Abstract: 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.

Abstract: A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system comprises a stimulator and an amplifier unit. The amplifier unit comprises 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 real-time electromyography (EMG) data related to the patient to the algorithm module. The algorithm module processes the real-time EMG data, including filtering the EMG data to remove artifacts generated by the SCS electrodes. The SCS system compares the filtered EMG data in real-time with the pre-clinical EMG data and displays the comparison data on the display device. The displayed data is used, by the surgeon, for lateralization of the SCS electrode.

Abstract: A Spinal Cord Stimulator (SCS) electrode placement system that includes a stimulator, at least one amplifier, a processing unit, the processing unit programmable with software. The automated system aids surgeons in placing SCS electrodes by determining neurophysiologic position. It does this by adjusting parameters and stimulating the muscles of a patient from the SCS electrode to capturing electrophysiologic signal such as Electromyography (EMG) data from different muscles. This data is then collected at various positions on the SCS electrode and then aggregated to display the location of the SCS electrode. The data is then visually outputted to the surgeon to help make a lateralization decision. All aspects of the system can be manually adjusted by the surgeon.