Abstract: The present disclosure generally relates to extraforaminal electrical stimulation systems and leads for electrical stimulation of the dorsal root and dorsal root ganglion (DRG), minimally invasive implantation methods therefore, and related methods of providing extraforaminal electrical stimulation of the dorsal root and DRG for the treatment of a medical condition. In accordance with certain aspects, the extraforaminal electrical stimulation leads and methods are particularly suited for stimulation of dorsal roots and DRG of the cervical and thoracic spine.

Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.

Abstract: The present disclosure provides a spinal cord stimulation (SCS) system. The system includes at least one SCS lead including a lead body, at least one distal electrode located at a distal end of the lead body, the at least one distal electrode configured to apply electrical stimulation to a stimulation target of a patient, and a pain reduction assembly coupled to the lead body and configured to reduce post-operation pain at an incision site associated with implantation of the at least one SCS lead. The system further includes a pulse generator coupled to the at least one SCS lead and configured to control electrical stimulation delivered to the patient via the at least one SCS lead.

Abstract: A system and method for modeling patient-specific spinal cord stimulation (SCS) is disclosed. The system and method acquire impedance and evoked compound action potential (ECAP) signals from a lead positioned proximate to a spinal cord (SC). The lead includes at least one electrode. The system and method determine a patient-specific anatomical model based on the impedance and ECAP signals, and transform a dorsal column (DC) map template based on a DC boundary of the patient-specific anatomical model. Further, the system and method map the transformed DC map template to the patient-specific anatomical model. The system and method may also include the algorithms to solve extracellular and intracellular domain electrical fields and propagation along neurons. The system and method may also include the user interfaces to collect patient responses and compare with the patient-specific anatomical model as well as using the patient-specific anatomical model for guiding SCS programming.

Abstract: 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.

Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.

Abstract: A system and method for modeling patient-specific spinal cord stimulation (SCS) is disclosed. The system and method acquire impedance and evoked compound action potential (ECAP) signals from a lead positioned proximate to a spinal cord (SC). The lead includes at least one electrode. The system and method determine a patient-specific anatomical model based on the impedance and ECAP signals, and transform a dorsal column (DC) map template based on a DC boundary of the patient-specific anatomical model. Further, the system and method map the transformed DC map template to the patient-specific anatomical model. The system and method may also include the algorithms to solve extracellular and intracellular domain electrical fields and propagation along neurons. The system and method may also include the user interfaces to collect patient responses and compare with the patient-specific anatomical model as well as using the patient-specific anatomical model for guiding SCS programming.

Abstract: Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.

Abstract: Systems and methods are provided for determining a system response for a neuronal region of interest (ROI). The method comprises positioning an electrode proximate to the neuronal ROI. The electrode is electrically coupled to a neurostimulation (NS) system. The system delivers, from the NS system, a stimulation waveform from the electrode based on NS parameters. The system further programs one or more processors for: measuring an evoked potential waveform resulting from the stimulation waveform; comparing at least one excitation pulse within the stimulation waveform to the evoked potential waveform to obtain a candidate response function; repeating the delivering, measuring and comparing operations to obtain a collection of candidate response functions; and identifying a neuronal system response for the neuronal ROI based on the collection of candidate response functions.

Abstract: The present disclosure provides a grip sensor for quantifying pain experienced by a patient during spinal cord stimulation (SCS). The grip sensor includes an electronics enclosure, an annular outer shell substantially surrounding the electronics enclosure and sized to be held by the patient, a pressure sensor embedded in the outer shell and communicatively coupled to the electronics enclosure, the pressure sensor configured to measure a grip strength of the patient as SCS is applied to the patient, and a plurality of galvanic skin response sensors communicatively coupled to the electronics enclosure and configured to measure an electrical impedance of the skin of the patient as SCS is applied to the patient.

Abstract: Significant and aggregate user authentication activity may be analyzed across a population of users and computers in one or more networks to differentiate between authorized users and intruders in a network, and/or to detect inappropriate behavior by otherwise authorized users. Dynamic graphs and graph models over user and computer authentication activity, including time-constrained models, may be used for the purposes of profiling and analyzing user behavior in computer networks. More specifically, an edge-based breadth first search of graphs may be used that enforces time-constraints while maintaining traditional breadth first search computational complexity equivalence.

Abstract: The present disclosure provides systems and methods for correlating measurement in neurostimulation systems. A neurostimulation system includes a first sensor configured to acquire movement measurements for a subject, a second sensor configured to acquire neural measurements for the subject, and a computing device communicatively coupled to the first and second sensors. The computing device is configured to receive a movement signal from the first sensor, and receive a neural signal from the second sensor, wherein one of the movement signal and the neural signal is a trigger signal and the other of the movement signal and the neural signal is a signal of interest. The computing device is further configured to detect at least one trigger event in the trigger signal, and use the signal of interest based on the at least one trigger event.

Abstract: The present disclosure generally relates to extraforaminal electrical stimulation systems and leads for electrical stimulation of the dorsal root and dorsal root ganglion (DRG), minimally invasive implantation methods therefore, and related methods of providing extraforaminal electrical stimulation of the dorsal root and DRG for the treatment of a medical condition. In accordance with certain aspects, the extraforaminal electrical stimulation leads and methods are particularly suited for stimulation of dorsal roots and DRG of the cervical and thoracic spine.

Abstract: The present disclosure provides a grip sensor for quantifying pain experienced by a patient during spinal cord stimulation (SCS). The grip sensor includes an electronics enclosure, an annular outer shell substantially surrounding the electronics enclosure and sized to be held by the patient, a pressure sensor embedded in the outer shell and communicatively coupled to the electronics enclosure, the pressure sensor configured to measure a grip strength of the patient as SCS is applied to the patient, and a plurality of galvanic skin response sensors communicatively coupled to the electronics enclosure and configured to measure an electrical impedance of the skin of the patient as SCS is applied to the patient.

Abstract: Systems and methods are provided for determining a system response for a neuronal region of interest (ROI). The method comprises positioning an electrode proximate to the neuronal ROI. The electrode is electrically coupled to a neurostimulation (NS) system. The system delivers, from the NS system, a stimulation waveform from the electrode based on NS parameters. The system further programs one or more processors for: measuring an evoked potential waveform resulting from the stimulation waveform; comparing at least one excitation pulse within the stimulation waveform to the evoked potential waveform to obtain a candidate response function; repeating the delivering, measuring and comparing operations to obtain a collection of candidate response functions; and identifying a neuronal system response for the neuronal ROI based on the collection of candidate response functions.

Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.

Abstract: 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.

Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.

Abstract: The present disclosure provides systems and methods for disrupting neuronal oscillations. A neurostimulation system includes a stimulation lead comprising at least one contact, and an implantable pulse generator (IPG) communicatively coupled to the stimulation lead and configured to cause stimulation to be applied to a patient using no more than two contacts of the stimulation lead by causing a first burst of stimulation to be delivered, and causing a second burst of stimulation to be delivered within a neuronal refractory period that follows the first burst of stimulation.

Abstract: The present disclosure provides a spinal cord stimulation (SCS) trial system. The SCS trial system includes at least one rigid needle lead including a biocompatible conductor extending from a proximal end to a distal end, and insulation surrounding at least a portion of the biocompatible conductor, wherein the at least one rigid needle lead is configured to pierce the skin of a patient and be percutaneously implanted in the patient such that the distal end is proximate to at least one of a dorsal column, a dorsal root, dorsal root ganglia, and a peripheral nerve of the patient. The system further includes an external pulse generator (EPG) coupled to the at least one rigid needle lead and configured to apply electrical stimulation to the patient via the at least one rigid needle lead.