorsal column of a patient; sensing, by a sensing electrode, an electrically evoked compound action potential (eECAP) signal in response to the delivery of the electrical stimulation; and classifying, by a processor, the sensed eECAP signal generated in response to the application of the candidate therapy relative to an eECAP baseline is disclosed.

Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

Abstract: Various embodiments concern delivering electrical stimulation to the brain at a plurality of different levels of a stimulation parameter and sensing a bioelectrical response of the brain to delivery of the electrical stimulation for each of the plurality of different levels of the stimulation parameter. A suppression window of the stimulation parameter can be identified as having a suppression threshold as a lower boundary and an after-discharge threshold as an upper boundary based on the sensed bioelectrical responses. A therapy level of the stimulation parameter can be set for therapy delivery based on the suppression window. The therapy level of the stimulation parameter may be set closer to the suppression threshold than the after-discharge threshold within the suppression window. Data for hippocampal stimulation demonstrating a suppression window is presented.

Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

Abstract: This disclosure relates to methods, devices, and systems for delivering and adjusting stimulation therapy. In one example, a method comprising delivering, by a stimulation electrode, electrical stimulation as a candidate therapy to a patient according to a set of candidate therapy parameters, the stimulation electrode located in proximity to the dorsal column of a patient; sensing, by a sensing electrode, an electrically evoked compound action potential (eECAP) signal in response to the delivery of the electrical stimulation; and classifying, by a processor, the sensed eECAP signal generated in response to the application of the candidate therapy relative to an eECAP baseline is disclosed.

Abstract: The disclosure is directed to a pressure sensor of an implantable medical device. The pressure sensor may utilize detect fluid pressure based on a changing capacitance between two capacitive elements. The pressure sensor may define at least a portion of a fluid enclosure of the IMD. In one example, the pressure sensor has a self-aligning housing shape that occludes an opening in the pump bulkhead of the IMD. An operative surface of the pressure and the portion of the fluid enclosure may be formed of a corrosion resistant and/or biocompatible material. A first capacitive element of the pressure sensor may be a metal alloy diaphragm that deflects in response to external fluid pressure. A second capacitive element of the pressure sensor may be a metal coating on a rigid insulator sealed from the fluid by the diaphragm and a housing of the sensor.

Abstract: A characteristic of a washout period following the delivery of therapy to a patient according to a therapy program may be determined based on a physiological parameter of the patient. A washout period includes the period of time during which a carryover effect from the therapy delivery dissipates. Monitoring a washout period may be useful for timing the delivery of therapy according to different therapy programs during a therapy evaluation period. For example, at least one physiological signal of the patient may be monitored to automatically determine when a washout period has ended, e.g., when stimulation and carryover effects of therapy delivery according to a first therapy program have substantially dissipated, in order to determine when therapy delivery according to a second therapy program can be initiated.

Abstract: Systems and method may be used for interfacing with a patient. Systems may include a plurality of electrodes in electrical communication with a processor. The processor may determine a relative impedance difference between a first electrode and a second electrode, and apply a sub-therapeutic stimulation pulse to one of the first and second electrodes to adjust the relative impedance difference therebetween. Systems may include a processor capable of one or both of providing therapeutic stimulation to a patient via at least one electrode, and receiving electrical signals indicative of the patient's physiological activity. In some examples, the processor may simultaneously provide therapeutic stimulation to a patient and receive electrical signals from the patient indicative of the patient's physiological activity.

Abstract: Techniques, systems, and devices are disclosed for delivering stimulation therapy to a patient. In one example, a medical device senses, via one or more electrodes, one or more oscillations of a bioelectrical signal of a brain of a patient. In response to sensing the one or more oscillations, the medical device generates a plurality of bursts of stimulation therapy pulses, the plurality of bursts comprising an inter-burst frequency selected based on a frequency of the one or more oscillations of the bioelectrical signal. Further, the medical device delivers the plurality of bursts of stimulation therapy pulses to the patient to modulate a state of the patient associated with the one or more oscillations of the bioelectrical signal.

Abstract: The disclosure is directed to a pressure sensor of an implantable medical device. The pressure sensor may utilize detect fluid pressure based on a changing capacitance between two capacitive elements. The pressure sensor may define at least a portion of a fluid enclosure of the IMD. In one example, the pressure sensor has a self-aligning housing shape that occludes an opening in the pump bulkhead of the IMD. An operative surface of the pressure and the portion of the fluid enclosure may be formed of a corrosion resistant and/or biocompatible material. A first capacitive element of the pressure sensor may be a metal alloy diaphragm that deflects in response to external fluid pressure. A second capacitive element of the pressure sensor may be a metal coating on a rigid insulator sealed from the fluid by the diaphragm and a housing of the sensor.

Abstract: Systems, devices, and techniques are disclosed for predicting a urinary event of a patient. In one example, a system comprises a fluid consumption cup comprising one or more sensors. The system may comprise communication circuitry configured to receive, from the fluid consumption cup, one or more signals that indicate an amount of fluid removed from the fluid consumption cup. The system may comprise processing circuity configured to: update a patient log based on the one or more signals that indicate the amount of fluid removed from the fluid consumption cup; determine that the urinary event is predicted to occur, the occurrence of the urinary event predicted based on the patient log; and provide, in response to the determination and for receipt by the patient, a notification that the urinary event is predicted to occur.

Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.

Abstract: Intracranial pressure of a patient may be monitored in order to evaluate a seizure disorder. In some examples, trends in the intracranial pressure over time may be monitored, e.g., to detect changes to the patient's condition. In addition, in some examples, a seizure metric may be generated for a detected seizure based on sensed intracranial pressures. The seizure metric may indicate, for example, an average, median, or highest relative intracranial pressure value observed during a seizure, a percent change from a baseline value during the seizure, or the time for the intracranial pressure to return to a baseline state after the occurrence of a seizure. In addition to or instead of intracranial pressure, patient motion or posture may be monitored in order to assess the patient's seizure disorder. For example, a seizure type or severity may be determined based on patient motion sensed during a seizure.

Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.