A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system includes a stimulator and a base unit. In conjunction with a machine learning (ML) block, the base unit includes an algorithm module to store and process algorithms for processing data received from recording electrodes placed in a patient's body. The recording electrodes send electromyography (EMG) data to the algorithm module. The algorithm module processes and sends the EMG data to a display device. The displayed data is used, by a surgeon, for lateralization of the SCS electrode. The SCS system further includes algorithms to adjust stimulation parameters related to SCS electrodes based upon the surgeon's workflow. Further, the SCS system allows manual modification of stimulation parameters based upon muscle responses and the EMG data from the recording electrodes.

A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.

Systems, devices, and methods discussed herein can be for validating a position of a wirelessly powered electrostimulation device while the device is implanted in body tissue. A method can include situating the electrostimulation device in tissue and before an affixation mechanism of the electrostimulation device is deployed to maintain an implanted position of the electrostimulation device, and while electrodes of the device are in contact with the tissue, performing electrical testing of the electrostimulation device to determine whether the electrostimulation from the electrostimulation device evokes a specified response from the body that contains the tissue.

A cochlear implant system may include a cochlear implant configured to be implanted within a user and a sound processor configured to detect an amount of sound exposure to the user; gradually adjust a most comfortable level (“M level”) from an initial value towards a target value in accordance with an adaption time course and in accordance with the detected amount of sound exposure to the user by increasing the M level when the detected amount of sound exposure is above a first threshold and decreasing the M level when the detected amount of sound exposure is below a second threshold; and direct the cochlear implant to apply stimulation having the gradually adjusted M level to the user.

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 types of electrode leads that are connected to an implantable medical device are determined based on electrical parameters that are measured at the electrodes that are positioned on the leads. The different types of known electrode leads have different physical electrode arrangements that impact the measured electrical parameters. Properties in the measured electrical parameters that are indicative of the physical arrangements of electrodes of known types of electrode leads are utilized to determine the types of leads that are connected to the implantable medical device.

Systems and methods for presenting electrostimulation data and patient clinical responses to electrostimulation are disclosed. A system comprises an implantable stimulator, and a programming device including a controller to identify first and second sets of base stimulation settings each comprising an electrode configuration and stimulation parameter values selected from a configuration and parameter search space. The controller can detect clinical effects and evaluate a clinical response indicator in response to electrostimulation for each base stimulation setting of the first set, and predict clinical effects and estimate a clinical response indicator without delivering electrostimulation for each base stimulation setting of the second set. Based on the clinical response indicators, the controller can determine characteristic stimulation amplitudes for one or more electrode configurations. A formatted monopolar review report comprising the characteristic stimulation amplitudes can be displayed to the user.

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.

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.

An system may include an electrode arrangement configured for implantation in an epidural space, a neural modulation generator configured to use electrodes in the electrode arrangement to generate modulation fields, at least one storage and a controller operably connected to the neural modulation generator. The storage(s) may be configured to store supra-perception threshold dorsal root modulation field parameter data and therapeutic modulation field parameter data, where the therapeutic modulation field parameter data may be different than the supra-perception threshold dorsal root modulation field parameter data. The system may be configured to deliver a placement modulation field from the electrode arrangement in the epidural space to the dorsal roots using the supra-perception threshold dorsal root modulation field parameter data, and deliver a therapeutic modulation field from the electrode arrangement placed in the desired position within the epidural space to a therapeutic neural target using the therapeutic modulation field parameter data.