Abstract: Methods and systems are described for detecting if a stimulation lead implanted in a patient's brain has moved. Lead movement occurring between a first time and a second time may be determined by comparing features extracted from evoked potentials recorded at the two times. The disclosed methods and systems are particularly useful for determining if a stimulation lead has moved between the time it was implanted in the patient's brain and the time that stimulation parameters are being optimized. Lead movement during implantation, during parameter optimization, and during or between other lead optimization processes may be determined as well.

Abstract: Methods and systems are described for detecting if a stimulation lead implanted in a patient's brain has moved. Lead movement occurring between a first time and a second time may be determined by comparing features extracted from evoked potentials recorded at the two times. The disclosed methods and systems are particularly useful for determining if a stimulation lead has moved between the time it was implanted in the patient's brain and the time that stimulation parameters are being optimized. Lead movement during implantation, during parameter optimization, and during or between other lead optimization processes may be determined as well.

Abstract: Methods and systems for closed loop feedback control of electrical neuromodulation are described. Closed loop feedback control is based on sensed electrical potentials, which are used as reference control variables in a feedback control algorithm to adjust the electrical stimulation based on one or more control algorithm parameters. The performance of the closed loop feedback control algorithm may be evaluated, and the feedback algorithm may be adjusted based on its performance. In some instances, the feedback algorithm may be adjusted based on an indication state of the patient.

Abstract: Techniques for determining baseline voltages to assess sensed neural responses or other sensed signals in an implantable stimulator device are disclosed, which allows features of the neural responses or other signals to be more easily and reliably established. Features of the neural response, indicative of the AC characteristics of the responses, may be used to control or monitoring stimulation in the device, and certain features may vary with a DC offset voltage in the tissue. The determined baseline voltages compensate for such DC offset voltages, and therefore allow certain AC features of the neural response to be determined more accurately and meaningfully.

Abstract: Methods and systems for recording evoked potentials evoked during electrical stimulation of a patient's neural tissue are disclosed. The methods and systems are useful with treatment modalities, such as spinal cord stimulation (SCS). The disclosed methods and system allow for stimulation artifacts to be reduced in, or removed from, the recorded signals. A residual portion of the stimulation artifact can be modeled and subtracted from a recorded signal that includes both artifact and neural response contributions.

Abstract: Methods and systems are described for detecting if a stimulation lead implanted in a patient's brain has moved. Lead movement occurring between a first time and a second time may be determined by comparing features extracted from evoked potentials recorded at the two times. The disclosed methods and systems are particularly useful for determining if a stimulation lead has moved between the time it was implanted in the patient's brain and the time that stimulation parameters are being optimized. Lead movement during implantation, during parameter optimization, and during or between other lead optimization processes may be determined as well.

Abstract: Methods and systems are described for detecting if a stimulation lead implanted in a patient's brain has moved. Lead movement occurring between a first time and a second time may be determined by comparing features extracted from evoked potentials recorded at the two times. The disclosed methods and systems are particularly useful for determining if a stimulation lead has moved between the time it was implanted in the patient's brain and the time that stimulation parameters are being optimized. Lead movement during implantation, during parameter optimization, and during or between other lead optimization processes may be determined as well.

Abstract: Methods and systems for providing stimulation to a patient's brain using one or more electrode leads implanted in the patient's brain are described. The methods and systems use evoked potentials (EPs) and other indicators of therapeutic effectiveness/side effects to provide closed-loop control of the stimulation. Some embodiments involve recording EPs and using one or more features of the EPs to model how the stimulation activates networks within the patient's brain. A control algorithm can be used to maintain the network activation within a predetermined ranges.

Abstract: Methods and systems are described for detecting if a stimulation lead implanted in a patient's brain has moved. Lead movement occurring between a first time and a second time may be determined by comparing features extracted from evoked potentials recorded at the two times. The disclosed methods and systems are particularly useful for determining if a stimulation lead has moved between the time it was implanted in the patient's brain and the time that stimulation parameters are being optimized. Lead movement during implantation, during parameter optimization, and during or between other lead optimization processes may be determined as well.

Abstract: Methods and systems for using sensed neural responses for informing aspects of stimulation therapy are disclosed. For example, features of evoked neural responses, such as evoked compound action potentials (ECAPs) can be used for closed-loop feedback control of stimulation parameters. Aspects of the disclosed methods and systems can differentiate between changes in the sensed neural responses that are caused by the environment at stimulating electrodes and changes in the neural responses that are caused by the environment at sensing electrodes. Embodiments determine changes in the morphology of the neural responses, which morphology changes indicate a degree of change in the stimulating environment. Algorithms and systems for assigning and tracking likelihoods for underlying electrode-tissue changes based on sensed neural responses are disclosed. The feedback control modality may be updated based on such likelihoods.