Presented herein are techniques for providing tinnitus relief to recipients via an implantable arrangement. In accordance with embodiments presented herein, an implantable medical device, such as implantable tinnitus therapy device, auditory/hearing prosthesis, etc., comprises one or more implantable sensors configured to be implanted in a recipient. The one or more implantable sensors are configured to detect body noises of the recipient. The implantable medical device is configured to classify/categorize the one or more body noises and set, select, or otherwise determine a tinnitus therapy for the recipient based on the classification of the one or more body noises.

Techniques regarding neuromodulation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include a mapping component that can generate a stimulus map by mapping a stimulus parameter to a response from an entity to application of a neuromodulating stimulus, with the first neuromodulating stimulus being applied to the entity based on the first stimulus parameter, to therapeutically cause or prevent a sensation.

An example of an apparatus for percutaneously delivering neurostimulation energy to a patient and sensing from the patient using a test device placed externally to the patient is provided. The apparatus may include a stimulation lead, a sensing reference electrode, a sensing wire, and a connection system. The stimulation lead may be configured to be percutaneously introduced into the patient to place the one or more electrodes in the patient. The sensing reference electrode may be configured to be placed in the patient. The sensing wire may be connected to the sensing reference electrode and configured to be percutaneously introduced into the patient to place the sensing reference electrode in the patient. The connection system may be configured to mate the lead connector and the wire connector and to provide electrical connections between the lead connector and the test device and between the wire connector and the test device.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

In some embodiments, a clinician programmer device for controlling a deep brain stimulation (DBS) system is adapted to assist a clinician to conduct an electrode screening review for the DBS system including screening of segmented electrodes. The clinician programmer stores software code for conducting a screening review in memory. The software code may comprise: code for providing one or more interface screens for guiding the user of the device through testing of electrode configurations of the implantable stimulation lead, wherein the code for providing applies at least one testing progression for guiding the user of the device through a defined testing order.

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.

A computer implemented method and system is provided for managing neural stimulation therapy. The method comprises under control of one or more processors configured with program instructions. The method delivers a series of candidate stimulation waveforms having varied stimulation intensities to at least one electrode located proximate to nervous tissue of interest. A parameter defines the candidate stimulation waveforms is changed to vary the stimulation intensity. The method identifies a first candidate stimulation waveform that induces a paresthesia-abatement effect, while continuing to induce a select analgesic effect. The method further identifies a second candidate stimulation waveform that does not induce the select analgesic effect. The method sets a stimulation therapy based on the first and second candidate stimulation waveforms.

Methods and systems for programming stimulation parameters for an implantable medical device for neuromodulation, such as spinal cord stimulation (SCS) are disclosed. The stimulation parameters define user-configured waveforms having at least a first phase having a first polarity and a second phase having a second polarity, wherein the first and second phases are separated by an interphase interval (IPI). By delivering user-configured waveforms with different IPIs, stimulation geometry, and other waveform settings, therapeutic asynchronous activation of dorsal column fibers can be obtained.

An oral appliance for treating sleep apnea in a user includes a mouthpiece configured for being positioned in an oral cavity of the user, and at least one pulse oximeter attached to the mouthpiece. According to an aspect, the pulse oximeter is configured to monitor actual oxygen saturation levels of hemoglobin of the user when the oral appliance is positioned in the oral cavity of the user. The oral appliance may include an additional sensor attached to the mouthpiece that includes at least one of an airflow sensor, a pressure sensor, a noise detector, and an actigraphy sensor.

A programming system allows a user to program therapy parameter values for therapy delivered by a medical device by specifying a desired therapeutic outcome. In an example, the programming system presents a model of a brain network associated with a patient condition to the user. The model may be a graphical representation of a network of anatomical structures of the brain associated with the patient condition and may indicate the functional relationship between the anatomical structures. Using the model, the user may define a desired therapeutic outcome associated with the condition, and adjust excitatory and/or inhibitory effects of the stimulation on the anatomical structures. The system may determine therapy parameter values for therapy delivered to the patient based on the user input.