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 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 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: 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: Systems and methods for closed loop spinal cord stimulation are provided. The systems and methods position a first electrode proximate to a dorsal column. The first electrode is electrically coupled to an implantable pulse generator (IPG). The systems and methods further program the IPG to deliver excitation pulses to the first electrode based on a stimulation level. The excitation pulses are emitted from the first electrode. The systems and methods further position a second electrode proximate to a dorsal root. The second electrode is electrically coupled to the IPG. The systems and methods further measure at the second electrode a first evoked potential waveforms resulting from the excitation pulses.

Abstract: Systems and methods for closed loop spinal cord stimulation are provided. The systems and methods position a first electrode proximate to a dorsal column. The first electrode is electrically coupled to an implantable pulse generator (IPG). The systems and methods further program the IPG to deliver excitation pulses to the first electrode based on a stimulation level. The excitation pulses are emitted from the first electrode. The systems and methods further position a second electrode proximate to a dorsal root. The second electrode is electrically coupled to the IPG. The systems and methods further measure at the second electrode a first evoked potential waveforms resulting from the excitation pulses.

Abstract: Systems and methods to control non-paresthesia stimulation of nerve tissue of a patient are herein disclosed. The systems and methods deliver a non-paresthesia stimulation waveform to at least one electrode proximate to target nerve fibers, and define an analysis window that is positioned to occur at an intermediate point within at least one of a first burst or an inter-burst delay. Additionally, the systems and methods, during the analysis window, measure evoked potential (EP) signals from the target nerve fibers. The systems and methods also analyze the EP signals to obtain activity data for select nerve fiber components, and adjust at least one therapy parameter to change the non-paresthesia stimulation waveform based on the activity data.

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: 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: A system and method for current steering a neurostimulation signal is provided. The system and method provide a lead coupled to an implantable pulse generator (IPG). The lead may include a plurality of electrodes. The lead may be configured to be implanted at a target position proximate to tissue of interest. The system and method program the IPG to deliver at least a first pulse train to a first electrode and a second pulse train to a second electrode. The first and second pulse trains are interleaved with one another such that the first and second pulse trains form an activation current density distribution steered to overlay the tissue of interest.

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: 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 system and method are provided to mitigate excitation of non-target regions of nerve fibers during spinal cord stimulation (SCS) of nervous tissue of a patient. The method and system deliver an SCS excitation waveform to an excitation electrode located proximate to a dorsal column (DC), the SCS excitation waveform shaped to excite a nerve fiber target region (TR) within the DC. The method and system also deliver a blocking waveform to a blocking electrode located proximate to the DR, the excitation waveform shaped to at least partially induce hyperpolarization into a nerve fiber non-target region (NTR) within the DR.

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: A system of non-linear feedback control for spinal cord stimulation is provided. The system comprises a lead adapted to be implanted within an epidural space of a dorsal column of a patients spine, and a pulse generator (PG) electrically coupled to the lead. The PG is configured to deliver spinal cord stimulation (SCS) therapy. The system also comprises a sensing circuitry configured to sense an evoked compound action potential (ECAP) response that propagates along the neural pathway. The system also comprises a processor programmed to operation, in response to instructions stored on a non-transient computer-readable medium, to obtain a baseline ECAP response when the lead and spinal cord tissue properties are in baseline states; analyze ECAP responses relative to the baseline ECAP response to obtain an ECAP feedback difference indicative of a change in at least one of the baseline state of the lead and the baseline state of the spinal cord tissue properties.

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 method of manufacturing a polyurethane compound comprises mixing together a polyol, a polyisocyanate compound and a catalyst and allowing the mixture to cure to form a polyurethane, and is characterized in that the catalyst is a neutral complex of a metal selected from Ti, Zr, Hf, Al, Fe, Bi or Sn and a multidentate organic ligand having: a) a number of anionic donor sites=x; b) a number of neutral donor sites, capable of forming a co-ordinate bond with the metal, =y; c) where x+y=from 5 to 8; d) x is from 2 to 4; e) the ligand molecule is of a size and conformation to enable each of the anionic donor sites and neutral donor sites to form a bond with the same metal atom.

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: A method of manufacturing a polyurethane compound comprises mixing together a polyol, a polyisocyanate compound and a catalyst and allowing the mixture to cure to form a polyurethane, and is characterised in that the catalyst is a neutral complex of a metal selected from Ti, Zr, Hf, Al, Fe, Bi or Sn and a multidentate organic ligand having: a) a number of anionic donor sites=x; b) a number of neutral donor sites, capable of forming a co-ordinate bond with the metal, =y; c) where x+y=from 5 to 8; d) x is from 2 to 4; e) the ligand molecule is of a size and conformation to enable each of the anionic donor sites and neutral donor sites to form a bond with the same metal atom.