Trainer for a neurostimulator programmer and associated methods of use with a neurostimulation system

Information

  • Patent Grant
  • 11848090
  • Patent Number
    11,848,090
  • Date Filed
    Thursday, May 21, 2020
    3 years ago
  • Date Issued
    Tuesday, December 19, 2023
    4 months ago
Abstract
A training system for a neurostimulation system that may be used to simulate a neurostimulator programming session and/or lead placement. The system may include a training device that may be coupled to a neurostimulator programmer and may include an interface to allow user interaction and/or display information relevant to the stimulation. The trainer device may include circuitry for simulating a neurostimulator such as an IPG or EPG, and may include circuitry for simulating impedance associated with lead placement.
Description
FIELD OF THE INVENTION

The present invention relates to neurostimulation treatment systems and associated devices, as well as methods and devices for training clinicians, instructors, or other users of such treatment systems.


BACKGROUND OF THE INVENTION

Treatments with implantable neurostimulation systems have become increasingly common in recent years. While such systems have shown promise in treating a number of conditions, effectiveness of treatment may vary considerably between patients. A number of factors may lead to the very different outcomes that patients experience, and viability of treatment can be difficult to determine before implantation. For example, stimulation systems often make use of an array of electrodes to treat one or more target nerve structures. The electrodes are often mounted together on a multi-electrode lead, and the lead implanted in tissue of the patient at a position that is intended to result in electrical coupling of the electrode to the target nerve structure, typically with at least a portion of the coupling being provided via intermediate tissues. Other approaches may also be employed, for example, with one or more electrodes attached to the skin overlying the target nerve structures, implanted in cuffs around a target nerve, or the like. Regardless, the physician will typically seek to establish an appropriate treatment protocol by varying the electrical stimulation that is applied to the electrodes.


Neurostimulation systems are by their very nature complex and may provide reduced to no benefit to patients if adequate training is not provided to a clinician who is tasked with programming the neurostimulation systems (or to those who are instructing the clinician on how to program the neurostimulation systems). Besides simply reading manuals or viewing videos, adequate training requires practical “hands-on” training. However, training using actual pulse generators may not be feasible, at least in part due to the costs associated with these devices. As such, it would be particularly advantageous to provide systems and methods that can simulate pulse generators. Such devices may be used in place of expensive pulse generators. The resulting low-cost training system may be sufficiently available such that a larger number of clinicians or instructors may be able to have access to practical training for longer periods of time.


BRIEF SUMMARY OF THE INVENTION

The present invention generally relates to neurostimulation treatment systems and associated devices and methods, and in particular to systems and methods for simulating tasks related to neurostimulation procedures. The present invention has particular application to sacral nerve stimulation treatment systems configured to treat bladder and bowel related dysfunctions. It will be appreciated however that the present invention may also be utilized for the treatment of pain or other indications, such as movement or affective disorders, as will be appreciated by one of skill in the art.


In some embodiments, a trainer device may be coupled (wirelessly or via a wired connection) to a neurostimulator programmer (NP). The NP may be a device configured to program or adjust parameters of one or more neurostimulators (for example, an IPG or an EPG). For example the NP may be a clinician programmer. The trainer device may be a device that is configured to simulate the one or more neurostimulators. In some embodiments, the trainer device may transmit simulated neurostimulator information to the NP, wherein the simulated neurostimulator information comprises one or more stimulation parameters or information associated with one or more leads. In some embodiments, the trainer device may transmit a simulated first error information to the NP, wherein the first error information comprises an indication of a first error selected from a plurality of errors. In some embodiments, the trainer device may receive a response-information from the NP corresponding to a user input entered by a user to resolve the first error. In some embodiments, the trainer device may register within a local memory of the trainer device that the first error has been resolved. In some embodiments, the trainer device may have one or more retention pins configured to be secured to one or more open ports of the NP.


In some embodiments, the simulated neurostimulator information may include battery information of a simulated neurostimulator. In some embodiments the simulated neurostimulator information may include simulated current information related to a simulated stimulation program. That is, the simulated current information may include current information corresponding to a stimulation program that is currently ongoing. For example, the simulated current information may include values corresponding to one or more current stimulation parameters; an indication of whether stimulation is currently ON or OFF in the simulated stimulation program; an identification of one or more electrodes that are currently stimulating in the simulated stimulation program; an identification of one or more leads that are currently stimulating in the simulated stimulation program; an identification of one or more electrodes that are configured to be enabled in the simulated stimulation program; an identification of one or more leads that are configured to be enabled in the simulated stimulation program; and/or impedance information indicating a measured impedance. In some embodiments, the simulated neurostimulator information may include treatment data about a simulated treatment history of a simulated patient.


In some embodiments, the trainer device may access a data store of the trainer device, wherein the data store comprises a plurality of errors. The trainer device may select the first error from the plurality of errors. The plurality of errors may be maintained in a predetermined order. The first error may be selected based on this predetermined order. Alternatively, the first error may be selected at random from the plurality of errors. In some embodiments, the plurality of errors may include: a low-battery condition indicating that a battery of the pulse generator is approaching a critically low level; a low-battery condition indicating that a battery of the NP is approaching a critically low level; a disconnected- or faulty-lead condition indicating that a lead may be disconnected or otherwise faulty; an excessive-temperature condition indicating that the simulated neurostimulator is above a respective threshold temperature; and/or an excessive-temperature condition indicating that the NP is above a respective threshold temperature.


In some embodiments, the trainer device may transmit a simulated second error information to the NP. The second error information may include an indication of a second error selected from the plurality of errors. The plurality of errors may be maintained in a predetermined order. The second error may be next in sequence based on the predetermined order from the first error, or may be selected at random.


In some embodiments, the trainer device (or the NP) may receive a mode-selection input for cycling between or among two or more pulse-generator modes, wherein the pulse-generator modes comprise an IPG mode and an EPG mode. The trainer device (or the NP) may select a respective pulse-generator mode associated with the received mode-selection input.


In some embodiments, the trainer device may receive a user input requesting an error simulation. In response to receiving the user input, the trainer device may transmit an instruction to the NP to display a simulation of the first error. In some embodiments, the NP may directly receive the user input, in which case the NP may display the error simulation without further instruction from the trainer device. In some embodiments, the trainer device may turn on an error indicator associated with the trainer device that indicates that an error is being simulated. The trainer device may evaluate a response-information corresponding to one or more user inputs to determine if the corresponding one or more user inputs resolve the first error. In response to determining that the corresponding one or more user inputs resolve the first error, the training device may turn off the error indicator. In some embodiments, the evaluation may be performed by the NP, in which case the NP may send an error-resolution information to the trainer device indicating that the first error has been resolved (if the NP determines that the one or more inputs resolve the error).


In some embodiments, one or more indicators on an interface of the trainer device may be turned on or off. The indicators may include: a stimulation indicator that indicates whether or not the NP has successfully sent a command to the trainer device to turn on patient stimulation; one or more pulse-generator mode indicators that indicate whether the simulation is simulating an IPG or an EPG; or one or more error indicators that indicate whether an error is being simulated.


In some embodiments, the trainer device may include circuitry that includes a first circuitry for simulating the one or more neurostimulators, and a second circuitry for simulating placement of a lead. The second circuitry may include a fixed load that may provide a known resistance. The first circuitry and the second circuitry may be housed on separate circuit boards that are not electrically coupled to each other.


In some embodiments, the trainer device may include a foramen needle stimulation cable and a ground electrode cable, wherein the foramen needle stimulation cable is configured to be connected to a first port of the NP, and wherein the ground electrode cable is configured to be connected to a second port of the NP. The trainer device may receive, at the second circuitry, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit comprising the foramen needle stimulation cable, the ground electrode cable, and the fixed load of the second circuitry. The trainer device (or the NP) may measure an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load. In embodiments where the trainer device measures the impedance, the trainer device may transmit, to the NP, information corresponding to the measured impedance.


In some embodiments, the trainer device may include a lead stimulation cable and a ground electrode cable, wherein the lead stimulation cable is configured to be connected to a first port of the NP, and wherein the ground electrode cable is configured to be connected to a second port of the NP. The trainer device may receive, at the second circuitry, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit comprising the lead stimulation cable, the ground electrode cable, and the fixed load of the second circuitry. The trainer device (or the NP) may measure an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load. In embodiments where the trainer device measures the impedance, the trainer device may transmit, to the NP, information corresponding to the measured impedance.


In some embodiments, a connection may be established between a trainer device and the NP. Circuitry of the trainer device may transmit information identifying a plurality of potential neurostimulators. Circuitry of the trainer device may receive, from the NP, information corresponding to a user selection input by a user. The user selection input may specify a particular one of the plurality of potential neurostimulators. Circuitry of the trainer device may select the particular one of the plurality of neurostimulators for simulation.


Further areas of applicability of the present disclosure will become apparent from the detailed description provided hereinafter. It should be understood that the detailed description and specific examples, while indicating various embodiments, are intended for purposes of illustration only and are not intended to necessarily limit the scope of the disclosure.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 schematically illustrates a nerve stimulation system, which includes a clinician programmer and a patient remote used in positioning and/or programming of both a trial neurostimulation system and a permanently implanted neurostimulation system, in accordance with aspects of the invention.



FIG. 2 illustrates an example of a fully implanted neurostimulation system in accordance with aspects of the invention.



FIG. 3 shows an example of a neurostimulation system having an implantable stimulation lead, an implantable pulse generator, and an external charging device, in accordance with aspects of the invention.



FIG. 4 illustrates an example of stimulation in a cycling mode, in which the duty cycle is the stimulation on time over the stimulation-on time plus the stimulation-off time.



FIG. 5 illustrates signal characteristics of a neurostimulation program, exhibiting a ramping feature.



FIG. 6 schematically illustrates a nerve stimulation system utilizing a control unit with a stimulation clip, a ground patch, two electromyography sensors, and ground patch sets connected during the operation of placing a trial or permanent neurostimulation system, in accordance with aspects of the invention.



FIG. 7 illustrates a schematic of a clinician programmer configuration.



FIG. 8 illustrates an example schematic of a printed circuit board assembly (PCBA) of a neurostimulator programmer including an example set of sensors disposed in example locations.



FIG. 9 illustrates an example embodiment of a trainer device showing the structure of a portable housing of the trainer device.



FIG. 10 illustrates an example diagram of the trainer device that is docked onto a NP.



FIG. 11 illustrates a schematic diagram of an example trainer device having separated first and second circuitry.



FIG. 12 illustrates an example method for simulating an error during a simulated neurostimulator programming session.



FIG. 13 illustrates an example method for simulating neurostimulation lead placement.





DETAILED DESCRIPTION OF THE INVENTION

The present invention relates to neurostimulation treatment systems and associated devices, as well as methods of treatment, implantation/placement and configuration of such treatment systems. In particular, the invention relates to sacral nerve stimulation treatment systems configured to treat overactive bladder (“OAB”) and relieve symptoms of bladder related dysfunction. It will be appreciated however that the present invention may also be utilized for the treatment of pain or other indications, such as movement or affective disorders, as will be appreciated by one of skill in the art.


I. Neurostimulation Indications


Neurostimulation treatment systems, such as any of those described herein, can be used to treat a variety of ailments and associated symptoms, such as acute pain disorders, movement disorders, affective disorders, as well as bladder related dysfunction. Examples of pain disorders that may be treated by neurostimulation include failed back surgery syndrome, reflex sympathetic dystrophy or complex regional pain syndrome, causalgia, arachnoiditis, and peripheral neuropathy. Movement orders include muscle paralysis, tremor, dystonia and Parkinson's disease. Affective disorders include depressions, obsessive-compulsive disorder, cluster headache, Tourette syndrome and certain types of chronic pain. Bladder related dysfunctions include but are not limited to OAB, urge incontinence, urgency-frequency, and urinary retention. OAB can include urge incontinence and urgency-frequency alone or in combination. Urge incontinence is the involuntary loss or urine associated with a sudden, strong desire to void (urgency). Urgency-frequency is the frequent, often uncontrollable urges to urinate (urgency) that often result in voiding in very small amounts (frequency). Urinary retention is the inability to empty the bladder. Neurostimulation treatments can be configured to address a particular condition by effecting neurostimulation of targeted nerve tissues relating to the sensory and/or motor control associated with that condition or associated symptom.


In one aspect, the methods and systems described herein are particularly suited for treatment of urinary and fecal dysfunctions. These conditions have been historically under-recognized and significantly underserved by the medical community. OAB is one of the most common urinary dysfunctions. It is a complex condition characterized by the presence of bothersome urinary symptoms, including urgency, frequency, nocturia and urge incontinence. It is estimated that about 33 million Americans suffer from OAB. Of the adult population, about 30% of all men and 40% of all women live with OAB symptoms.


OAB symptoms can have a significant negative impact on the psychosocial functioning and the quality of life of patients. People with OAB often restrict activities and/or develop coping strategies. Furthermore, OAB imposes a significant financial burden on individuals, their families, and healthcare organizations. The prevalence of co-morbid conditions is also significantly higher for patients with OAB than in the general population. Co-morbidities may include falls and fractures, urinary tract infections, skin infections, vulvovaginitis, cardiovascular, and central nervous system pathologies. Chronic constipation, fecal incontinence, and overlapping chronic constipation occur more frequently in patients with OAB.


Conventional treatments of OAB generally include lifestyle modifications as a first course of action. Lifestyle modifications include eliminating bladder irritants (such as caffeine) from the diet, managing fluid intake, reducing weight, stopping smoking, and managing bowel regularity. Behavioral modifications include changing voiding habits (such as bladder training and delayed voiding), training pelvic floor muscles to improve strength and control of urethral sphincter, biofeedback and techniques for urge suppression. Medications are considered a second-line treatment for OAB. These include anti-cholinergic medications (oral, transdermal patch, and gel) and oral beta-3 adrenergic agonists. However, anti-cholinergics are frequently associated with bothersome, systemic side effects including dry mouth, constipation, urinary retention, blurred vision, somnolence, and confusion. Studies have found that more than 50% of patients stop using anti-cholinergic medications within 90 days due to a lack of benefit, adverse events, or cost.


When these approaches are unsuccessful, third-line treatment options suggested by the American Urological Association include intradetrusor (bladder smooth muscle) injections of Botulinum Toxin (BoNT-A), Percutaneous Tibial Nerve Stimulation (PTNS) and Sacral Nerve Stimulation (SNM). BoNT-A (Botox®) is administered via a series of intradetrusor injections under cystoscopic guidance, but repeat injections of Botox are generally required every 4 to 12 months to maintain effect and Botox may undesirably result in urinary retention. A number or randomized controlled studies have shown some efficacy of BoNT-A in OAB patients, but long-term safety and effectiveness of BoNT-A for OAB is largely unknown.


Alternative treatment methods, typically considered when the above approaches prove ineffective, is neurostimulation of nerves relating to the urinary system. Such neurostimulation methods include PTNS and SNM. PTNS therapy consists of weekly, 30-minute sessions over a period of 12 weeks, each session using electrical stimulation that is delivered from a hand-held stimulator to the sacral plexus via the tibial nerve. For patients who respond well and continue treatment, ongoing sessions, typically every 3-4 weeks, are needed to maintain symptom reduction. There is potential for declining efficacy if patients fail to adhere to the treatment schedule. Efficacy of PTNS has been demonstrated in a few randomized-controlled studies, however, long-term safety and effectiveness of PTNS is relatively unknown at this time.


II. Sacral Neuromodulation


SNM is an established therapy that provides a safe, effective, reversible, and long-lasting treatment option for the management of urge incontinence, urgency-frequency, and non-obstructive urinary retention. SNM therapy involves the use of mild electrical pulses to stimulate the sacral nerves located in the lower back. Electrodes are placed next to a sacral nerve, usually at the S3 level, by inserting the electrode leads into the corresponding foramen of the sacrum. The electrodes are inserted subcutaneously and are subsequently attached to an implantable pulse generator (IPG). The safety and effectiveness of SNM for the treatment of OAB, including durability at five years for both urge incontinence and urgency-frequency patients, is supported by multiple studies and is well-documented. SNM has also been approved to treat chronic fecal incontinence in patients who have failed or are not candidates for more conservative treatments.


A. Implantation of Sacral Neuromodulation System


Currently, SNM qualification has a trial phase, and is followed if successful by a permanent implant. The trial phase is a test stimulation period where the patient is allowed to evaluate whether the therapy is effective. Typically, there are two techniques that are utilized to perform the test stimulation. The first is an office-based procedure termed percutaneous nerve evaluation and the other is a staged trial.


In percutaneous nerve evaluation, a foramen needle is typically used first to identify the optimal stimulation location, usually at the S3 level, and to evaluate the integrity of the sacral nerves. Motor and sensory responses are used to verify correct needle placement, as described in Table 1 below. A temporary stimulation lead (a unipolar electrode) is then placed near the sacral nerve under local anesthesia. This procedure can be performed in an office setting without fluoroscopy. The temporary lead is then connected to an external pulse generator (EPG) taped onto the skin of the patient during the trial phase. The stimulation level can be adjusted to provide an optimal comfort level for the particular patient. The patient will monitor his or her voiding for 3 to 7 days to see if there is any symptom improvement. The advantage of percutaneous nerve evaluation is that it is an incision free procedure that can be performed in the physician's office using local anesthesia. The disadvantage is that the temporary lead is not securely anchored in place and has the propensity to migrate away from the nerve with physical activity and thereby cause failure of the therapy. If a patient fails this trial test, the physician may still recommend the staged trial as described below. If the percutaneous nerve evaluation trial is positive, the temporary trial lead is removed and a permanent quadri-polar tined lead is implanted along with an IPG under general anesthesia.


A staged trial involves the implantation of the permanent quadri-polar tined stimulation lead into the patient from the start. It also requires the use of a foramen needle to identify the nerve and optimal stimulation location. The lead is implanted near the S3 sacral nerve and is connected to an EPG via a lead extension. This procedure is performed under fluoroscopic guidance in an operating room and under local or general anesthesia. The EPG is adjusted to provide an optimal comfort level for the patient and the patient monitors his or her voiding for up to two weeks. If the patient obtains meaningful symptom improvement, he or she is considered a suitable candidate for permanent implantation of the IPG under general anesthesia, typically in the upper buttock area, as shown in FIG. 2.


In regard to measuring outcomes for SNM treatment of voiding dysfunction, the voiding dysfunction indications (for example, urge incontinence, urgency-frequency, and non-obstructive urinary retention) are evaluated by unique primary voiding diary variables. The therapy outcomes are measured using these same variables. SNM therapy is considered successful if a minimum of 50% improvement occurs in any of primary voiding diary variables compared with the baseline. For urge incontinence patients, these voiding diary variables may include: number of leaking episodes per day, number of heavy leaking episodes per day, and number of pads used per day. For patients with urgency-frequency, primary voiding diary variables may include: number of voids per day, volume voided per void and degree of urgency experienced before each void. For patients with retention, primary voiding diary variables may include: catheterized volume per catheterization and number of catheterizations per day.


The mechanism of action of SNM is multifactorial and impacts the neuro-axis at several different levels. In patients with OAB, it is believed that pudendal afferents can activate the inhibitory reflexes that promote bladder storage by inhibiting the afferent limb of an abnormal voiding reflex. This blocks input to the pontine micturition center, thereby restricting involuntary detrusor contractions without interfering with normal voiding patterns. For patients with urinary retention, SNM is believed to activate the pudendal nerve afferents originating from the pelvic organs into the spinal cord. At the level of the spinal cord, pudendal afferents may turn on voiding reflexes by suppressing exaggerated guarding reflexes, thus relieving symptoms of patients with urinary retention so normal voiding can be facilitated. In patients with fecal incontinence, it is hypothesized that SNM stimulates pudendal afferent somatic fibers that inhibit colonic propulsive activity and activates the internal anal sphincter, which in turn improves the symptoms of fecal incontinence patients. The present invention relates to a system adapted to deliver neurostimulation to targeted nerve tissues in a manner that disrupt, inhibit, or prevent neural activity in the targeted nerve tissues so as to provide therapeutic effect in treatment of OAB or bladder related dysfunction. In one aspect, the system is adapted to provide therapeutic effect by neurostimulation without inducing motor control of the muscles associated with OAB or bladder related dysfunction by the delivered neurostimulation. In another aspect, the system is adapted to provide such therapeutic effect by delivery of sub-threshold neurostimulation below a threshold that induces paresthesia and/or neuromuscular response or to allow adjustment of neurostimulation to delivery therapy at sub-threshold levels.


B. Positioning Neurostimulation Leads with EMG


Placement of the neurostimulation lead may require localization of the targeted nerve and subsequent positioning of the neurostimulation lead at the target location. Various ancillary components are used for localization of the target nerve and subsequent implantation of the lead and IPG. Such components may include a foramen needle and a stylet, a directional guide, dilator and an introducer sheath, straight or curved tip stylet (inserted in tined leads), tunneling tools (a bendable tunneling rod with sharp tip on one end and a handle on the other with a transparent tubing over the tunneling rod) and often an over-the-shelf torque wrench. The foramen needle and stylet may be used for locating the correct sacral foramen for implant lead and subsequent acute stimulation testing. The physician may locate the targeted nerve by inserting a foramen needle and energizing a portion of needle until a neuromuscular response is observed that is indicative of neurostimulation in the target area (see Table 1 above). After the target nerve is successfully located, the direction guide, introducer and dilator may be used to prepare a path along which the lead can be implanted. The directional guide is a metal rod that holds the position in the sacral foramen determined with the foramen needle for subsequent placement of the introducer sheath and dilator. The introducer sheath and dilator is a tool that increases the diameter of the hole through the foramen to allow introduction of the permanent lead. The lead stylet is a stiff wire that is inserted into the lead to increase its stiffness during lead placement and may be configured with a straight or curved tip. The torque wrench is a small wrench used to tighten the set screw that locks the lead into the IPG. The tunneling tool is a stiff, sharp device that creates a subcutaneous tunnel, allowing the lead to be placed along a path under the skin. While such approaches have sufficed for many conventional treatments, such approaches often lack resolution and may result in sub-optimal lead placement, which may unnecessarily complicate subsequent programming and result in unfavorable patient outcomes. Thus, an approach that provides more accurate and robust neural localization while improving ease of use by the physician and the patient.


Neurostimulation relies on consistently delivering therapeutic stimulation from a pulse generator, via one or more neurostimulation electrodes, to particular nerves or targeted regions. The neurostimulation electrodes are provided on a distal end of an implantable lead that can be advanced through a tunnel formed in patient tissue. Implantable neurostimulation systems provide patients with great freedom and mobility, but it may be easier to adjust the neurostimulation electrodes of such systems before they are surgically implanted. It is desirable for the physician to confirm that the patient has desired motor and/or sensory responses before implanting an IPG. For at least some treatments (including treatments of at least some forms of urinary and/or fecal dysfunction), demonstrating appropriate motor responses may be highly beneficial for accurate and objective lead placement while the sensory response may not be required or not available (for example, patient is under general anesthesia).


Placement and calibration of the neurostimulation electrodes and implantable leads sufficiently close to specific nerves can be beneficial for the efficacy of treatment. Accordingly, aspects and embodiments of the present disclosure are directed to aiding and refining the accuracy and precision of neurostimulation electrode placement. Further, aspects and embodiments of the present disclosure are directed to aiding and refining protocols for setting therapeutic treatment signal parameters for a stimulation program implemented through implanted neurostimulation electrodes.


Prior to implantation of the permanent device, patients may undergo an initial testing phase to estimate potential response to treatment. As discussed above, percutaneous nerve evaluation may be done under local anesthesia, using a test needle to identify the appropriate sacral nerve(s) according to a subjective sensory response by the patient. Other testing procedures can involve a two-stage surgical procedure, where a quadri-polar tined lead is implanted for a testing phase to determine if patients show a sufficient reduction in symptom frequency, and if appropriate, proceeding to the permanent surgical implantation of a neuromodulation device. For testing phases and permanent implantation, determining the location of lead placement can be dependent on subjective qualitative analysis by either or both of a patient or a physician.


In exemplary embodiments, determination of whether or not an implantable lead and neurostimulation electrode is located in a desired or correct location can be accomplished through use of electromyography (“EMG”), also known as surface electromyography. EMG, is a technique that uses an EMG system or module to evaluate and record electrical activity produced by muscles, producing a record called an electromyogram. EMG detects the electrical potential generated by muscle cells when those cells are electrically or neurologically activated. The signals can be analyzed to detect activation level or recruitment order. EMG can be performed through the skin surface of a patient, intramuscularly or through electrodes disposed within a patient near target muscles, or using a combination of external and internal structures. When a muscle or nerve is stimulated by an electrode, EMG can be used to determine if the related muscle is activated, (i.e. whether the muscle fully contracts, partially contracts, or does not contract) in response to the stimulus. Accordingly, the degree of activation of a muscle can indicate whether an implantable lead or neurostimulation electrode is located in the desired or correct location on a patient. Further, the degree of activation of a muscle can indicate whether a neurostimulation electrode is providing a stimulus of sufficient strength, amplitude, frequency, or duration to affect a treatment regimen on a patient. Thus, use of EMG provides an objective and quantitative means by which to standardize placement of implantable leads and neurostimulation electrodes, reducing the subjective assessment of patient sensory responses.


In some approaches, positional titration procedures may optionally be based in part on a paresthesia or pain-based subjective response from a patient. In contrast, EMG triggers a measureable and discrete muscular reaction. As the efficacy of treatment often relies on precise placement of the neurostimulation electrodes at target tissue locations and the consistent, repeatable delivery of neurostimulation therapy, using an objective EMG measurement can substantially improve the utility and success of SNM treatment. The measurable muscular reaction can be a partial or a complete muscular contraction, including a response below the triggering of an observable motor response, such as those shown in Table 1, depending on the stimulation of the target muscle. In addition, by utilizing a trial system that allows the neurostimulation lead to remain implanted for use in the permanently implanted system, the efficacy and outcome of the permanently implanted system is more consistent with the results of the trial period, which moreover leads to improved patient outcomes.


C. Example Embodiments of Neurostimulation Systems



FIG. 1 schematically illustrates an exemplary nerve stimulation system, which includes both a trial neurostimulation system 200 and a permanently implanted neurostimulation system 100, in accordance with aspects of the invention. The EPG 80 and IPG 10 are each compatible with and wirelessly communicate with a clinician programmer 60 and a patient remote 70, which are used in positioning and/or programming the trial neurostimulation system 200 and/or permanently implanted system 100 after a successful trial. As discussed above, the clinician programmer can include specialized software, specialized hardware, and/or both, to aid in lead placement, programming, re-programming, stimulation control, and/or parameter setting. In addition, each of the IPG and the EPG allows the patient at least some control over stimulation (for example, initiating a pre-set program, increasing or decreasing stimulation), and/or to monitor battery status with the patient remote. This approach also allows for an almost seamless transition between the trial system and the permanent system.


In one aspect, the clinician programmer 60 is used by a physician to adjust the settings of the EPG and/or IPG while the lead is implanted within the patient. The clinician programmer can be a tablet computer used by the clinician to program the IPG, or to control the EPG during the trial period. The clinician programmer can also include capability to record stimulation-induced electromyograms to facilitate lead placement and programming. The patient remote 70 can allow the patient to turn the stimulation on or off, or to vary stimulation from the IPG while implanted, or from the EPG during the trial phase.


In another aspect, the clinician programmer 60 has a control unit which can include a microprocessor and specialized computer-code instructions for implementing methods and systems for use by a physician in deploying the treatment system and setting up treatment parameters. The clinician programmer generally includes a user interface which can be a graphical user interface, an EMG module, electrical contacts such as an EMG input that can couple to an EMG output stimulation cable, an EMG stimulation signal generator, and a stimulation power source. The stimulation cable can further be configured to couple to any or all of an access device (for example, a foramen needle), a treatment lead of the system, or the like. The EMG input may be configured to be coupled with one or more sensory patch electrode(s) for attachment to the skin of the patient adjacent a muscle (for example, a muscle enervated by a target nerve). Other connectors of the clinician programmer may be configured for coupling with an electrical ground or ground patch, an electrical pulse generator (for example, an EPG or an IPG), or the like. As noted above, the clinician programmer can include a module with hardware and computer-code to execute EMG analysis, where the module can be a component of the control unit microprocessor, a pre-processing unit coupled to or in-line with the stimulation and/or sensory cables, or the like.


In some aspects, the clinician programmer is configured to operate in combination with an EPG when placing leads in a patient body. The clinician programmer can be electronically coupled to the EPG during test simulation through a specialized cable set. The test simulation cable set can connect the clinician programmer device to the EPG and allow the clinician programmer to configure, modify, or otherwise program the electrodes on the leads connected to the EPG.


In other aspects, the clinician programmer 60 allows the clinician to read the impedance of each electrode contact whenever the lead is connected to an EPG, an IPG or a clinician programmer 60 to ensure reliable connection is made and the lead is intact. This may be used as an initial step in both positioning the lead and in programming the leads to ensure the electrodes are properly functioning. The clinician programmer 60 is also able to save and display previous (for example, up to the last four) programs that were used by a patient to help facilitate re-programming. In some embodiments, the clinician programmer 60 further includes a USB port for saving reports to a USB drive and a charging port. The clinician programmer 60 is configured to operate in combination with an EPG when placing leads in a patient body as well with the IPG during programming. The clinician programmer 60 can be electronically coupled to the EPG during test simulation through a specialized cable set or through wireless communication, thereby allowing the clinician programmer 60 to configure, modify, or otherwise program the electrodes on the leads connected to the EPG. The clinician programmer 60 may also include physical on/off buttons to turn the clinician programmer 60 on and off and/or to turn stimulation on and off.


The electrical pulses generated by the EPG and IPG are delivered to one or more targeted nerves via one or more neurostimulation electrodes at or near a distal end of each of one or more leads. The leads can have a variety of shapes, can be a variety of sizes, and can be made from a variety of materials, which size, shape, and materials can be tailored to the specific treatment application. While in this embodiment, the lead is of a suitable size and length to extend from the IPG and through one of the foramen of the sacrum to a targeted sacral nerve, in various other applications, the leads may be, for example, implanted in a peripheral portion of the patient's body, such as in the arms or legs, and can be configured to deliver electrical pulses to the peripheral nerve such as may be used to relieve chronic pain. It is appreciated that the leads and/or the stimulation programs may vary according to the nerves being targeted.



FIG. 2 schematically illustrates an example of a fully implanted neurostimulation system 100 adapted for sacral nerve stimulation. Neurostimulation system 100 includes an IPG implanted in a lower back region and connected to a neurostimulation lead extending through the S3 foramen for stimulation of the S3 sacral nerve. The lead is anchored by a tined anchor portion 30 that maintains a position of a set of neurostimulation electrodes 40 along the targeted nerve, which in this example, is the anterior sacral nerve root S3 which enervates the bladder so as to provide therapy for various bladder related dysfunctions. While this embodiment is adapted for sacral nerve stimulation, it is appreciated that similar systems can be used in treating patients with, for example, chronic, severe, refractory neuropathic pain originating from peripheral nerves or various urinary dysfunctions or still further other indications. Implantable neurostimulation systems can be used to either stimulate a target peripheral nerve or the posterior epidural space of the spine.


Properties of the electrical pulses can be controlled via a controller of the implanted pulse generator. In some embodiments, these properties can include, for example, the frequency, strength, pattern, duration, or other aspects of the electrical pulses. These properties can include, for example, a voltage, a current, or the like. This control of the electrical pulses can include the creation of one or more electrical pulse programs, plans, or patterns, and in some embodiments, this can include the selection of one or more pre-existing electrical pulse programs, plans, or patterns. In the embodiment depicted in FIG. 2, the implantable neurostimulation system 100 includes a controller in the IPG having one or more pulse programs, plans, or patterns that may be pre-programmed or created as discussed above. In some embodiments, these same properties associated with the IPG may be used in an EPG of a partly implanted trial system used before implantation of the permanent neurostimulation system 100.


In one aspect, the EPG unit is wirelessly controlled by a patient remote and/or the clinician programmer in a similar or identical manner as the IPG of a permanently implanted system. The physician or patient may alter treatment provided by the EPG through use of such portable remotes or programmers and the treatments delivered are recorded on a memory of the programmer for use in determining a treatment suitable for use in a permanently implanted system. The clinician programmer can be used in lead placement, programming and/or stimulation control in each of the trial and permanent nerve stimulation systems. In addition, each nerve stimulation system allows the patient to control stimulation or monitor battery status with the patient remote. This configuration is advantageous as it allows for an almost seamless transition between the trial system and the permanent system. From the patient's viewpoint, the systems will operate in the same manner and be controlled in the same manner, such that the patient's subjective experience in using the trial system more closely matches what would be experienced in using the permanently implanted system. Thus, this configuration reduces any uncertainties the patient may have as to how the system will operate and be controlled such that the patient will be more likely to convert a trial system to a permanent system.



FIG. 3 illustrates an example neurostimulation system 100 that is fully implantable and adapted for sacral nerve stimulation treatment. The implantable system 100 includes an IPG 10 that is coupled to a neurostimulation lead 20 that includes a group of neurostimulation electrodes 40 at a distal end of the lead. The lead includes a lead anchor portion 30 with a series of tines extending radially outward so as to anchor the lead and maintain a position of the neurostimulation lead 20 after implantation. The lead 20 may further include one or more radiopaque markers 25 to assist in locating and positioning the lead using visualization techniques such as fluoroscopy. In some embodiments, the IPG provides monopolar or bipolar electrical pulses that are delivered to the targeted nerves through one or more neurostimulation electrodes, typically four electrodes. In sacral nerve stimulation, the lead is typically implanted through the S3 foramen as described herein.


In one aspect, the IPG is rechargeable wirelessly through conductive coupling by use of a charging device 50 (CD), which is a portable device powered by a rechargeable battery to allow patient mobility while charging. The CD is used for transcutaneous charging of the IPG through RF induction. The CD can either be either patched to the patient's skin using an adhesive or can be held in place using a belt 53 or by an adhesive patch 52, such as shown in the schematic of FIG. 6. The CD may be charged by plugging the CD directly into an outlet or by placing the CD in a charging dock or station 51 that connects to an AC wall outlet or other power source.


The system may further include a patient remote 70 and clinician programmer 60, each configured to wirelessly communicate with the implanted IPG, or with the EPG during a trial, as shown in the schematic of the nerve stimulation system in FIG. 6. The clinician programmer 60 may be a tablet computer used by the clinician to program the IPG and the EPG. The device also has the capability to record stimulation-induced electromyograms (EMGs) to facilitate lead placement, programming, and/or re-programming. The patient remote may be a battery-operated, portable device that utilizes radio-frequency (RF) signals to communicate with the EPG and IPG and allows the patient to adjust the stimulation levels, check the status of the IPG battery level, and/or to turn the stimulation on or off.


One or more of the pulse generators can include a processor and/or memory adapted to provide instructions to and receive information from the other components of the implantable neurostimulation system. The processor can include a microprocessor, such as a commercially available microprocessor from Intel® or Advanced Micro Devices, Inc.®, or the like. An IPG may include an energy storage feature, such as one or more capacitors, and typically includes a wireless charging unit.


One or more properties of the electrical pulses can be controlled via a controller of the IPG or EPG. In some embodiments, these properties can include, for example, the frequency, strength, pattern, duration, or other aspects of the timing and magnitude of the electrical pulses. These properties can further include, for example, a voltage, a current, or the like. This control of the electrical pulses can include the creation of one or more electrical pulse programs, plans, or patterns, and in some embodiments, this can include the selection of one or more pre-existing electrical pulse programs, plans, or patterns. In one aspect, the IPG 10 includes a controller having one or more pulse programs, plans, or patterns that may be created and/or pre-programmed. In some embodiments, the IPG can be programmed to vary stimulation parameters including pulse amplitude in a range from 0 mA to 10 mA, pulse width in a range from 50 μs to 500 μs, pulse frequency in a range from 5 Hz to 250 Hz, stimulation modes (for example, continuous or cycling), and electrode configuration (for example, anode, cathode, or off), to achieve the optimal therapeutic outcome specific to the patient. In particular, this allows for an optimal setting to be determined for each patient even though each parameter may vary from person to person.



FIG. 4 shows an example of stimulation in a cycling mode, in which the duty cycle is the stimulation on time over the stimulation-on time plus the stimulation-off time. In some embodiments, the IPG, as well as the EPG, may be configured for example with two stimulation modes: continuous mode and cycling mode, such as shown in FIG. 4. The cycling mode may save energy in comparison to the continuous mode, thereby extending the recharge interval of the battery and lifetime of the device. The cycling mode may also help reduce the risk of neural adaptation for some patients. Neural adaptation is a change over time in the responsiveness of the neural system to a constant stimulus. Thus, cycling mode may also mitigate neural adaptation so to provide longer-term therapeutic benefit.


In some embodiments, the IPG/EPG is configured with a ramping feature, such as shown in the example of FIG. 5. In these embodiments, the stimulation signal is ramped up and/or down between the stimulation-on and stimulation-off levels. This feature helps reduce the sudden “jolting” or “shocking” sensation that some patients might experience when the stimulation is initially turned on or at the cycle-on phase during the cycling mode. This feature is particularly of benefit for patients who need relative high stimulation settings and/or for patients who are sensitive to electrical stimulation.



FIG. 6 shows a setup for a test stimulation and EMG sensing using a clinician programmer 60. As discussed above, the clinician programmer 60 is a tablet computer with software that runs on a standard operating system. The clinician programmer 60 includes a communication module, a stimulation module and an EMG sensing module. The communication module communicates with the IPG and/or EPG in the medical implant communication service frequency band for programming the IPG and/or EPG.


In order to confirm correct lead placement, it is desirable for the physician to confirm that the patient has both adequate motor and sensory responses before transitioning the patient into the staged trial phase or implanting the permanent IPG. However, sensory response is a subjective evaluation and may not always be available, such as when the patient is under general anesthesia. Experiments have shown that demonstrating appropriate motor responses is advantageous for accurate placement, even if sensory responses are available. As discussed above, EMG is a tool which records electrical activity of skeletal muscles. This sensing feature provides an objective criterion for the clinician to determine if the sacral nerve stimulation results in adequate motor response rather than relying solely on subjective sensory criteria. EMG can be used not only to verify optimal lead position during lead placement, but also to provide a standardized and more accurate approach to determine electrode thresholds, which in turn provides quantitative information supporting electrode selection for programming. Using EMG to verify activation of motor responses can further improve the lead placement performance of less experienced operators and allow such physicians to perform lead placement with confidence and greater accuracy.


In one aspect, the system is configured to have EMG sensing capability during re-programming, which can be particularly valuable. Stimulation levels during re-programming are typically low to avoid patient discomfort which often results in difficult generation of motor responses. Involuntary muscle movement while the patient is awake may also cause noise that is difficult for the physician to differentiate. In contrast to conventional approaches, EMG allows the clinician to detect motor responses at very low stimulation levels (for example, sub-threshold), and help them distinguish a motor response originated by sacral nerve stimulation from involuntary muscle movement.


Referring to FIG. 6, several cable sets are connected to the CP. The stimulation cable set consists of one stimulation mini-clip 3 and one ground patch 5. It is used with a foramen needle 1 to locate the sacral nerve and verify the integrity of the nerve via test stimulation. Another stimulation cable set with four stimulation channels 2 is used to verify the lead position with a tined stimulation lead 20 during the staged trial. Both cable sets are sterilizable as they will be in the sterile field. A total of five over-the-shelf sensing electrode patches 4 (for example, two sensing electrode pairs for each sensing spot and one common ground patch) are provided for EMG sensing at two different muscle groups (for example, perineal musculature and big toe) simultaneously during the lead placement procedure. This provides the clinician with a convenient all-in-one setup via the EMG integrated clinician programmer. Typically, only one electrode set (for example, two sensing electrodes and one ground patch) is needed for detecting an EMG signal on the big toe during an initial electrode configuration and/or re-programming session. Typically, these over-the-shelf EMG electrodes are also provided sterile though not all cables are required to be connected to the sterile field. The clinician programmer 60 may allow the clinician to read the impedance of each electrode contact whenever the lead is connected to an EPG, an IPG or a clinician programmer to ensure reliable connection is made and the lead is intact. The clinician programmer 60 is also able to save and display previous (for example, up to the last four) programs that were used by a patient to help facilitate re-programming. In some embodiments, the clinician programmer 60 further includes a USB port for saving reports to a USB drive and a charging port. The clinician programmer may also include physical on/off buttons to turn the clinician programmer on and off and/or to turn stimulation on and off.



FIG. 7 schematically illustrates a block diagram of the configuration of the CP 60 and associated interfaces and internal components. As described above, CP 60 is typically a tablet computer with software that runs on a standard operating system. The CP 60 includes a communication module, a stimulation module and an EMG sensing module. The communication module communicates with the IPG and/or EPG in the medical implant communication service frequency band for programming the IPG and/or EPG. While this configuration reflects a portable user interface display device, such as a tablet computer, it is appreciated that the CP may be incorporated into various other types of computing devices, such as a laptop, desktop computer, or a standalone terminal for use in a medical facility.



FIG. 8 illustrates an example schematic of a printed circuit board assembly (PCBA) of a neurostimulator programmer including an example set of sensors disposed in example locations. In some embodiments, the PCBA may include a CPU sensor 815 that may be at or near a CPU 810. The CPU sensor 815 may be located such that it is suited for detecting heat generated by the CPU 810. In some embodiments, the PCBA may include a display sensor 825 that may be at or near one or more backlight components (for example, LCD backlight components 820) of the neurostimulator programmer. The backlight components may include, for example, an inverter and/or LEDs of the backlight. The display sensor 825 may be located such that it is suited for detecting heat generated by the display. In some embodiments, the PCBA may include a charger sensor 835 that may be at or near a charging module (for example, the battery charger chip 830). The charger sensor 835 may be located such that it is suited for detecting heat generated by the charging module as it, for example, steps down voltage, as described elsewhere herein. In some embodiments, the PCBA may include a battery sensor 845 that may be at or near a battery pack 840. The battery pack 840 may include one battery or several batteries that may be coupled together. The battery sensor 845 may be located such that it is suited for detecting heat generated by the charging or discharging of the battery pack 840 or components thereof. Although FIG. 8 illustrates a configuration that includes four different types of sensors (the CPU sensor 815, the display sensor 825, the charger sensor 835, and the battery sensor 845), this disclosure contemplates any number or combination of these types of sensors and/or any other suitable types of sensors. Moreover, although FIG. 8 illustrates only one sensor of each type (for example, only one battery sensor 845, only one display sensor 825) this disclosure contemplates that any suitable number of such sensors may be incorporated into the PCBA. For example, in a case where the battery pack includes four different batteries, there may be a battery sensor 845 adjacent to each of the four different batteries.


III. Trainer for a Neurostimulator Programmer (NP)


In some embodiments, a neurostimulator programmer (NP) may be provided for programming a neurostimulator. The NP may be, for example, the clinician programmer 60, which may be used by a clinician or another suitable operator to program or adjust parameters of one or more neurostimulators. In some embodiments, the programmer may be a patient programmer. The NP may be used to communicate wirelessly with and control either an EPG or an IPG. Alternatively or additionally, the programmer may communicate over a wired connection with the EPG or IPG. Programming a neurostimulator and ensuring proper placement of leads is a complex task that may require extensive hands-on training on the part of a clinician or an instructor (such as an employee of the manufacturer, who may be commissioned to train the clinician). Simply reading a manual for viewing training videos may not provide adequate training. For example, programming a neurostimulator in the real world may involve dealing in real-time with a series of faults or errors that may occur during implantation or programming. As such, a trainer device that may realistically simulate tasks related to the programming of an EPG or IPG is provided for training a user, who may be, for example, a clinician or an instructor. The trainer device may also simulate tasks related to the implantation of leads. For example, the trainer device may simulate one or more checks that may need to be performed to ensure that proper lead placement has occurred. The trainer device may offer an intuitive, easy-to-use means of training users, providing a stimulation that provides conditions very close to what the user would expect in real-world situations. Furthermore, the trainer device may offer an affordable means of training. Neurostimulator devices such as EPGs and IPGs are by their nature expensive. As such, training users directly with these devices (for example, by connecting the NP to an EPG) is essentially infeasible in many cases, particularly when there are a large number of users to be trained. The trainer device may be manufactured relatively cheaply with simpler components, and may thus offer a cheaper alternative to using expensive EPGs and IPGs for training purposes. The resulting low-cost training system may be sufficiently available such that a larger number of clinicians or instructors may be able to have access to practical training for longer periods of time. Although the disclosure focuses on training clinicians and instructors of clinicians, the disclosure contemplates training devices such as the ones disclosed herein for training patients. For example, the NP may be a patient remote 70.



FIG. 9 illustrates an example embodiment of a trainer device 900 showing the structure of a portable housing 902 of the trainer device 900. In some embodiments, the portable housing 902 may have one or more exterior surfaces including one or more interface surfaces. For example, it may have an interface surface on a top side of the exterior surface (this top side is displayed in the example embodiment illustrated in FIG. 9). This interface surface may include one or more switches. For example, the interface surface may include the switch 920, which may be an ON/OFF button that turns the device on or off when pressed or held (for example, turning the device on when pressed and turning the device of when held down for a threshold period of time). Additionally or alternatively, the switch 920 may, for example, be used to cycle between different pulse-generator modes. For example, while the trainer device 900 is on, pressing the switch 920 may cause the trainer device 902 to cycle between an EPG mode and an IPG mode. In some embodiments, the interface surface may include one or more indicators, which may be for example, LEDs or some other suitable light source. For example, the interface surface may include the stimulation indicator 910, which may be a flashing LED that turns on when the NP successfully sends a command to the trainer device 900 to turn on patient stimulation. The LED may turn off when NP sends a command to turn off emulation. As another example, the interface surface may include the IPG indicator 916 which may turn on when the trainer device is turned on and in IPG mode. As another example, the interface surface may include the EPG indicator 914, which may turn on when the trainer device is turned on and in EPG mode. As another example, the interface surface may include a single mode indicator that indicates a current pulse-generator mode (for example, a single indicator that indicates whether the trainer device is in IPG mode or EPG mode). In some embodiments, the interface surface may include an element that is both a switch and an indicator. For example, the interface surface may include the error element 912, which may be an indicator that turns on when a fault status or error is being simulated, as well as a button that may be used to cause the simulation of an error. In this example, the trainer device 900 may send an instruction to the NP to display a simulation of a fault or error. For example, the user may press the error element 912, which may cause the stimulation of a preprogrammed fault. The user may take an appropriate action on the NP to clear the fault or error. If the user action is deemed appropriate, the indicator of the error element 912 may be turned off. In some embodiments, the interface surface may include an element for switching between different simulated stimulation modes (for example, continuous mode and cycling mode).


In some embodiments, the trainer device 900 may be configured to be docked onto a NP. FIG. 10 illustrates an example diagram of the trainer device 900 that is docked onto a NP 1010. For example, as shown in FIG. 10, the portable housing 902 of the trainer device 900 may be shaped such that it conforms to a curvature of the NP 1010 (for example, a clinician programmer 60). In some embodiments, the trainer device 900 may include one or more retention pins 904 (for example, as shown in FIG. 9) which may be configured to be fitted into one or more open ports of the NP 1010, or otherwise affixed to the NP 1010, to assist in securing the trainer device 900 to the NP 1010.


In some embodiments, the trainer device 900 may be used to provide a simulation of a neurostimulator programming session. In some embodiments, the user may engage with the simulation via an interface surface of the trainer device 900 and/or a display. The display may be, for example, a display associated with the NP or a display of the trainer device 900 (for example, one that is coupled to the trainer device 900). The display may present a variety of information that may be available to a clinician while programming or monitoring an IPG or EPG in a real-world situation. For example, the display may present a simulated current battery information of a simulated IPG or EPG (for example, voltage, capacity, etc.), status information related to a simulated stimulation program (for example, whether stimulation is on or off, stimulation parameters, an identification of the electrodes and/or leads that are currently stimulating as part of the simulation, an identification of the electrodes and/or leads configured to be enabled in the simulated stimulation program), or impedance information (for example, a simulated impedance provided by tissue around a lead in a real-world situation). The display may also provide information to the user that may require a user action. For example, the display may present one or more simulated faults or errors that may need to be solved by an appropriate action by the user.


In some embodiments, the trainer device 900 may be coupled to a NP. In some embodiments, the NP may be wirelessly coupled (for example, using a wireless network, Bluetooth, near field communication, far field communication) directly or indirectly to the NP. In some embodiments, the user may be able to initiate communication between the trainer device 900 and the NP. For example, the user may be able to “discover” the trainer device 900 on the NP when it is in range (for example, the user may receive a prompt on a display of the NP that the trainer device 900 is in range) and turned on, and may be able to initiate a connection to the trainer device 900 using the NP. As another example, the user may be able to actuate a switch on the trainer device 900, which may cause the trainer device 900 to automatically couple to the NP if it is in range, or send a connection prompt to the NP which may be accepted by the user. The trainer device and the NP may negotiate and establish a connection by any suitable protocols. In other embodiments, the NP may be coupled to the NP via a wired connection.


In some embodiments, the trainer device 900 may transmit simulated neurostimulator information to the NP as part of a simulation of a particular neurostimulator. In some embodiments, the simulated neurostimulator information may include battery information of the simulated neurostimulator. In some embodiments, the simulated neurostimulator information may include one or more stimulation parameters. In some embodiments, the simulated neurostimulator information may include information associated with one or more leads. In some embodiments the simulated neurostimulator information may include simulated current information related to a simulated stimulation program. That is, the simulated current information may include current information corresponding to a stimulation program that is currently ongoing. For example, the simulated current information may include values corresponding to one or more current stimulation parameters; an indication of whether stimulation is currently ON or OFF in the simulated stimulation program; an identification of one or more electrodes that are currently stimulating in the simulated stimulation program; an identification of one or more leads that are currently stimulating in the simulated stimulation program; an identification of one or more electrodes that are configured to be enabled in the simulated stimulation program; an identification of one or more leads that are configured to be enabled in the simulated stimulation program; and/or impedance information indicating a measured impedance. In some embodiments, the simulated neurostimulator information may include treatment data about a simulated treatment history of a simulated patient.


In some embodiments, the trainer device 900 may be configured to simulate a plurality of neurostimulators (for example, neurostimulators of different models and/or manufacturers). In some embodiments, a user of the trainer device 900 may be able to select a particular one of the plurality of neurostimulators to train for that particular neurostimulator. In some embodiments, the selection may be made prior to initiation of a connection between the trainer device 900 and the NP. For example, when the trainer device 900 is in range and turned on, the trainer device 900 may transmit to the NP information identifying a plurality of potential neurostimulators that may be simulated. The user may be presented (for example, on a display of the NP) with a prompt that lists the plurality of potential neurostimulators that may be simulated by the trainer device 900. In this example, the user may submit a selection input at the NP, selecting a particular one of the plurality of potential neurostimulators for training. The NP may then initiate a protocol for connecting to the trainer device 900. The protocol may include a transmission of information corresponding to the user selection to the trainer device 900. In response, the trainer device 900 may negotiate and establish a connection with the NP. From that point on and until instructed otherwise, the trainer device 900 may simulate the particular one of the plurality of potential neurostimulators. In some embodiments, the selection may be made after the connection between the trainer device and the NP is established. For example, the trainer device 900 may transmit to the NP information identifying a plurality of potential neurostimulators that may be simulated after the connection is established. The user may be presented with an initialization prompt that may list the plurality of potential neurostimulators that can be simulated. The initialization prompt may further request that the user select a particular one of the plurality of potential neurostimulators. In this example, the user may submit a selection input at the NP, selecting a particular one of the plurality of potential neurostimulators for training. The NP may transmit information corresponding to the user selection to the trainer device 900. In response, the trainer device 900 may, from that point on and until instructed otherwise, simulate the particular one of the plurality of potential neurostimulators. In particular embodiments, the plurality of potential neurostimulators may be updated at any time via a software update or patch of the trainer device 900. This may be advantageous, for example, because the trainer device 900 may be kept up-to-date and relevant as new models of neurostimulators are developed. In particular embodiments, the plurality of potential neurostimulators may include a plurality of IPGs and/or a plurality of EPGs. In particular embodiments, an interface surface the trainer device 900 may include one or more physical switches or buttons for selecting particular neurostimulators to simulate. For example, an interface surface of the trainer device 900 may include a first button that is dedicated to a first neurostimulator model and the second button that is dedicated to a second neurostimulator model. As another example interface surface of the trainer device 900 may include one or more cycling buttons for cycling through a sequence of different neurostimulator models that may be selected.


In some embodiments, the trainer device 900 may transmit a simulated first error information to the NP. The first error information may include an indication of a first error selected from a plurality of errors. In some embodiments, the plurality of errors may be stored within a data store of the trainer device 900. In some embodiments, the trainer device 900 may access this data store, select the first error, and transmit information about the first error to the NP. In some embodiments, the plurality of errors may be maintained (for example, within the data store of the trainer device 900) in a predetermined order. In these embodiments, the first error may be selected based on the predetermined order. Alternatively, the first error may be selected randomly or pseudo-randomly from the plurality of errors.


In some embodiments, the plurality of errors may include, for example: a low-battery condition indicating that a battery of the pulse generator is approaching a critically low level; a low-battery condition indicating that a battery of the NP is approaching a critically low level; a disconnected- or faulty-lead condition indicating that a lead may be disconnected or otherwise faulty; an excessive-temperature condition indicating that the simulated neurostimulator is above a respective threshold temperature; and/or an excessive-temperature condition indicating that the NP is above a respective threshold temperature.


In some embodiments, the trainer device 900 may transmit an instruction to the NP to display a simulation of an error (for example, the first error). In some embodiments, in response to receiving this instruction, the NP may cause an associated display to, for example, display an indication associated with the error. For example, it may display a message or warning corresponding to the error. Such a message or warning may be identical to or similar to a message or warning that may be displayed in response to a real (that is, non-simulated) error. In some embodiments, the trainer device 900 may also turn on an error indicator (for example, the error element 912) to indicate that an error is being simulated.


In some embodiments, the trainer device 900 may receive a response-information from the NP corresponding to one or more user inputs entered by a user to resolve the first error. In some embodiments, the NP may be configured to receive one or more response-inputs (for example, a user input) from a user in response to the simulation of a particular error. In some embodiments, the response-inputs may associated with a course of action intended to address the particular error. For example, in response to an error indicating an excessive-temperature condition of the IPG, the user may enter a response-input corresponding to reducing a simulated stimulation output or to turning off the IPG. In other embodiments, the response-inputs may simply indicate a confirmation from the user that the error has been acknowledged. For example, a user may enter a confirmation input in response to having received an error indicating a low-battery condition for a simulated IPG. In some embodiments, the response-inputs may be entered at the trainer device 900, for example, at one or more switch elements of the trainer device 900.


In some embodiments, the trainer device 900 may evaluate the response-inputs. That is, the trainer device 900 may evaluate whether the response-inputs from the user adequately address the error being simulated. In doing so, the trainer device 900 may access a memory (for example, a local memory) that may include information about response-inputs that may be appropriate to address each error. In these embodiments, if the trainer device 900 determines that a response-input adequately addresses the error being simulated, the trainer device 900 may register within a local memory of the trainer device 900 that the error has been resolved. If an error element 912 had been turned on due to the error, the trainer device 900 may turn off the error element 912.


In some embodiments, the evaluation of the response-inputs may occur on the NP. That is, the NP may evaluate whether the response-inputs from the user adequately address the error being simulated. In doing so, the NP may access a memory (for example, a local memory) that may include information about response-inputs that may be appropriate to address each error. In these embodiments, if the NP determines that a response-input adequately addresses the error being simulated, the NP may transmit error-resolution information to the trainer device 900, indicating that the first error has been resolved. In response to receiving the error-resolution information, the trainer device 900 may register within a local memory of the trainer device 900 that the error has been resolved. If an error element 912 had been turned on due to the error, the trainer device 900 may turn off the error element 912. In some embodiments, the evaluation may occur partly on the trainer device 900 and partly on the NP.


In some embodiments, the trainer device 900 may transmit a simulated second error information to the NP. The second error information may include an indication of a second error selected from the plurality of errors. In some embodiments, in cases where the plurality of errors is maintained in a predetermined order, the second error may be next in sequence from the first error based on the predetermined order. In some embodiments, the second error may be selected only when it is determined that the first error has been resolved. In other embodiments, the second error may be transmitted only when it is determined that the first error has been resolved, but may be selected before the first error has been resolved.


In some embodiments, the trainer device 900 may receive a mode-selection input for cycling between or among two or more pulse-generator modes. The pulse-generator modes may include an IPG mode and an EPG mode. In response, the trainer device 900 may select a respective pulse-generator mode associated with the received mode selection input. For example, referencing FIG. 9, in the case where the trainer device 900 is currently in an IPG mode, the trainer device 900 may switch from the IPG mode to an EPG mode in response to a user input resulting from a user pressing the switch 920.


In some embodiments, the trainer device 900 may be used to simulate a variety of programming situations other than errors. For example, the trainer device 900 may be used to simulate more ordinary tasks such as the programming of patient stimulation patterns, the programming of modes, the task of switching between modes. the adjusting of parameters, or any other suitable task. Essentially, the trainer device 900 may be used to simulate any tasks that an IPG or EPG may perform.



FIG. 11 illustrates a schematic diagram of an example trainer device 900 having separated first and second circuitry. In some embodiments, referencing FIG. 11, the stimulation of the programming of the neurostimulator may be performed using, at least in part, a first circuitry 1110 of the trainer device 900. In some embodiments, the first circuitry 1110 may include a PCB that may be configured to be coupled (for example, wirelessly or via a wired connection) communicatively to the NP, so that the trainer device 900 and the NP may communicate with each other to generate and display the training simulations described herein.



FIG. 12 illustrates an example method 1200 for simulating an error during a simulated neurostimulator programming session. The method may begin at step 1210, where a trainer device may be coupled to a NP, wherein the NP is configured to program or adjust parameters of one or more neurostimulators, and wherein the trainer device is configured to simulate the one or more neurostimulators. At step 1220, the trainer device may transmit simulated neurostimulator information to the NP, wherein the simulated neurostimulator information comprises one or more stimulation parameters or information associated with one or more leads. At step 1230, the trainer device may transmit a simulated first error information to the NP, wherein the first error information comprises an indication of a first error selected from a plurality of errors. At step 1240, the trainer device may receive a response-information from the NP corresponding to a user input entered by a user to resolve the first error. At step 1250, the trainer device may register within a local memory of the trainer device that the first error has been resolved. Particular embodiments may repeat one or more steps of the method of FIG. 12, where appropriate. Although this disclosure describes and illustrates particular steps of the method of FIG. 12 as occurring in a particular order, this disclosure contemplates any suitable steps of the method of FIG. 12 occurring in any suitable order. Moreover, although this disclosure describes and illustrates an example method for simulating an error during a simulated neurostimulator programming session including the particular steps of the method of FIG. 12, this disclosure contemplates any suitable method for simulating an error during a simulated neurostimulator programming session, including any suitable steps, which may include all, some, or none of the steps of the method of FIG. 12, where appropriate. Furthermore, although this disclosure describes and illustrates particular components, devices, or systems carrying out particular steps of the method of FIG. 12, this disclosure contemplates any suitable combination of any suitable components, devices, or systems carrying out any suitable steps of the method of FIG. 12.



FIG. 13 illustrates an example method 1300 for simulating neurostimulation lead placement. The method may begin at step 1310, where a lead stimulation cable of a neurostimulator training system may be connected to a first port of a NP. At step 1320, a ground of the neurostimulator training system may be connected to a second port of the NP. At step 1330, the lead-placement circuitry of the neurostimulator training system may receive one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit comprising the lead stimulation cable, the ground electrode cable, and the fixed load. At step 1340, the neurostimulator training system may measure an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load. At step 1350, the neurostimulator training system Particular embodiments may repeat one or more steps of the method of FIG. 13, where appropriate. Although this disclosure describes and illustrates particular steps of the method of FIG. 13 as occurring in a particular order, this disclosure contemplates any suitable steps of the method of FIG. 13 occurring in any suitable order. Moreover, although this disclosure describes and illustrates an example method for simulating neurostimulation lead placement including the particular steps of the method of FIG. 13, this disclosure contemplates any suitable method for simulating neurostimulation lead placement, including any suitable steps, which may include all, some, or none of the steps of the method of FIG. 13, where appropriate. Furthermore, although this disclosure describes and illustrates particular components, devices, or systems carrying out particular steps of the method of FIG. 13, this disclosure contemplates any suitable combination of any suitable components, devices, or systems carrying out any suitable steps of the method of FIG. 13.


In some embodiments, the trainer device 900 may be used to provide a lead placement simulation, which may be a simulation of the checks involved in ensuring proper placement of a lead. One of these checks may include measuring and impedance, which may confirm that a lead has been implanted within tissue, or within a particular type of tissue associated with a signature impedance. For example, a clinician implanting a lead may check to confirm that the lead has been implanted in an area that provides an appropriate impedance value (for example, an impedance value that is within a threshold range of a specified impedance value associated with a target tissue). Alternatively or additionally, an impedance measurement may be used to indicate that a reliable connection has been made between a lead and an IPG or an EPG and/or that the lead is intact. This may be used as an initial step in positioning the lead and/or in programming the leads to ensure the electrodes are properly functioning. In some embodiments, the specified impedance value may be around 500 ohms.


In some embodiments, the lead placement simulation may be provided when the trainer device 900 is operating in a different mode, termed herein as “Lead Placement Mode.” In some embodiments, for example referencing FIG. 11, the trainer device 900 may include a second circuitry 1120. In some embodiments, the trainer device 900 may include one or more cables for lead placement simulation. These cables may be configured for connection to the NP. For example, the cables may include a foramen needle stimulation cable 930, a ground electrode cable 932, and a lead stimulation cable 940 for simulating a lead (for example, a cable for simulating a four-channel lead or a five-channel lead). In some embodiments, the NP may include circuitry that is configured to output a pulse with predetermined characteristics (for example, a predetermined voltage) via the cables to a circuit portion 920 within the trainer device 900. The trainer device 900 may include a load 1125 (which may include one or more resistors) within the portable housing 902 that may provide a “dummy” impedance, through which the pulse may travel. In some embodiments, the load 1125 may be part of the second circuitry 1120. The trainer device 900 (or alternatively, the NP to which the trainer device 900 is connected) may be able to confirm the impedance provided by the load. In some embodiments, the second circuitry may be separated from the first circuitry 1110 that is used to simulate the EPG or IPG. For example, the second circuitry 1120 may be disposed at least in part on a separate PCB, and may be isolated from a PCB of the second circuitry 1120. Disposing the second circuitry 1120 on a separate PCB may be advantageous in that such separation of the different circuitries may permit easier modification of the second circuitry 1120 without the risk of affecting the first circuitry 1110. For example, this may allow for easy modification of the load 1125 in the second circuitry 1120 to change the simulated lead impedance values (for example, replacing a 500-ohm resistor that may be in the load 1125 with a 600-ohm resistor). Alternatively, such separation may permit easier modification of the first circuitry 1110 without the risk of affecting the second circuitry 1120.


In some embodiments, the lead placement simulation may include, for example, two phases: (1) the foramen needle insertion phase and (2) the lead insertion phase. The foramen needle insertion phase may simulate the task of inserting a foramen needle into a tissue near a target nerve. In a real medical procedure, the insertion of the foramen needle may be done, for example, to identify the optimal stimulation location, as described elsewhere herein. In some embodiments, referencing FIG. 10, the simulation for the foramen needle insertion phase may involve the user of the trainer device 900 connecting the foramen needle stimulation cable 930 and the ground electrode cable 932 to suitable ports of the NP 1010. For example, the foramen needle stimulation cable 930 may be connected to a first port of the NP 1010 and the ground electrode cable 932 may be connected to a second port of the NP 1010. In some embodiments, following activation of Lead Placement Mode, the NP may output a pulse, completing a circuit that may include the foramen needle stimulation cable 930 and the ground electrode cable 932. The circuit may include the load 1125, which may provide an impedance that simulates a target tissue. In some embodiments, the circuit may also include one or more other fixed loads (for example, a 100-ohm resistor, disposed within the NP, in series with the load 1125 when the circuit is completed). In some embodiments, the trainer device 900 may be able to measure the impedance of the circuit, which includes the impedance provided by the load 1125. For example, the trainer device may receive, at the second circuitry 1120, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit that includes at least the foramen needle stimulation cable, the ground electrode cable, and the fixed load of the second circuitry. The trainer device 900 may measure an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load. The trainer device 900 may then transmit, to the NP, information corresponding to the measured impedance. In other embodiments, the NP may make this measurement (that is, the measurement step may occur on the NP).


The impedance measurement may be based on, for example, measuring the voltage differential or the current in the circuit (for example, using Ohm's law, V=IR). As an example, the impedance of the load 1125 may be around 499 ohms. The measured impedance may be around 499 ohms, or alternatively may be higher based on the presence of one or more other fixed loads. For example, the circuit may have a 100-ohm resistor in series with the foramen needle connection and a 100-ohm resistor in series with the ground electrode connection, which may result in a measured impedance of 699 ohms. The measured impedance may be displayed on a display, for example a display associated with the NP 1010 or a display associated with the trainer device 900. The user of the trainer device 900 may be able to view the measured impedance on the display and determine that the simulated foramen needle has been placed in a simulated location that provides the correct impedance.


In the lead insertion phase of the lead placement simulation, the trainer device 900 may simulate the implantation of one or more leads of an IPG or EPG. As an example, FIGS. 9-10 illustrate a configuration that may be used to training for a single lead, the implantation of which may be simulated by the lead stimulation cable 940. The user may connect the ground electrode cable 932 and the lead stimulation cable 940 to suitable ports of the NP 1010. As with the foramen needle insertion phase, the clinician programmer may output a pulse with predetermined characteristics, completing a circuit that includes the ground electrode cable 932 lead stimulation cable 940. The circuit may also include the load 1125. Similar to the foramen needle insertion phase, in some embodiments, the trainer device 900 may be able to measure the impedance of the circuit, which includes the impedance provided by the load 1125. For example, the trainer device may receive, at the second circuitry 1120, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit that includes at least the lead stimulation cable, the ground electrode cable, and the fixed load of the second circuitry. The trainer device 900 may measure an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load. The trainer device 900 may then transmit, to the NP, information corresponding to the measured impedance. In other embodiments, again similar to the foramen needle insertion phase, the NP may make this measurement (that is, the measurement step may occur on the NP).


In some embodiments, the circuit for the lead insertion phase may include one or more other fixed loads. For example, the circuit may include a 100-ohm resistor in series with the ground electrode connection. In this example, a load 1125 that has an impedance of 499 ohms may yield measured impedance of 599 ohms. The measured impedance may be displayed, for example, on a display associated with the NP. The user of the trainer device 900 may be able to view the measured impedance on the display and determine that the simulated lead has been placed in a simulated location that provides the correct impedance.


In some embodiments, Lead Placement Mode may be initiated when the user manually activates the mode. For example, the user may activate this mode by actuating an appropriate button on the clinician programmer or the trainer device 900. In some embodiments, this mode may be automatically activated by the trainer device 900 when the user simply plugs in the cables associated with the lead placement mode.


In the foregoing specification, the invention is described with reference to specific embodiments thereof, but those skilled in the art will recognize that the invention is not limited thereto. Various features and aspects of the above-described invention can be used individually or jointly. Further, the invention can be utilized in any number of environments and applications beyond those described herein without departing from the broader spirit and scope of the specification. The specification and drawings are, accordingly, to be regarded as illustrative rather than restrictive. It will be recognized that the terms “comprising,” “including,” and “having,” as used herein, are specifically intended to be read as open-ended terms of art.

Claims
  • 1. A method of providing a simulation of a neurostimulator programming session, the method comprising: coupling a trainer device to a neurostimulator programmer (NP), wherein the NP is configured to program or adjust parameters of one or more neurostimulators, and wherein the trainer device is configured to simulate the one or more neurostimulators;by the circuitry of the trainer device, transmitting a simulated first error information to the NP, wherein the first error information comprises an indication of a first error selected from a plurality of errors; andby the circuitry of the trainer device, receiving a response-information from the NP corresponding to a user input entered by a user to resolve the first error.
  • 2. The method of claim 1, wherein the NP is a clinician programmer, and wherein the one or more neurostimulators that the trainer device is configured to simulate comprises an implantable pulse generator (IPG) or an external pulse generator (EPG).
  • 3. The method of claim 1, further comprising transmitting simulated neurostimulator information to the NP, wherein the simulated neurostimulator information comprises battery information of a simulated one of the one or more neurostimulators.
  • 4. The method of claim 1, further comprising transmitting simulated neurostimulator information to the NP, wherein the simulated neurostimulator information comprises simulated current information related to a simulated stimulation program, the current information comprising: one or more stimulation parameters;an indication of whether stimulation is currently ON or OFF in the simulated stimulation program;an identification of one or more electrodes that are currently stimulating in the simulated stimulation program;an identification of one or more leads that are currently stimulating in the simulated stimulation program;an identification of one or more electrodes that are configured to be enabled in the simulated stimulation program;an identification of one or more leads that are configured to be enabled in the simulated stimulation program; orimpedance information indicating a measured impedance.
  • 5. The method of claim 1, further comprising transmitting simulated neurostimulator information to the NP, wherein the simulated neurostimulator information further comprises treatment data about a simulated treatment history of a simulated patient.
  • 6. The method of claim 1, further comprising: accessing a data store of the trainer device, wherein the data store comprises a plurality of errors; andselecting the first error from the plurality of errors.
  • 7. The method of claim 6, wherein the plurality of errors is maintained in a predetermined order, and wherein the first error is selected based on the predetermined order.
  • 8. The method of claim 6, wherein the first error is selected at random from the plurality of errors.
  • 9. The method of claim 6, wherein the plurality of errors comprises a low-battery condition indicating that a battery of a simulated one of the one or more neurostimulators is approaching a critically low level.
  • 10. The method of claim 6, wherein the plurality of errors comprises a disconnected- or faulty-lead condition indicating that a lead is disconnected or otherwise faulty.
  • 11. The method of claim 6, wherein the plurality of errors comprises an excessive-temperature condition indicating that a simulated one of the one or more neurostimulators is above a respective threshold temperature, or an excessive-temperature condition indicating that the NP is above a respective threshold temperature.
  • 12. The method of claim 1, further comprising: transmitting a simulated second error information to the NP, wherein: the second error information comprises an indication of a second error selectedfrom the plurality of errors, the plurality of errors is maintained in a predetermined order, andthe second error is next in sequence based on the predetermined order from the first error.
  • 13. The method of claim 1, further comprising: receiving a mode-selection input for cycling between or among two or more pulse-generator modes, wherein the pulse-generator modes comprise an IPG mode and an EPG mode; andselecting a respective pulse-generator mode associated with the received mode-selection input.
  • 14. The method of claim 1, further comprising: receiving a user input requesting an error simulation; andin response to receiving the user input, transmitting an instruction to the NP to display a simulation of the first error.
  • 15. The method of claim 14, further comprising: turning on an error indicator associated with the trainer device that indicates that an error is being simulated;evaluating the response-information to determine if the corresponding user input resolves the first error; andin response to determining that the corresponding user input resolves the first error, turning off the error indicator.
  • 16. The method of claim 14, further comprising: turning on an error indicator associated with the trainer device that indicates that an error is being simulated;receiving error-resolution information from the NP indicating that the first error has been resolved; andin response to receiving the error-resolution information, turning off the error indicator.
  • 17. The method of claim 1, further comprising: turning on one or more indicators on an interface of the trainer device, wherein the one or more indicators comprise:a stimulation indicator that indicates whether or not the NP has successfully sent a command to the trainer device to turn on patient stimulation;one or more pulse-generator mode indicators that indicate whether the simulation is simulating an IPG or an EPG; orone or more error indicators that indicate whether an error is being simulated.
  • 18. The method of claim 1, wherein the circuitry comprises: a first circuitry for simulating the one or more neurostimulators; anda second circuitry for simulating placement of a lead, wherein the second circuitry comprises a fixed load.
  • 19. The method of claim 18, wherein the trainer device comprises a foramen needle stimulation cable and a ground electrode cable, wherein the foramen needle stimulation cable is configured to be connected to a first port of the NP, and wherein the ground electrode cable is configured to be connected to a second port of the NP, the method further comprising: receiving, at the second circuitry, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit comprising the foramen needle stimulation cable, the ground electrode cable, and the fixed load of the second circuitry;measuring an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load; andtransmitting, to the NP, information corresponding to the measured impedance.
  • 20. The method of claim 19, wherein the first circuitry and the second circuitry are housed on separate circuit boards that are not electrically coupled to each other.
  • 21. The method of claim 18, wherein the trainer device comprises a lead stimulation cable and a ground electrode cable, wherein the lead stimulation cable is configured to be connected to a first port of the NP, and wherein the ground electrode cable is configured to be connected to a second port of the NP, the method further comprising: receiving, at the second circuitry, one or more electrical pulses from the NP, wherein the one or more electrical pulses form a completed circuit comprising the lead stimulation cable, the ground electrode cable, and the fixed load of the second circuitry;measuring an impedance of the completed circuit, wherein the impedance is associated with at least the fixed load; andtransmitting, to the NP, information corresponding to the measured impedance.
  • 22. The method of claim 21, wherein the first circuitry and the second circuitry are housed on separate circuit boards that are not electrically coupled to each other.
  • 23. The method of claim 1, wherein one or more retention pins of the trainer device is configured to be secured to one or more open ports of the NP.
  • 24. The method of claim 1, wherein the trainer device is coupled to the NP wirelessly.
  • 25. The method of claim 1, further comprising registering within a local memory of the trainer device that the first error has been resolved.
  • 26. A trainer device for providing a simulation of a neurostimulator programming session, the trainer device comprising: a portable housing;circuitry disposed within the portable housing, wherein the circuitry is configured to: couple the trainer device to a neurostimulator programmer (NP), wherein the NP is configured to program or adjust parameters of one or more neurostimulators, and wherein the trainer device is configured to simulate the one or more neurostimulators;transmit a simulated first error information to the NP, wherein the first error information comprises an indication of a first error selected from a plurality of errors; andreceive a response-information from the NP corresponding to a user input entered by a user to resolve the first error.
  • 27. A neurostimulator training system comprising: a neurostimulator programmer (NP) configured to program or adjust parameters of one or more neurostimulators; anda trainer device comprising: a portable housing;circuitry disposed within the portable housing, wherein the circuitry is configured to: couple the trainer device to a NP, wherein the trainer device is configured to simulate the one or more neurostimulators;transmit a simulated first error information to the NP, wherein the first error information comprises an indication of a first error selected from a plurality of errors; andreceive a response-information from the NP corresponding to a user input entered by a user to resolve the first error.
CROSS-REFERENCES TO RELATED APPLICATIONS

The present application claims the benefit of priority of U.S. Provisional Application No. 62/852,875 filed on May 24, 2019; and entitled “TRAINER FOR A NEUROSTIMULATOR PROGRAMMER AND ASSOCIATED METHODS OF USE WITH A NEUROSTIMULATION SYSTEM,” the entirety of which is hereby incorporated by reference herein.

US Referenced Citations (949)
Number Name Date Kind
53928 Sheffield et al. Apr 1866 A
3057356 Greatbatch Oct 1962 A
3348548 Chardack Oct 1967 A
3646940 Timm et al. Mar 1972 A
3824129 Fagan, Jr. Jul 1974 A
3825015 Berkovits Jul 1974 A
3888260 Fischell Jun 1975 A
3902501 Citron et al. Sep 1975 A
3939843 Smyth Feb 1976 A
3942535 Schulman Mar 1976 A
3970912 Hoffman Jul 1976 A
3995623 Blake et al. Dec 1976 A
4019518 Maurer et al. Apr 1977 A
4044774 Corbin et al. Aug 1977 A
4082097 Mann et al. Apr 1978 A
4141365 Fischell et al. Feb 1979 A
4166469 Littleford Sep 1979 A
4210383 Davis Jul 1980 A
4269198 Stokes May 1981 A
4285347 Hess Aug 1981 A
4340062 Thompson et al. Jul 1982 A
4379462 Borkan et al. Apr 1983 A
4407303 Akerstrom Oct 1983 A
4437475 White Mar 1984 A
4468723 Hughes Aug 1984 A
4512351 Pohndorf Apr 1985 A
4550731 Batina et al. Nov 1985 A
4558702 Barreras et al. Dec 1985 A
4654880 Sontag Mar 1987 A
4662382 Sluetz et al. May 1987 A
4673867 Davis Jun 1987 A
4719919 Marchosky et al. Jan 1988 A
4721118 Harris Jan 1988 A
4722353 Sluetz Feb 1988 A
4744371 Harris May 1988 A
4800898 Hess et al. Jan 1989 A
4848352 Pohndorf et al. Jul 1989 A
4860446 Lessar et al. Aug 1989 A
4957118 Erlebacher Sep 1990 A
4989617 Memberg et al. Feb 1991 A
5012176 Laforge Apr 1991 A
5052407 Hauser et al. Oct 1991 A
5143089 Alt Sep 1992 A
5193539 Schulman et al. Mar 1993 A
5197466 Marchosky et al. Mar 1993 A
5204611 Nor et al. Apr 1993 A
5255691 Otten Oct 1993 A
5257634 Kroll Nov 1993 A
5342408 deCoriolis et al. Aug 1994 A
5439485 Mar et al. Aug 1995 A
5476499 Hirschberg Dec 1995 A
5484445 Knuth Jan 1996 A
5571148 Loeb et al. Nov 1996 A
5592070 Mino Jan 1997 A
5637981 Nagai et al. Jun 1997 A
5676162 Larson, Jr. et al. Oct 1997 A
5690693 Wang et al. Nov 1997 A
5702428 Tippey et al. Dec 1997 A
5702431 Wang et al. Dec 1997 A
5712795 Layman et al. Jan 1998 A
5713939 Nedungadi et al. Feb 1998 A
5733313 Barreras, Sr. et al. Mar 1998 A
5735887 Barreras, Sr. et al. Apr 1998 A
5741316 Chen et al. Apr 1998 A
5871532 Schroeppel Feb 1999 A
5876423 Braun Mar 1999 A
5877472 Campbell et al. Mar 1999 A
5902331 Bonner et al. May 1999 A
5948006 Mann Sep 1999 A
5949632 Barreras, Sr. et al. Sep 1999 A
5957965 Moumane et al. Sep 1999 A
5974344 Shoemaker, II et al. Oct 1999 A
5991665 Wang et al. Nov 1999 A
6014588 Fitz Jan 2000 A
6027456 Feler et al. Feb 2000 A
6035237 Schulman et al. Mar 2000 A
6052624 Mann Apr 2000 A
6055456 Gerber Apr 2000 A
6057513 Ushikoshi et al. May 2000 A
6067474 Schulman et al. May 2000 A
6075339 Reipur et al. Jun 2000 A
6076017 Taylor et al. Jun 2000 A
6081097 Seri et al. Jun 2000 A
6083247 Rutten et al. Jul 2000 A
6104957 Alo et al. Aug 2000 A
6104960 Duysens et al. Aug 2000 A
6138681 Chen et al. Oct 2000 A
6157861 Faltys et al. Dec 2000 A
6164284 Schulman et al. Dec 2000 A
6165180 Cigaina et al. Dec 2000 A
6166518 Echarri et al. Dec 2000 A
6169387 Kaib Jan 2001 B1
6172556 Prentice Jan 2001 B1
6178353 Griffith et al. Jan 2001 B1
6181105 Cutolo et al. Jan 2001 B1
6181961 Prass Jan 2001 B1
6185452 Schulman et al. Feb 2001 B1
6191365 Avellanet Feb 2001 B1
6208894 Schulman et al. Mar 2001 B1
6208895 Sullivan et al. Mar 2001 B1
6212430 Kung Apr 2001 B1
6212431 Hahn et al. Apr 2001 B1
6221513 Lasater Apr 2001 B1
6227204 Baumann et al. May 2001 B1
6243608 Pauly et al. Jun 2001 B1
6246911 Seligman Jun 2001 B1
6249703 Stanton et al. Jun 2001 B1
6265789 Honda et al. Jul 2001 B1
6275737 Mann Aug 2001 B1
6278258 Echarri et al. Aug 2001 B1
6305381 Weijand et al. Oct 2001 B1
6306100 Prass Oct 2001 B1
6313779 Leung et al. Nov 2001 B1
6314325 Fitz Nov 2001 B1
6315721 Schulman et al. Nov 2001 B2
6316909 Honda et al. Nov 2001 B1
6321118 Hahn Nov 2001 B1
6324432 Rigaux et al. Nov 2001 B1
6327504 Dolgin et al. Dec 2001 B1
6354991 Gross et al. Mar 2002 B1
6360750 Gerber et al. Mar 2002 B1
6381496 Meadows et al. Apr 2002 B1
6393325 Mann et al. May 2002 B1
6427086 Fischell et al. Jul 2002 B1
6438423 Rezai et al. Aug 2002 B1
6442434 Zarinetchi et al. Aug 2002 B1
6453198 Torgerson et al. Sep 2002 B1
6466817 Kaula et al. Oct 2002 B1
6473652 Sarwal et al. Oct 2002 B1
6500141 Irion et al. Dec 2002 B1
6505075 Weiner Jan 2003 B1
6505077 Kast et al. Jan 2003 B1
6510347 Borkan Jan 2003 B2
6516227 Meadows et al. Feb 2003 B1
6517227 Stidham et al. Feb 2003 B2
6521350 Fey et al. Feb 2003 B2
6542846 Miller et al. Apr 2003 B1
6553263 Meadows et al. Apr 2003 B1
6564807 Schulman et al. May 2003 B1
6584355 Stessman Jun 2003 B2
6587728 Fang et al. Jul 2003 B2
6600954 Cohen et al. Jul 2003 B2
6609031 Law et al. Aug 2003 B1
6609032 Woods et al. Aug 2003 B1
6609945 Jimenez et al. Aug 2003 B2
6625494 Fang et al. Sep 2003 B2
6652449 Gross et al. Nov 2003 B1
6654634 Prass Nov 2003 B1
6662051 Eraker et al. Dec 2003 B1
6662053 Borkan Dec 2003 B2
6664763 Echarri et al. Dec 2003 B2
6678563 Fang et al. Jan 2004 B2
6685638 Taylor et al. Feb 2004 B1
6701189 Fang et al. Mar 2004 B2
6721603 Zabara et al. Apr 2004 B2
6735474 Loeb et al. May 2004 B1
6745077 Griffith et al. Jun 2004 B1
6809701 Amundson et al. Oct 2004 B2
6836684 Rijkhoff et al. Dec 2004 B1
6836685 Fitz Dec 2004 B1
6847849 Mamo et al. Jan 2005 B2
6864755 Moore Mar 2005 B2
6871099 Whitehurst et al. Mar 2005 B1
6892098 Ayal et al. May 2005 B2
6895280 Meadows et al. May 2005 B2
6896651 Gross et al. May 2005 B2
6901287 Davis et al. May 2005 B2
6907293 Grill et al. Jun 2005 B2
6923814 Hildebrand et al. Aug 2005 B1
6941171 Mann et al. Sep 2005 B2
6959215 Gliner et al. Oct 2005 B2
6971393 Mamo et al. Dec 2005 B1
6986453 Jiang et al. Jan 2006 B2
6989200 Byers et al. Jan 2006 B2
6990376 Tanagho et al. Jan 2006 B2
6999819 Swoyer et al. Feb 2006 B2
7010351 Firlik et al. Mar 2006 B2
7024247 Gliner et al. Apr 2006 B2
7043304 Griffith et al. May 2006 B1
7047078 Boggs, II et al. May 2006 B2
7051419 Schrom et al. May 2006 B2
7054689 Whitehurst et al. May 2006 B1
7069081 Biggs et al. Jun 2006 B2
7114502 Schulman et al. Oct 2006 B2
7127298 He et al. Oct 2006 B1
7131996 Wasserman et al. Nov 2006 B2
7142925 Bhadra et al. Nov 2006 B1
7146217 Firlik et al. Dec 2006 B2
7146219 Sieracki et al. Dec 2006 B2
7151914 Brewer Dec 2006 B2
7167743 Heruth et al. Jan 2007 B2
7167749 Biggs et al. Jan 2007 B2
7167756 Torgerson et al. Jan 2007 B1
7177677 Kaula et al. Feb 2007 B2
7177690 Woods et al. Feb 2007 B2
7177698 Klosterman et al. Feb 2007 B2
7181286 Sieracki et al. Feb 2007 B2
7184836 Meadows et al. Feb 2007 B1
7187978 Malek et al. Mar 2007 B2
7191005 Stessman Mar 2007 B2
7212110 Martin et al. May 2007 B1
7214197 Prass May 2007 B2
7216001 Hacker et al. May 2007 B2
7225028 Della Santina et al. May 2007 B2
7225032 Schmeling et al. May 2007 B2
7231254 DiLorenzo Jun 2007 B2
7234853 Givoletti Jun 2007 B2
7236831 Firlik et al. Jun 2007 B2
7239918 Strother et al. Jul 2007 B2
7245972 Davis Jul 2007 B2
7283867 Strother et al. Oct 2007 B2
7286880 Olson et al. Oct 2007 B2
7295878 Meadows et al. Nov 2007 B1
7299096 Balzer et al. Nov 2007 B2
7305268 Gliner et al. Dec 2007 B2
7317948 King et al. Jan 2008 B1
7324852 Barolat et al. Jan 2008 B2
7324853 Ayal et al. Jan 2008 B2
7326181 Katims Feb 2008 B2
7328068 Spinelli et al. Feb 2008 B2
7330764 Swoyer et al. Feb 2008 B2
7331499 Jiang et al. Feb 2008 B2
7337006 Kim et al. Feb 2008 B2
7359751 Erickson et al. Apr 2008 B1
7369894 Gerber May 2008 B2
7386348 North et al. Jun 2008 B2
7387603 Gross et al. Jun 2008 B2
7395113 Heruth et al. Jul 2008 B2
7396265 Darley et al. Jul 2008 B2
7406351 Wesselink Jul 2008 B2
7415308 Gerber et al. Aug 2008 B2
7444181 Shi et al. Oct 2008 B2
7444184 Boveja et al. Oct 2008 B2
7447546 Kim et al. Nov 2008 B2
7450991 Smith et al. Nov 2008 B2
7450993 Kim et al. Nov 2008 B2
7460911 Cosendai et al. Dec 2008 B2
7463928 Lee et al. Dec 2008 B2
7470236 Kelleher et al. Dec 2008 B1
7483747 Gliner et al. Jan 2009 B2
7483752 Von Arx et al. Jan 2009 B2
7486048 Tsukamoto et al. Feb 2009 B2
7496404 Meadows et al. Feb 2009 B2
7502651 Kim et al. Mar 2009 B2
7513257 Schulman et al. Apr 2009 B2
7515965 Gerber et al. Apr 2009 B2
7515967 Phillips et al. Apr 2009 B2
7522953 Kaula et al. Apr 2009 B2
7532936 Erickson et al. May 2009 B2
7539538 Parramon et al. May 2009 B2
7551958 Libbus et al. Jun 2009 B2
7551960 Forsberg et al. Jun 2009 B2
7555346 Woods et al. Jun 2009 B1
7555347 Loeb Jun 2009 B2
7565199 Sheffield et al. Jul 2009 B2
7565203 Greenberg et al. Jul 2009 B2
7571000 Boggs, II et al. Aug 2009 B2
7577481 Firlik et al. Aug 2009 B2
7578819 Bleich et al. Aug 2009 B2
7580752 Gerber et al. Aug 2009 B2
7580753 Kim et al. Aug 2009 B2
7582053 Gross et al. Sep 2009 B2
7582058 Miles et al. Sep 2009 B1
7613516 Cohen et al. Nov 2009 B2
7617002 Goetz Nov 2009 B2
7620456 Gliner et al. Nov 2009 B2
7623925 Grill et al. Nov 2009 B2
7636602 Baru Fassio et al. Dec 2009 B2
7640059 Forsberg et al. Dec 2009 B2
7643880 Tanagho et al. Jan 2010 B2
7647117 Bauhahn Jan 2010 B2
7650192 Wahlstrand Jan 2010 B2
7664544 Miles et al. Feb 2010 B2
7672730 Firlik et al. Mar 2010 B2
7706889 Gerber et al. Apr 2010 B2
7720547 Denker et al. May 2010 B2
7720548 King May 2010 B2
7725191 Greenberg et al. May 2010 B2
7734355 Cohen et al. Jun 2010 B2
7738963 Hickman et al. Jun 2010 B2
7738965 Phillips et al. Jun 2010 B2
7747330 Nolan et al. Jun 2010 B2
7756584 Sheffield et al. Jul 2010 B2
7771838 He et al. Aug 2010 B1
7774069 Olson et al. Aug 2010 B2
7801601 Maschino et al. Sep 2010 B2
7801619 Gerber et al. Sep 2010 B2
7805196 Miesel et al. Sep 2010 B2
7813803 Heruth et al. Oct 2010 B2
7813809 Strother et al. Oct 2010 B2
7819909 Goetz et al. Oct 2010 B2
7826901 Lee et al. Nov 2010 B2
7831305 Gliner Nov 2010 B2
7848818 Barolat et al. Dec 2010 B2
7853322 Bourget et al. Dec 2010 B2
7878207 Goetz et al. Feb 2011 B2
7890176 Jaax et al. Feb 2011 B2
7904167 Klosterman et al. Mar 2011 B2
7912555 Swoyer et al. Mar 2011 B2
7925357 Phillips et al. Apr 2011 B2
7932696 Peterson Apr 2011 B2
7933656 Sieracki et al. Apr 2011 B2
7935051 Miles et al. May 2011 B2
7937158 Erickson et al. May 2011 B2
7945330 Gliner et al. May 2011 B2
7952349 Huang et al. May 2011 B2
7957797 Bourget et al. Jun 2011 B2
7957809 Bourget et al. Jun 2011 B2
7957818 Swoyer Jun 2011 B2
7962218 Balzer et al. Jun 2011 B2
7966073 Pless et al. Jun 2011 B2
7979119 Kothandaraman et al. Jul 2011 B2
7979126 Payne et al. Jul 2011 B2
7981144 Geist et al. Jul 2011 B2
7988507 Darley et al. Aug 2011 B2
8000782 Gharib et al. Aug 2011 B2
8000800 Takeda et al. Aug 2011 B2
8000805 Swoyer et al. Aug 2011 B2
8005535 Gharib et al. Aug 2011 B2
8005549 Boser et al. Aug 2011 B2
8005550 Boser et al. Aug 2011 B2
8019423 Possover Sep 2011 B2
8019425 Firlik et al. Sep 2011 B2
8024047 Olson et al. Sep 2011 B2
8027716 Gharib et al. Sep 2011 B2
8036756 Swoyer et al. Oct 2011 B2
8044635 Peterson Oct 2011 B2
8050753 Libbus et al. Nov 2011 B2
8050767 Sheffield et al. Nov 2011 B2
8050768 Firlik et al. Nov 2011 B2
8050769 Gharib et al. Nov 2011 B2
8055337 Moffitt et al. Nov 2011 B2
8055349 Gharib et al. Nov 2011 B2
8065012 Firlik et al. Nov 2011 B2
8068912 Kaula et al. Nov 2011 B2
8073546 Sheffield et al. Dec 2011 B2
8082039 Kim et al. Dec 2011 B2
8083663 Gross et al. Dec 2011 B2
8103360 Foster Jan 2012 B2
8108049 King Jan 2012 B2
8112155 Einav et al. Feb 2012 B2
8116862 Stevenson et al. Feb 2012 B2
8121701 Woods et al. Feb 2012 B2
8121702 King Feb 2012 B2
8129942 Park et al. Mar 2012 B2
8131358 Moffitt et al. Mar 2012 B2
8140168 Olson et al. Mar 2012 B2
8145324 Stevenson et al. Mar 2012 B1
8147421 Farquhar et al. Apr 2012 B2
8150530 Wesselink Apr 2012 B2
8155753 Wesselink Apr 2012 B2
8175717 Haller et al. May 2012 B2
8180451 Hickman et al. May 2012 B2
8180452 Shaquer May 2012 B2
8180461 Mamo et al. May 2012 B2
8182423 Miles et al. May 2012 B2
8190262 Gerber et al. May 2012 B2
8195300 Gliner et al. Jun 2012 B2
8214042 Ozawa et al. Jul 2012 B2
8214048 Whitehurst et al. Jul 2012 B1
8214051 Sieracki et al. Jul 2012 B2
8219196 Torgerson Jul 2012 B2
8219202 Giftakis et al. Jul 2012 B2
8224452 Pless et al. Jul 2012 B2
8224460 Schleicher et al. Jul 2012 B2
8229565 Kim et al. Jul 2012 B2
8233990 Goetz Jul 2012 B2
8255057 Fang et al. Aug 2012 B2
8311636 Gerber et al. Nov 2012 B2
8314594 Scott et al. Nov 2012 B2
8326433 Blum et al. Dec 2012 B2
8332040 Winstrom Dec 2012 B1
8337410 Kelleher et al. Dec 2012 B2
8340786 Gross et al. Dec 2012 B2
8362742 Kallmyer Jan 2013 B2
8369943 Shuros et al. Feb 2013 B2
8380314 Panken et al. Feb 2013 B2
8382059 Le Gette et al. Feb 2013 B2
8386048 McClure et al. Feb 2013 B2
8391972 Libbus et al. Mar 2013 B2
8396555 Boggs, II et al. Mar 2013 B2
8412335 Gliner et al. Apr 2013 B2
8417346 Giftakis et al. Apr 2013 B2
8423145 Pless et al. Apr 2013 B2
8423146 Giftakis et al. Apr 2013 B2
8430805 Burnett et al. Apr 2013 B2
8433414 Gliner et al. Apr 2013 B2
8435166 Burnett et al. May 2013 B2
8447402 Jiang et al. May 2013 B1
8447408 North et al. May 2013 B2
8452409 Bachinski et al. May 2013 B2
8457756 Rahman Jun 2013 B2
8457758 Olson et al. Jun 2013 B2
8467875 Bennett et al. Jun 2013 B2
8480437 Dilmaghanian et al. Jul 2013 B2
8483839 Wesselink Jul 2013 B2
8494625 Hargrove Jul 2013 B2
8509919 Yoo et al. Aug 2013 B2
8515545 Trier Aug 2013 B2
8538530 Orinski Sep 2013 B1
8543223 Sage et al. Sep 2013 B2
8544322 Minami et al. Oct 2013 B2
8549015 Barolat Oct 2013 B2
8554322 Olson et al. Oct 2013 B2
8555894 Schulman et al. Oct 2013 B2
8562539 Marino Oct 2013 B2
8571677 Torgerson et al. Oct 2013 B2
8577474 Rahman et al. Nov 2013 B2
8588917 Whitehurst et al. Nov 2013 B2
8588927 Roy et al. Nov 2013 B2
8612002 Faltys et al. Dec 2013 B2
8620436 Parramon et al. Dec 2013 B2
8626314 Swoyer et al. Jan 2014 B2
8634904 Kaula et al. Jan 2014 B2
8634932 Ye et al. Jan 2014 B1
8644931 Stadler et al. Feb 2014 B2
8644933 Ozawa et al. Feb 2014 B2
8644940 Forsell Feb 2014 B2
8655451 Klosterman et al. Feb 2014 B2
8655455 Mann et al. Feb 2014 B2
8672840 Miles et al. Mar 2014 B2
8694115 Goetz et al. Apr 2014 B2
8700175 Fell Apr 2014 B2
8700177 Strother et al. Apr 2014 B2
8706239 Bharmi et al. Apr 2014 B2
8706254 Vamos et al. Apr 2014 B2
8712546 Kim et al. Apr 2014 B2
8725262 Olson et al. May 2014 B2
8725269 Nolan et al. May 2014 B2
8731656 Bourget et al. May 2014 B2
8738138 Funderburk et al. May 2014 B2
8738141 Smith et al. May 2014 B2
8738148 Olson et al. May 2014 B2
8740783 Gharib et al. Jun 2014 B2
8744585 Gerber et al. Jun 2014 B2
8750985 Parramon et al. Jun 2014 B2
8751008 Carlton et al. Jun 2014 B2
8761897 Kaula et al. Jun 2014 B2
8768450 Gharib et al. Jul 2014 B2
8768452 Gerber Jul 2014 B2
8774912 Gerber Jul 2014 B2
8805518 King et al. Aug 2014 B2
8812116 Kaula et al. Aug 2014 B2
8825163 Grill et al. Sep 2014 B2
8825175 King Sep 2014 B2
8831731 Blum et al. Sep 2014 B2
8831737 Wesselink Sep 2014 B2
8849632 Sparks et al. Sep 2014 B2
8855767 Faltys et al. Oct 2014 B2
8855773 Kokones et al. Oct 2014 B2
8868199 Kaula et al. Oct 2014 B2
8892217 Camps et al. Nov 2014 B2
8903486 Bourget et al. Dec 2014 B2
8918174 Woods et al. Dec 2014 B2
8918184 Torgerson et al. Dec 2014 B1
8954148 Labbe et al. Feb 2015 B2
8989861 Su et al. Mar 2015 B2
9031658 Chiao et al. May 2015 B2
9044592 Imran et al. Jun 2015 B2
9050473 Woods et al. Jun 2015 B2
9089712 Joshi et al. Jul 2015 B2
9108063 Olson et al. Aug 2015 B2
9144680 Kaula et al. Sep 2015 B2
9149635 Denison et al. Oct 2015 B2
9155885 Wei et al. Oct 2015 B2
9166321 Smith et al. Oct 2015 B2
9168374 Su Oct 2015 B2
9192763 Gerber et al. Nov 2015 B2
9197173 Denison et al. Nov 2015 B2
9199075 Westlund Dec 2015 B1
9205255 Strother et al. Dec 2015 B2
9209634 Cottrill et al. Dec 2015 B2
9216294 Bennett et al. Dec 2015 B2
9227055 Wahlstrand et al. Jan 2016 B2
9227076 Sharma et al. Jan 2016 B2
9238135 Goetz et al. Jan 2016 B2
9240630 Joshi Jan 2016 B2
9242090 Atalar et al. Jan 2016 B2
9244898 Vamos et al. Jan 2016 B2
9248292 Trier et al. Feb 2016 B2
9259578 Torgerson Feb 2016 B2
9259582 Joshi et al. Feb 2016 B2
9265958 Joshi et al. Feb 2016 B2
9270134 Gaddam et al. Feb 2016 B2
9272140 Gerber Mar 2016 B2
9283394 Whitehurst et al. Mar 2016 B2
9295851 Gordon et al. Mar 2016 B2
9308022 Chitre et al. Apr 2016 B2
9308382 Strother et al. Apr 2016 B2
9314616 Wells et al. Apr 2016 B2
9320899 Parramon et al. Apr 2016 B2
9333339 Weiner May 2016 B2
9352148 Stevenson et al. May 2016 B2
9352150 Stevenson et al. May 2016 B2
9358039 Kimmel et al. Jun 2016 B2
9364658 Wechter Jun 2016 B2
9375574 Kaula et al. Jun 2016 B2
9393423 Parramon et al. Jul 2016 B2
9399137 Parker et al. Jul 2016 B2
9409020 Parker Aug 2016 B2
9415211 Bradley et al. Aug 2016 B2
9427571 Sage et al. Aug 2016 B2
9427573 Gindele et al. Aug 2016 B2
9427574 Lee et al. Aug 2016 B2
9433783 Wei et al. Sep 2016 B2
9436481 Drew Sep 2016 B2
9446245 Grill et al. Sep 2016 B2
9463324 Olson et al. Oct 2016 B2
9468755 Westlund et al. Oct 2016 B2
9471753 Kaula et al. Oct 2016 B2
9480846 Strother et al. Nov 2016 B2
9492672 Vamos et al. Nov 2016 B2
9492675 Torgerson et al. Nov 2016 B2
9492678 Chow Nov 2016 B2
9498628 Kaemmerer et al. Nov 2016 B2
9502754 Zhao et al. Nov 2016 B2
9504830 Kaula et al. Nov 2016 B2
9522282 Chow et al. Dec 2016 B2
9533155 Jiang et al. Jan 2017 B2
9555246 Jiang et al. Jan 2017 B2
9561372 Jiang et al. Feb 2017 B2
9592389 Moffitt Mar 2017 B2
9610449 Kaula et al. Apr 2017 B2
9615744 Denison et al. Apr 2017 B2
9623257 Olson et al. Apr 2017 B2
9636497 Bradley et al. May 2017 B2
9643004 Gerber May 2017 B2
9653935 Cong et al. May 2017 B2
9656074 Simon et al. May 2017 B2
9656076 Trier et al. May 2017 B2
9656089 Yip et al. May 2017 B2
9675809 Chow Jun 2017 B2
9687649 Thacker Jun 2017 B2
9707405 Shishilla et al. Jul 2017 B2
9713706 Gerber Jul 2017 B2
9717900 Swoyer et al. Aug 2017 B2
9724526 Strother et al. Aug 2017 B2
9731116 Chen Aug 2017 B2
9737704 Wahlstrand et al. Aug 2017 B2
9744347 Chen et al. Aug 2017 B2
9750930 Chen Sep 2017 B2
9757555 Novotny et al. Sep 2017 B2
9764147 Torgerson Sep 2017 B2
9767255 Kaula et al. Sep 2017 B2
9776002 Parker et al. Oct 2017 B2
9776006 Parker et al. Oct 2017 B2
9776007 Kaula et al. Oct 2017 B2
9782596 Vamos et al. Oct 2017 B2
9802051 Mathur et al. Oct 2017 B2
9814884 Parker et al. Nov 2017 B2
9821112 Olson et al. Nov 2017 B2
9827415 Stevenson et al. Nov 2017 B2
9827424 Kaula et al. Nov 2017 B2
9833614 Gliner Dec 2017 B1
9849278 Spinelli et al. Dec 2017 B2
9855423 Jiang et al. Jan 2018 B2
9855438 Parramon et al. Jan 2018 B2
9872988 Kaula et al. Jan 2018 B2
9878165 Wilder et al. Jan 2018 B2
9878168 Shishilla et al. Jan 2018 B2
9882420 Cong et al. Jan 2018 B2
9884198 Parker Feb 2018 B2
9889292 Gindele et al. Feb 2018 B2
9889293 Siegel et al. Feb 2018 B2
9889306 Stevenson et al. Feb 2018 B2
9895532 Kaula et al. Feb 2018 B2
9895546 Jiang et al. Feb 2018 B2
9899778 Hanson et al. Feb 2018 B2
9901284 Olsen et al. Feb 2018 B2
9901740 Drees et al. Feb 2018 B2
9907476 Bonde et al. Mar 2018 B2
9907955 Bakker et al. Mar 2018 B2
9907957 Woods et al. Mar 2018 B2
9924904 Cong et al. Mar 2018 B2
9925381 Nassif Mar 2018 B2
9931513 Kelsch et al. Apr 2018 B2
9931514 Frysz et al. Apr 2018 B2
9950171 Johanek et al. Apr 2018 B2
9974108 Polefko May 2018 B2
9974949 Thompson et al. May 2018 B2
9981121 Seifert et al. May 2018 B2
9981137 Eiger May 2018 B2
9987493 Torgerson et al. Jun 2018 B2
9993650 Seitz et al. Jun 2018 B2
9999765 Stevenson Jun 2018 B2
10004910 Gadagkar et al. Jun 2018 B2
10016596 Stevenson et al. Jul 2018 B2
10027157 Labbe et al. Jul 2018 B2
10045764 Scott et al. Aug 2018 B2
10046164 Gerber Aug 2018 B2
10047782 Sage et al. Aug 2018 B2
10052490 Kaula et al. Aug 2018 B2
10065044 Sharma et al. Sep 2018 B2
10071247 Childs Sep 2018 B2
10076661 Wei et al. Sep 2018 B2
10076667 Kaula et al. Sep 2018 B2
10083261 Kaula et al. Sep 2018 B2
10086191 Bonde et al. Oct 2018 B2
10086203 Kaemmerer Oct 2018 B2
10092747 Sharma et al. Oct 2018 B2
10092749 Stevenson et al. Oct 2018 B2
10092762 Jiang et al. Oct 2018 B2
10095837 Corey et al. Oct 2018 B2
10099051 Stevenson et al. Oct 2018 B2
10103559 Cottrill et al. Oct 2018 B2
10105542 Jiang et al. Oct 2018 B2
10109844 Dai et al. Oct 2018 B2
10118037 Kaula et al. Nov 2018 B2
10124164 Stevenson et al. Nov 2018 B2
10124171 Kaula et al. Nov 2018 B2
10124179 Norton et al. Nov 2018 B2
10141545 Kraft et al. Nov 2018 B2
10173062 Parker Jan 2019 B2
10179241 Walker et al. Jan 2019 B2
10179244 LeBaron et al. Jan 2019 B2
10183162 Johnson et al. Jan 2019 B2
10188857 North et al. Jan 2019 B2
10195419 Shiroff et al. Feb 2019 B2
10206710 Kern et al. Feb 2019 B2
10213229 Chitre et al. Feb 2019 B2
10220210 Walker et al. Mar 2019 B2
10226617 Finley et al. Mar 2019 B2
10226636 Gaddam et al. Mar 2019 B2
10236709 Decker et al. Mar 2019 B2
10238863 Gross et al. Mar 2019 B2
10238877 Kaula et al. Mar 2019 B2
10244956 Kane Apr 2019 B2
10245434 Kaula et al. Apr 2019 B2
10258800 Perryman et al. Apr 2019 B2
10265532 Carcieri et al. Apr 2019 B2
10277055 Peterson et al. Apr 2019 B2
10293168 Bennett et al. May 2019 B2
10328253 Wells Jun 2019 B2
10363419 Simon et al. Jul 2019 B2
10369275 Olson et al. Aug 2019 B2
10369370 Shishilla et al. Aug 2019 B2
10376701 Kaula et al. Aug 2019 B2
10384067 Jiang et al. Aug 2019 B2
10406369 Jiang et al. Sep 2019 B2
10448889 Gerber et al. Oct 2019 B2
10456574 Chen et al. Oct 2019 B2
10471262 Perryman et al. Nov 2019 B2
10485970 Gerber et al. Nov 2019 B2
10493282 Caparso et al. Dec 2019 B2
10493287 Yoder et al. Dec 2019 B2
10561835 Gerber Feb 2020 B2
10589103 Mathur et al. Mar 2020 B2
10729903 Jiang et al. Aug 2020 B2
20020002390 Fischell et al. Jan 2002 A1
20020010498 Rigaux et al. Jan 2002 A1
20020010499 Rigaux et al. Jan 2002 A1
20020040185 Atalar et al. Apr 2002 A1
20020051550 Leysieffer May 2002 A1
20020051551 Leysieffer et al. May 2002 A1
20020055761 Mann et al. May 2002 A1
20020068960 Saberski et al. Jun 2002 A1
20020077572 Fang et al. Jun 2002 A1
20020116042 Boling Aug 2002 A1
20020140399 Echarri et al. Oct 2002 A1
20020156513 Borkan Oct 2002 A1
20020169485 Pless et al. Nov 2002 A1
20020177884 Ahn et al. Nov 2002 A1
20030028072 Fischell et al. Feb 2003 A1
20030078633 Firlik et al. Apr 2003 A1
20030114899 Woods et al. Jun 2003 A1
20030120323 Meadows et al. Jun 2003 A1
20030195586 Rigaux et al. Oct 2003 A1
20030195587 Rigaux et al. Oct 2003 A1
20030212440 Boveja Nov 2003 A1
20040098068 Carbunaru et al. May 2004 A1
20040106963 Tsukamoto et al. Jun 2004 A1
20040158298 Gliner et al. Aug 2004 A1
20040210290 Omar-Pasha Oct 2004 A1
20040250820 Forsell Dec 2004 A1
20040260357 Vaughan et al. Dec 2004 A1
20040260358 Vaughan et al. Dec 2004 A1
20040267137 Peszynski et al. Dec 2004 A1
20050004619 Wahlstrand et al. Jan 2005 A1
20050004621 Boveja et al. Jan 2005 A1
20050021108 Klosterman et al. Jan 2005 A1
20050049648 Cohen et al. Mar 2005 A1
20050075693 Toy et al. Apr 2005 A1
20050075694 Schmeling et al. Apr 2005 A1
20050075696 Forsberg et al. Apr 2005 A1
20050075697 Olson et al. Apr 2005 A1
20050075698 Phillips et al. Apr 2005 A1
20050075699 Olson et al. Apr 2005 A1
20050075700 Schommer et al. Apr 2005 A1
20050085743 Hacker et al. Apr 2005 A1
20050104577 Matei et al. May 2005 A1
20050119713 Whitehurst et al. Jun 2005 A1
20050182454 Gharib et al. Aug 2005 A1
20050187590 Boveja et al. Aug 2005 A1
20050240238 Mamo et al. Oct 2005 A1
20050267546 Parramon et al. Dec 2005 A1
20060009816 Fang et al. Jan 2006 A1
20060016452 Goetz et al. Jan 2006 A1
20060041283 Gelfand et al. Feb 2006 A1
20060050539 Yang et al. Mar 2006 A1
20060142822 Tulgar Jun 2006 A1
20060149345 Boggs, II et al. Jul 2006 A1
20060200205 Haller Sep 2006 A1
20060206166 Weiner Sep 2006 A1
20070025675 Kramer Feb 2007 A1
20070032834 Gliner et al. Feb 2007 A1
20070032836 Thrope et al. Feb 2007 A1
20070049988 Carbunaru et al. Mar 2007 A1
20070054804 Suty-Heinze Mar 2007 A1
20070055318 Forsberg et al. Mar 2007 A1
20070060980 Strother et al. Mar 2007 A1
20070073357 Rooney et al. Mar 2007 A1
20070100388 Gerber May 2007 A1
20070208227 Smith et al. Sep 2007 A1
20070239224 Bennett et al. Oct 2007 A1
20070245316 Bates et al. Oct 2007 A1
20070245318 Goetz et al. Oct 2007 A1
20070265675 Lund et al. Nov 2007 A1
20070270921 Strother et al. Nov 2007 A1
20070276441 Goetz Nov 2007 A1
20070293914 Woods et al. Dec 2007 A1
20080027514 DeMulling et al. Jan 2008 A1
20080065178 Kelleher et al. Mar 2008 A1
20080065182 Strother et al. Mar 2008 A1
20080071191 Kelleher et al. Mar 2008 A1
20080077192 Harry et al. Mar 2008 A1
20080081958 Denison et al. Apr 2008 A1
20080132961 Jaax et al. Jun 2008 A1
20080132969 Bennett et al. Jun 2008 A1
20080154335 Thrope et al. Jun 2008 A1
20080161874 Bennett et al. Jul 2008 A1
20080167694 Bolea et al. Jul 2008 A1
20080172109 Rahman et al. Jul 2008 A1
20080177348 Bolea et al. Jul 2008 A1
20080177365 Bolea et al. Jul 2008 A1
20080183236 Gerber Jul 2008 A1
20080215112 Firlik et al. Sep 2008 A1
20080269740 Bonde et al. Oct 2008 A1
20080278974 Wu Nov 2008 A1
20080306325 Burnett et al. Dec 2008 A1
20090018617 Skelton et al. Jan 2009 A1
20090036946 Cohen et al. Feb 2009 A1
20090036951 Heruth et al. Feb 2009 A1
20090048531 McGinnis et al. Feb 2009 A1
20090054804 Gharib et al. Feb 2009 A1
20090076565 Surwit Mar 2009 A1
20090088816 Harel et al. Apr 2009 A1
20090105785 Wei et al. Apr 2009 A1
20090112291 Wahlstrand et al. Apr 2009 A1
20090118788 Firlik et al. May 2009 A1
20090157141 Chiao et al. Jun 2009 A1
20090171381 Schmitz et al. Jul 2009 A1
20090204176 Miles et al. Aug 2009 A1
20090227829 Burnett et al. Sep 2009 A1
20090234302 Hoendervoogt et al. Sep 2009 A1
20090259273 Figueiredo et al. Oct 2009 A1
20090281596 King et al. Nov 2009 A1
20090287272 Kokones et al. Nov 2009 A1
20090287273 Carlton et al. Nov 2009 A1
20090306746 Blischak Dec 2009 A1
20100023084 Gunderson Jan 2010 A1
20100036445 Sakai et al. Feb 2010 A1
20100076254 Jimenez et al. Mar 2010 A1
20100076534 Mock Mar 2010 A1
20100100158 Thrope et al. Apr 2010 A1
20100114259 Herregraven et al. May 2010 A1
20100131030 Firlik et al. May 2010 A1
20100145427 Gliner et al. Jun 2010 A1
20100152808 Boggs, II Jun 2010 A1
20100152809 Boggs, II Jun 2010 A1
20100160712 Burnett et al. Jun 2010 A1
20100168820 Maniak et al. Jul 2010 A1
20100204538 Burnett et al. Aug 2010 A1
20100222629 Burnett et al. Sep 2010 A1
20100222847 Goetz Sep 2010 A1
20100317989 Gharib et al. Dec 2010 A1
20100318159 Aghassian et al. Dec 2010 A1
20110004264 Siejko et al. Jan 2011 A1
20110054562 Gliner Mar 2011 A1
20110071593 Parker et al. Mar 2011 A1
20110125214 Goetz et al. May 2011 A1
20110137378 Klosterman et al. Jun 2011 A1
20110144468 Boggs et al. Jun 2011 A1
20110152959 Sherwood et al. Jun 2011 A1
20110152987 Wahlgren et al. Jun 2011 A1
20110208263 Balzer et al. Aug 2011 A1
20110238136 Bourget et al. Sep 2011 A1
20110251662 Griswold et al. Oct 2011 A1
20110257701 Strother et al. Oct 2011 A1
20110278948 Forsell Nov 2011 A1
20110282416 Hamann et al. Nov 2011 A1
20110301662 Bar-Yoseph et al. Dec 2011 A1
20110301667 Olson et al. Dec 2011 A1
20110313268 Kokones et al. Dec 2011 A1
20120016447 Zhu et al. Jan 2012 A1
20120022611 Firlik et al. Jan 2012 A1
20120029382 Kelleher et al. Feb 2012 A1
20120041512 Weiner Feb 2012 A1
20120046712 Woods et al. Feb 2012 A1
20120071950 Archer Mar 2012 A1
20120095529 Parramon et al. Apr 2012 A1
20120101537 Peterson et al. Apr 2012 A1
20120109258 Cinbis et al. May 2012 A1
20120116741 Choi et al. May 2012 A1
20120119698 Karalis et al. May 2012 A1
20120130448 Woods et al. May 2012 A1
20120136413 Bonde et al. May 2012 A1
20120165899 Gliner Jun 2012 A1
20120197338 Su et al. Aug 2012 A1
20120197370 Kim et al. Aug 2012 A1
20120215285 Tahmasian et al. Aug 2012 A1
20120238893 Farquhar et al. Sep 2012 A1
20120253422 Thacker et al. Oct 2012 A1
20120253442 Gliner et al. Oct 2012 A1
20120259381 Smith et al. Oct 2012 A1
20120262108 Olson et al. Oct 2012 A1
20120265267 Blum et al. Oct 2012 A1
20120271376 Kokones et al. Oct 2012 A1
20120271382 Arcot-Krishnamurthy et al. Oct 2012 A1
20120274270 Dinsmoor et al. Nov 2012 A1
20120276854 Joshi et al. Nov 2012 A1
20120276856 Joshi et al. Nov 2012 A1
20120277621 Gerber et al. Nov 2012 A1
20120277828 O'Connor et al. Nov 2012 A1
20120277839 Kramer et al. Nov 2012 A1
20120290055 Boggs, II Nov 2012 A1
20120296395 Hamann et al. Nov 2012 A1
20120310299 Kaula et al. Dec 2012 A1
20120316630 Firlik et al. Dec 2012 A1
20130004925 Labbe et al. Jan 2013 A1
20130006325 Woods et al. Jan 2013 A1
20130006330 Wilder et al. Jan 2013 A1
20130006331 Weisgarber et al. Jan 2013 A1
20130023958 Fell Jan 2013 A1
20130041430 Wang et al. Feb 2013 A1
20130072998 Su et al. Mar 2013 A1
20130079840 Su et al. Mar 2013 A1
20130096641 Strother et al. Apr 2013 A1
20130096651 Ozawa et al. Apr 2013 A1
20130123568 Hamilton et al. May 2013 A1
20130131755 Panken et al. May 2013 A1
20130148768 Kim Jun 2013 A1
20130150925 Vamos et al. Jun 2013 A1
20130165814 Kaula et al. Jun 2013 A1
20130165991 Kim et al. Jun 2013 A1
20130172956 Goddard et al. Jul 2013 A1
20130178758 Kelleher et al. Jul 2013 A1
20130184773 Libbus et al. Jul 2013 A1
20130197608 Eiger Aug 2013 A1
20130207863 Joshi Aug 2013 A1
20130211479 Olson et al. Aug 2013 A1
20130226261 Sparks et al. Aug 2013 A1
20130245719 Zhu et al. Sep 2013 A1
20130245722 Ternes et al. Sep 2013 A1
20130261684 Howard Oct 2013 A1
20130261692 Cardinal et al. Oct 2013 A1
20130283030 Drew Oct 2013 A1
20130289659 Nelson et al. Oct 2013 A1
20130289664 Johanek Oct 2013 A1
20130289665 Marnfeldt et al. Oct 2013 A1
20130303828 Hargrove Nov 2013 A1
20130303942 Damaser et al. Nov 2013 A1
20130310891 Enrooth et al. Nov 2013 A1
20130310893 Yoo et al. Nov 2013 A1
20130310894 Trier Nov 2013 A1
20130325097 Loest Dec 2013 A1
20130331909 Gerber Dec 2013 A1
20130345777 Feldman et al. Dec 2013 A1
20140062900 Kaula et al. Mar 2014 A1
20140063003 Kaula et al. Mar 2014 A1
20140063017 Kaula et al. Mar 2014 A1
20140067006 Kaula et al. Mar 2014 A1
20140067014 Kaula et al. Mar 2014 A1
20140067016 Kaula et al. Mar 2014 A1
20140067354 Kaula et al. Mar 2014 A1
20140114385 Nijhuis et al. Apr 2014 A1
20140142549 Su et al. May 2014 A1
20140148870 Burnett May 2014 A1
20140163579 Tischendorf et al. Jun 2014 A1
20140163580 Tischendorf et al. Jun 2014 A1
20140163644 Scott et al. Jun 2014 A1
20140180361 Burdick et al. Jun 2014 A1
20140180363 Zhu et al. Jun 2014 A1
20140194771 Parker et al. Jul 2014 A1
20140194772 Single et al. Jul 2014 A1
20140194942 Sathaye et al. Jul 2014 A1
20140194948 Strother et al. Jul 2014 A1
20140222112 Fell Aug 2014 A1
20140235950 Miles et al. Aug 2014 A1
20140236257 Parker et al. Aug 2014 A1
20140237806 Smith et al. Aug 2014 A1
20140243931 Parker et al. Aug 2014 A1
20140249446 Gharib et al. Sep 2014 A1
20140249599 Kaula et al. Sep 2014 A1
20140257121 Feldman et al. Sep 2014 A1
20140277251 Gerber et al. Sep 2014 A1
20140277268 Lee Sep 2014 A1
20140277270 Parramon et al. Sep 2014 A1
20140288374 Miles et al. Sep 2014 A1
20140288375 Miles et al. Sep 2014 A1
20140288389 Gharib et al. Sep 2014 A1
20140296737 Parker et al. Oct 2014 A1
20140304773 Woods et al. Oct 2014 A1
20140324144 Ye et al. Oct 2014 A1
20140343628 Kaula et al. Nov 2014 A1
20140343629 Kaula et al. Nov 2014 A1
20140344733 Kaula et al. Nov 2014 A1
20140344740 Kaula et al. Nov 2014 A1
20140350636 King et al. Nov 2014 A1
20140379060 Hershey Dec 2014 A1
20150028798 Dearden et al. Jan 2015 A1
20150065047 Wu et al. Mar 2015 A1
20150066108 Shi et al. Mar 2015 A1
20150088227 Shishilla et al. Mar 2015 A1
20150094790 Shishilla et al. Apr 2015 A1
20150100106 Shishilla et al. Apr 2015 A1
20150123608 Dearden et al. May 2015 A1
20150134027 Kaula et al. May 2015 A1
20150214604 Zhao et al. Jul 2015 A1
20150231402 Aghassian Aug 2015 A1
20150360030 Cartledge et al. Dec 2015 A1
20160045724 Lee et al. Feb 2016 A1
20160045745 Mathur et al. Feb 2016 A1
20160045746 Jiang et al. Feb 2016 A1
20160045747 Jiang et al. Feb 2016 A1
20160045750 Drees et al. Feb 2016 A1
20160045751 Jiang et al. Feb 2016 A1
20160114167 Jiang et al. Apr 2016 A1
20160121123 Jiang et al. May 2016 A1
20160199659 Jiang et al. Jul 2016 A1
20160250462 Kroll et al. Sep 2016 A1
20170007836 Nassif Jan 2017 A1
20170128728 Nassif May 2017 A1
20170189679 Jiang et al. Jul 2017 A1
20170197079 Illegems et al. Jul 2017 A1
20170209703 Jiang et al. Jul 2017 A1
20170340878 Wahlstrand et al. Nov 2017 A1
20180000344 Melodia Jan 2018 A1
20180021587 Strother et al. Jan 2018 A1
20180036477 Olson et al. Feb 2018 A1
20180117344 Mathur et al. May 2018 A1
20180133491 Jiang et al. May 2018 A1
20180243572 Jiang et al. Aug 2018 A1
20180333581 Nassif Nov 2018 A1
20190009098 Jiang et al. Jan 2019 A1
20190269918 Parker Sep 2019 A1
20190321645 Jiang et al. Oct 2019 A1
20190351244 Shishilla et al. Nov 2019 A1
20190358395 Olson et al. Nov 2019 A1
20200078594 Jiang et al. Mar 2020 A1
Foreign Referenced Citations (200)
Number Date Country
520440 Sep 2011 AT
4664800 Nov 2000 AU
5123800 Nov 2000 AU
2371378 Nov 2000 CA
2554676 Sep 2005 CA
2957967 Nov 2018 CA
1745857 Mar 2006 CN
101495174 Jul 2009 CN
101626804 Jan 2010 CN
101721200 Jun 2010 CN
102164631 Aug 2011 CN
102176945 Sep 2011 CN
102202729 Sep 2011 CN
102215909 Oct 2011 CN
103002947 Mar 2013 CN
103079633 May 2013 CN
102307618 Mar 2014 CN
103796715 May 2014 CN
106999709 Aug 2017 CN
107073257 Aug 2017 CN
107078258 Aug 2017 CN
107148294 Sep 2017 CN
107427675 Dec 2017 CN
107073258 Feb 2020 CN
3146182 Jun 1983 DE
102010006837 Aug 2011 DE
0656218 Jun 1995 EP
1205004 May 2002 EP
1680182 Jul 2006 EP
1904153 Apr 2008 EP
2243509 Oct 2010 EP
1680182 May 2013 EP
1904153 Apr 2015 EP
3180071 Jun 2017 EP
3180072 Jun 2017 EP
3180073 Jun 2017 EP
3180075 Jun 2017 EP
3319683 May 2018 EP
3180072 Nov 2018 EP
3242712 Apr 2019 EP
2395128 Feb 2013 ES
1470432 Apr 1977 GB
1098715 Mar 2012 HK
048370 Jan 1992 JP
2003047179 Feb 2003 JP
2005261662 Sep 2005 JP
2007505698 Mar 2007 JP
2007268293 Oct 2007 JP
4125357 Jul 2008 JP
2008525089 Jul 2008 JP
2011529718 Dec 2011 JP
2013500081 Jan 2013 JP
2013525017 Jun 2013 JP
2013541381 Nov 2013 JP
2013542836 Nov 2013 JP
2014033733 Feb 2014 JP
2014514043 Jun 2014 JP
2017523867 Aug 2017 JP
2017523868 Aug 2017 JP
2017523869 Aug 2017 JP
2017529898 Oct 2017 JP
2018501024 Jan 2018 JP
6602371 Nov 2019 JP
20050119348 Dec 2005 KR
9639932 Dec 1996 WO
9820933 May 1998 WO
9918879 Apr 1999 WO
9934870 Jul 1999 WO
9942173 Aug 1999 WO
0002623 Jan 2000 WO
0019939 Apr 2000 WO
0019940 Apr 2000 WO
0056677 Sep 2000 WO
0001320 Nov 2000 WO
0065682 Nov 2000 WO
0066221 Nov 2000 WO
0069012 Nov 2000 WO
0078389 Dec 2000 WO
0183029 Nov 2001 WO
0193759 Dec 2001 WO
0203408 Jan 2002 WO
0209808 Feb 2002 WO
0137728 Aug 2002 WO
02072194 Sep 2002 WO
02072194 Mar 2003 WO
02078592 Mar 2003 WO
03026739 Apr 2003 WO
03043690 May 2003 WO
03005887 Aug 2003 WO
03035163 Sep 2003 WO
03066162 Mar 2004 WO
2004021876 Mar 2004 WO
2004036765 Apr 2004 WO
03026482 May 2004 WO
2004047914 Jun 2004 WO
2004052448 Jun 2004 WO
2004052449 Jun 2004 WO
2004058347 Jul 2004 WO
2004064634 Aug 2004 WO
2004066820 Aug 2004 WO
2004087256 Oct 2004 WO
03037170 Dec 2004 WO
2004103465 Dec 2004 WO
2005000394 Jan 2005 WO
2005002664 Mar 2005 WO
2005002665 Jun 2005 WO
2005032332 Aug 2005 WO
2005079295 Sep 2005 WO
2005081740 Sep 2005 WO
2005105203 Nov 2005 WO
2005123185 Dec 2005 WO
2006012423 Feb 2006 WO
2006019764 Feb 2006 WO
2005081740 Mar 2006 WO
2006029257 Mar 2006 WO
2006091611 Aug 2006 WO
2006084194 Oct 2006 WO
2006116256 Nov 2006 WO
2006119015 Nov 2006 WO
2006119046 Nov 2006 WO
2006127366 Nov 2006 WO
2005087307 May 2007 WO
2007064924 Jun 2007 WO
2007064936 Jun 2007 WO
2007108863 Sep 2007 WO
2007089394 Nov 2007 WO
2007136694 Nov 2007 WO
2008021524 Feb 2008 WO
2008039242 Apr 2008 WO
2008049199 May 2008 WO
2008042902 Aug 2008 WO
2008106138 Sep 2008 WO
2009021080 Feb 2009 WO
2009042379 Apr 2009 WO
2009051539 Apr 2009 WO
2009051965 Apr 2009 WO
2009042172 Jul 2009 WO
2009091267 Jul 2009 WO
2009134478 Nov 2009 WO
2009137119 Nov 2009 WO
2009137683 Nov 2009 WO
2009139907 Nov 2009 WO
2009139909 Nov 2009 WO
2009139910 Nov 2009 WO
2010014055 Feb 2010 WO
2010014260 Feb 2010 WO
2009139917 Mar 2010 WO
2010042056 Apr 2010 WO
2010042057 Apr 2010 WO
2010065143 Jun 2010 WO
2010111321 Sep 2010 WO
2011011748 Jan 2011 WO
2011053607 May 2011 WO
2011053661 May 2011 WO
2011059565 May 2011 WO
2011100162 Aug 2011 WO
2011139779 Nov 2011 WO
2011153024 Dec 2011 WO
2012054183 Apr 2012 WO
2011156286 May 2012 WO
2011156287 Jun 2012 WO
2012075265 Jun 2012 WO
2012075281 Jun 2012 WO
2012075299 Jun 2012 WO
2012075497 Jun 2012 WO
2012135733 Oct 2012 WO
2012155183 Nov 2012 WO
2012155184 Nov 2012 WO
2012155185 Nov 2012 WO
2012155186 Nov 2012 WO
2012155187 Nov 2012 WO
2012155188 Nov 2012 WO
2012155189 Nov 2012 WO
2012155190 Nov 2012 WO
2012158766 Nov 2012 WO
2013028428 Feb 2013 WO
2013036630 Mar 2013 WO
2013141884 Sep 2013 WO
2013141996 Sep 2013 WO
2013155117 Oct 2013 WO
2013162709 Oct 2013 WO
2013165395 Nov 2013 WO
2014035733 Mar 2014 WO
2012003451 Apr 2014 WO
2014087337 Jun 2014 WO
2014089390 Jun 2014 WO
2014089392 Jun 2014 WO
2014089400 Jun 2014 WO
2014089405 Jun 2014 WO
2014089485 Jun 2014 WO
2013162708 Jul 2014 WO
2014151160 Sep 2014 WO
2014161000 Oct 2014 WO
2014172381 Oct 2014 WO
2016025909 Feb 2016 WO
2016025912 Feb 2016 WO
2016025913 Feb 2016 WO
2016025915 Feb 2016 WO
2016112398 Jul 2016 WO
2017011305 Jan 2017 WO
Non-Patent Literature Citations (75)
Entry
US 9,601,939 B2, 03/2017, Cong et al. (withdrawn)
Bu-802a: How Does Rising Internal Resistance Affect Performance? Understanding the Importance of Low Conductivity, Battery University, Available Online at: https://batteryuniversity.com/learn/article/rising_internal_resistance, Accessed from Internet on May 15, 2020, 10 pages.
DOE Handbook: Primer on Lead-Acid Storage Batteries, United States Department of Energy, Available Online at: htt12s://www.stan dards.doe.gov/standards- documents/ I 000/1084-bhdbk-1995/@@images/file, Sep. 1995, 54 pages.
Medical Electrical Equipment—Part 1: General Requirements for Safety, British Standard, BS EN 60601-1:1990-BS5724-1:1989, Mar. 1979, 200 pages.
Summary of Safety and Effectiveness, Medtronic InterStim System for Urinary Control, Apr. 15, 1999, pp. 1-18.
The Advanced Bionics Precision™ Spinal Cord Stimulator System, Advanced Bionics Corporation, Apr. 27, 2004, pp. 1-18.
UL Standard for Safety for Medical and Dental Equipment, Underwriters Laboratories 544, 4th edition, Dec. 30, 1998, 128 pages.
Barnhart et al., “A Fixed-Rate Rechargeable Cardiac Pacemaker”, Applied Physics Laboratory Technical Digest, Jan.-Feb. 1970, pp. 2-9.
Benditt et al., “A Combined Atrial/Ventricular Lead for Permanent Dual-Chamber Cardiac Pacing Applications”, Chest, vol. 83, No. 6, Jun. 1983, pp. 929-931.
Boiocchi et al., “Self-Calibration in High Speed Current Steering CMOS D/A Converters”, Advanced A-D and D-A Conversion Techniques and their Applications, Second International Conference on Cambridge, Jul. 1994, pp. 148-152.
Bosch et al., “Sacral (S3) Segmental Nerve Stimulation as a Treatment for Urge Incontinence in Patients with Detrusor Instability: Results of Chronic Electrical Stimulation Using an Implantable Neural Prosthesis”, The Journal of Urology, vol. 154, No. 2, Aug. 1995, pp. 504-507.
Boyce et al., “Research Related to the Development of an Artificial Electrical Stimulator for the Paralyzed Human Bladder: A Review”, The Journal of Urology, vol. 91, No. 1, Jan. 1964, pp. 41-51.
Bradley et al., “Further Experience with the Radio Transmitter Receiver Unit for the Neurogenic Bladder”, Journal of Neurosurgery, vol. 20, No. 11, Nov. 1963, pp. 953-960.
Broggi et al., “Electrical Stimulation of the Gasserian Ganglion for Facial Pain: Preliminary Results”, Acta Neurochirurgica, vol. 39, 1987, pp. 144-146.
Buhlmann et al., “Modeling of a Segmented Electrode for Desynchronizing Deep Brain Stimulation”, Frontiers in Neuroengineering, vol. 4, No. 15, Dec. 8, 2011, 8 pages.
Cameron et al., “Effects of Posture on Stimulation Parameters in Spinal Cord Stimulation”, Neuromodulation, vol. 1, No. 4, Oct. 1998, pp. 177-183.
Connelly et al., “Atrial Pacing Leads Following Open Heart Surgery: Active or Passive Fixation?”, Pacing and Clinical Electrophysiology, vol. 20, No. 10, Oct. 1997, pp. 2429-2433.
Fischell , “The Development of Implantable Medical Devices at the Applied Physics Laboratory”, Johns Hopkins Applied Physics Laboratory Technical Digest, vol. 13 No. 1, 1992, pp. 233-243.
Gaunt et al., “Control of Urinary Bladder Function with Devices: Successes and Failures”, Progress in Brain Research, vol. 152, 2006, pp. 1-24.
Ghovanloo et al., “A Small Size Large Voltage Compliance Programmable Current Source for Biomedical Implantable Microstimulators”, Proceedings of the 25th Annual International Conference of the Institute of Electrical and Electronics Engineers, Engineering in Medicine and Biology Society, Sep. 17-21, 2003, pp. 1979-1982.
Gudnason , “A Low-Power ASK Demodulator for Inductively Coupled Implantable Electronics”, Solid-State Circuits Conference, 2000, Esscirc 00, Proceedings of the 26rd European, Institute of Electrical and Electronics Engineers, Sep. 19, 2000, pp. 385-388.
Hansen et al., “Urethral Sphincter Emg as Event Detector for Neurogenic Detrusor Overactivity”, IEEE Transactions on Biomedical Engineering, vol. 54, No. 7, Jul. 31, 2007, pp. 1212-1219.
Helland , “Technical Improvements to be Achieved by the Year 2000: Leads and Connector Technology”, Rate Adaptive Cardiac Pacing, Springer Verlag, 1993, pp. 279-292.
Hidefjall , “The Pace of Innovation—Patterns of Innovation in the Cardiac Pacemaker Industry”, Linkoping University Press, 1997, 398 pages.
Ishihara et al., “A Comparative Study of Endocardial Pacemaker Leads”, Cardiovascular Surgery, Nagoya Ekisaikai Hospital, 1st Dept. of Surgery, Nagoya University School of Medicine, 1981, pp. 132-135.
Jonas et al., “Studies on the Feasibility of Urinary Bladder Evacuation by Direct Spinal Cord Stimulation. I. Parameters of Most Effective Stimulation”, Investigative Urology, vol. 13, No. 2, 1975, pp. 142-150.
Kakuta et al., “In Vivo Long Term Evaluation of Transcutaneous Energy Transmission for Totally Implantable Artificial Heart”, American Society for Artificial Internal Organs Journal, Mar.-Apr. 2000, pp. 1-2.
Lazorthes et al., “Chronic Stimulation of the Gasserian Ganglion for Treatment of Atypical Facial Neuralgia”, Pacing and Clinical Electrophysiology, vol. 10, Jan.-Feb. 1987, pp. 257-265.
Lewis et al., “Early Clinical Experience with the Rechargeable Cardiac Pacemaker”, The Annals of Thoracic Surgery, vol. 18, No. 5, Nov. 1974, pp. 490-493.
Liu et al., “A Neuro-Stimulus Chip with Telemetry Unit for Retinal Prosthetic Device”, Institute of Electrical and Electronics Engineers Journal of Solid-State Circuits, vol. 35, No. 10, Oct. 2000, 4 pages.
Love et al., “Experimental Testing of a Permanent Rechargeable Cardiac Pacemaker”, The Annals of Thoracic Surgery, vol. 17, No. 2, Feb. 1, 1974, pp. 152-156.
Love , “Pacemaker Troubleshooting and Follow-up”, Clinical Cardiac Pacing, Defibrillation, and Resynchronization Therapy, Chapter 24, 2007, pp. 1005-1062.
Madigan et al., “Difficulty of Extraction of Chronically Implanted Tined Ventricular Endocardial Leads”, Journal of the American College of Cardiology, vol. 3, No. 3, Mar. 1984, pp. 724-731.
McLennan , “The Role of Electrodiagnostic Techniques in the Reprogramming of Patients with a Delayed Suboptimal Response to Sacral Nerve Stimulation”, International Urogynecology Journal, vol. 14, No. 2, Jun. 2003, pp. 98-103.
Meglio , “Percutaneously Implantable Chronic Electrode for Radiofrequency Stimulation of the Gasserian Ganglion. A Perspective in the Management of Trigeminal Pain”, Acta Neurochirurgica, vol. 33, 1984, pp. 521-525.
Meyerson , “Alleviation of Atypical Trigeminal Pain by Stimulation of the Gasserian Ganglion via an Implanted Electrode”, Acta Neurochirurgica Supplementum , vol. 30, 1980, pp. 303-309.
Mingming , “Development of an Implantable Epidural Spinal Cord Stimulator With Emg Biofeedback”, China Master's Theses Full-text Database: Engineering Technology, vol. 2, No. 6, May 23, 2013, 64 pages.
Mitamura et al., “Development of Transcutaneous Energy Transmission System”, Available Online at https://www.researchgate.net/publication/312810915 Ch.28, Jan. 1988, pp. 265-270.
Nag et al., “Flexible Charge Balanced Stimulator With 5.6 fC Accuracy for 140 nC Injections”, Institute of Electrical and Electronics Engineers Transactions on Biomedical Circuits and Systems, vol. 7, No. 3, Jun. 2013, pp. 266-275.
Nakamura et al., “Biocompatibility and Practicality Evaluations of Transcutaneous Energy Transmission Unit for the Totally Implantable Artificial Heart System”, Journal of Artificial Organs, vol. 27, No. 2, 1998, pp. 347-351.
Nashold et al., “Electromicturition in Paraplegia. Implantation of a Spinal Neuroprosthesis”, Archives of Surgery., vol. 104, Feb. 1972, pp. 195-202.
Noblett , “Neuromodulation and the Role of Electrodiagnostic Techniques”, International Urogynecology Journal, vol. 21, No. 2, Dec. 2010, 13 pages.
Painter et al., “Implantation of an Endocardial Tined Lead to Prevent Early Dislodgement”, The Journal of Thoracic and Cardiovascular Surgery, vol. 77, No. 2, Feb. 1979, pp. 249-251.
Paralikar et al., “A Fully Implantable and Rechargeable Neurostimulation System for Animal Research”, 7th Annual International Institute of Electrical and Electronics Engineers Engineering in Medicine and Biology Society, Conference of Neural Engineering, Apr. 22-24, 2015, pp. 418-421.
Perez , “Lead-Acid Battery State of Charge vs. Voltage”, Available Online at http://www.rencobattery.com/resources/SOC vs-Voltage.pdf, Aug.-Sep. 1993, 5 pages.
Schaldach et al., “A Long-Lived, Reliable, Rechargeable Cardiac Pacemaker”, Engineering in Medicine, vol. 1: Advances in Pacemaker Technology, 1975, 34 pages.
Scheuer-Leeser et al., “Polyurethane Leads: Facts and Controversy”, PACE, vol. 6, Mar.-Apr. 1983, pp. 454-458.
Sivaprakasam et al., “A Variable Range Bi-Phasic Current Stimulus Driver Circuitry for an Implantable Retinal Prosthetic Device”, Institute of Electrical and Electronics Engineers Journal of Solid-State Circuits, Institute of Electrical and Electronics Engineers Service Center, Piscataway, vol. 40, No. 3, Mar. 1, 2005, pp. 763-771.
Smith , “Changing Standards for Medical Equipment”, UL 544 and UL 187 vs. UL 2601 (“Smith”), 2002, 8 pages.
Tanagho et al., “Bladder Pacemaker: Scientific Basis and Clinical Future”, Urology, vol. 20, No. 6, Dec. 1982, pp. 614-619.
Tanagho , “Neuromodulation and Neurostimulation: Overview and Future Potential”, Translational Androl Urol, vol. 1, No. 1, 2012, pp. 44-49.
Torres et al., “Electrostatic Energy-Harvesting and Battery-Charging CMOS System Prototype”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 56, No. 9, Dec. 22, 2008, pp. 1938-1948.
Van Paemel , “High-Efficiency Transmission for Medical Implants”, Institute of Electrical and Electronics Engineers Solid-State Circuits Magazine, vol. 3, No. 1, Jan. 1, 2011, pp. 47-59.
Von Arx et al., “A Wireless Single-Chip Telemetry-Powered Neural Stimulation System”, Institute of Electrical and Electronics Engineers International Solid-State Circuits Conference, ISSCC99, Session 12, Paper TP 12.6, Feb. 16, 1999, pp. 215-216.
Wang et al., “A 140-dB CMRR Low-Noise Instrumentation Amplifier for Neural Signal Sensing”, Asia-Pacific Conference on Circuits and Systems, Institute of Electrical and Electronics Engineers Asia Pacific Conference, Dec. 1, 2006, pp. 696-699.
Young , “Electrical Stimulation of the Trigeminal Nerve Root for the Treatment of Chronic Facial Pain”, Journal of Neurosurgery, vol. 83, No. 1, Jul. 1995, pp. 72-78.
U.S. Appl. No. 14/827,067, filed Aug. 14, 2015.
U.S. Appl. No. 14/827,074, filed Aug. 14, 2015.
U.S. Appl. No. 14/827,081, filed Aug. 14, 2015.
U.S. Appl. No. 14/827,095, filed Aug. 14, 2015.
U.S. Appl. No. 14/827,108, filed Aug. 14, 2015.
U.S. Appl. No. 14/991,649, filed Jan. 8, 2016.
U.S. Appl. No. 14/991,752, filed Jan. 8, 2016.
U.S. Appl. No. 14/991,784, filed Jan. 8, 2016.
U.S. Appl. No. 62/038,122, filed Aug. 15, 2014.
U.S. Appl. No. 62/038,131, filed Aug. 15, 2014.
U.S. Appl. No. 62/041,611, filed Aug. 25, 2014.
U.S. Appl. No. 62/101,666, filed Jan. 9, 2015.
U.S. Appl. No. 62/101,782, filed Jan. 9, 2015.
U.S. Appl. No. 62/101,884, filed Jan. 9, 2015.
U.S. Appl. No. 62/101,888, filed Jan. 9, 2015.
U.S. Appl. No. 62/101,897, filed Jan. 9, 2015.
U.S. Appl. No. 62/101,899, filed Jan. 9, 2015.
U.S. Appl. No. 62/110,274, filed Jan. 30, 2015.
U.S. Appl. No. 62/191,134, filed Jul. 10, 2015.
Related Publications (1)
Number Date Country
20200372996 A1 Nov 2020 US
Provisional Applications (1)
Number Date Country
62852875 May 2019 US