The present invention relates to neurostimulation treatment systems and associated devices, as well as methods of treatment, implantation and configuration of such treatment systems.
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.
Current stimulation electrode placement/implantation techniques and known treatment setting techniques suffer from significant disadvantages. The nerve tissue structures of different patients can be quite different, with the locations and branching of nerves that perform specific functions and/or innervate specific organs being challenging to accurately predict or identify. The electrical properties of the tissue structures surrounding a target nerve structure may also be quite different among different patients, and the neural response to stimulation may be markedly dissimilar, with an electrical stimulation pulse pattern, pulse width, frequency, and/or amplitude that is effective to affect a body function of one patient and potentially imposing significant discomfort or pain, or having limited effect, on another patient. Even in patients where implantation of a neurostimulation system provides effective treatment, frequent adjustments and changes to the stimulation protocol are often required before a suitable treatment program can be determined, often involving repeated office visits and significant discomfort for the patient before efficacy is achieved. While a number of complex and sophisticated lead structures and stimulation setting protocols have been implemented to seek to overcome these challenges, the variability in lead placement results, the clinician time to establish suitable stimulation signals, and the discomfort (and in cases the significant pain) that is imposed on the patient remain less than ideal. In addition, the lifetime and battery life of such devices is relatively short, such that implanted systems are routinely replaced every few years, which requires additional surgeries, patient discomfort, and significant costs to healthcare systems.
The tremendous benefits of these neural stimulation therapies have not yet been fully realized. Therefore, it is desirable to provide improved neurostimulation methods, systems and devices, as well as methods for implanting and configuring such neurostimulation systems for a particular patient or condition being treated. It would be particularly helpful to provide such systems and methods so as to improve ease of use by the physician in positioning and configuring the system, as well as improve patient comfort and alleviation of symptoms for the patient. It would further be desirable to improve ease and accuracy of lead placement as well as improve determination and availability of effective neurostimulation treatment programs.
The present invention generally relates to neurostimulation treatment systems and associated devices and methods, and in particular to improved programming methods using electromyography (EMG) integrated with clinician programmers. 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 one aspect, methods in accordance with the present invention obtain and analyze electrode responses of an implanted neurostimulation lead for use in neurostimulation programming. Such methods include steps of determining a stimulation threshold for each of the electrodes with a clinician computing device by individually stimulating each electrode and increasing stimulation of the respective electrode until at least one desired neuromuscular response corresponding to stimulation of the target nerve is indicated by an EMG response obtained by the clinician computing device and recording the stimulation at which the response is evoked. In some embodiments, the method may include verifying a position and/or selection of an electrode with an EMG recording of a response to stimulation below a muscle activation threshold. In one aspect, programming is performing using an EMG recording of a single neuromuscular response, such as a big toe response. The EMG response can be recorded with the clinician computing device and used in determining one or more neurostimulation programs corresponding to one or more electrode configurations of the electrodes.
In another aspect, the clinician programmer determines multiple recommended electrode configurations for delivering a neurostimulation treatment based in part on thresholds and EMG recordings of neuromuscular responses to stimulation of one or more electrodes. The EMG recordings may be obtained from one or more pairs of EMG electrode patches positioned to record neuromuscular responses to stimulation of the one or more electrodes, which may include one or both of a big toe response or anal bellows. In one aspect, the desired neuromuscular response is a maximum CMAP at a lowest stimulation threshold or may be a particular response level determined by the clinician. In some embodiments, determining the stimulation threshold includes steps of receiving an input, with the clinician computing device and confirming a visual observation of the neuromuscular response indicated by the EMG response. Where the nerve targeted being targeted by the neurostimulation treatment is the sacral nerve, the neuromuscular response being measured by EMG typically include one or both of a big toe and an anal bellows response to stimulation.
In yet another aspect, methods in accordance with the invention pertain to programming of a neurostimulation device coupled with electrodes of a neurostimulation lead implanted near a target nerve. An example methods includes steps of: obtaining a stimulation threshold for each of the electrodes with a clinician programming device, wherein the stimulation threshold is based, at least in part, on an EMG recording of at least one neuromuscular response during stimulation of a given electrode; identifying one or more electrode configurations for delivering a neurostimulation treatment, at least in part, based on the stimulation thresholds obtained by the clinician programming device; and applying the one or more identified programs and obtaining an EMG recording with the clinician programming device. From the thresholds and EMG recording, the clinician program can determine one or more recommended electrode configuration for use in delivering neurostimulation therapy. In some embodiments, the stimulation threshold are obtained by the clinician programmer during programming, while in other embodiments the clinician programmer obtains stimulation thresholds measured during lead placement.
In another aspect, methods of programming a neurostimulation device include steps of applying one or more neurostimulation programs identified for the electrodes and verifying electrode position and/or electrode selection by obtaining an EMG recording of a big toe response at a given amplitude. The clinician programmer then determines a neurostimulation program from one or more identified programs based in part on the EMG recording of the big toe response such that the first neurostimulation program delivers stimulation at an amplitude sufficiently lower than the given amplitude so as to avoid an outwardly visible big toe response to stimulation delivered during long term therapy.
In one aspect, system setups that allow for improved programming of neurostimulation systems using EMG are provided. Such a setup may include a clinician programmer operatively coupled with an IPG or EPG of the neurostimulation system; an implantable lead coupleable to the clinician programmer, the lead having multiple electrodes; and at least one set of EMG sensing electrodes minimally invasively positionable on a skin surface or within the patient. The clinician programmer can be configured for: obtaining a stimulation threshold for each of the electrodes based, at least in part, on an EMG recording of at least one neuromuscular response during stimulation of a given electrode; identifying one or more electrode configurations based, at least in part, on the stimulation thresholds obtained by the clinician programming device; and applying the one or more identified programs and recording an EMG response with the clinician programming device. The clinician programmer can then determine a first neurostimulation program, or a set of programs for selection by a clinician, based in part on the EMG recordings.
In another aspect, methods of the invention pertain to determining multiple recommended electrode configurations of an implanted neurostimulation lead for selection by the clinician. Such methods may include steps of: obtaining a stimulation threshold value for each electrode lead with a clinician programming device; identifying cathode configurations of the electrode configurations with the clinician programming device; identifying anode configurations of the electrode configurations with the clinician programming device; and outputting the electrode configurations to a clinician on a graphical user interface display of the clinician programming device for modification and/or selection by the clinician.
In some embodiments, methods of programming include identifying cathode configurations by categorizing the electrodes in one of at least three different tiers based on the stimulation threshold values, the at least three different tiers including a first tier, a second tier and a third tier, the first tier denoting good electrodes for therapy delivery, the second tier denoting marginal electrodes for delivering therapy, and the third tier denoting electrodes unacceptable for delivering therapy. The electrodes are then ranked within each tier as to suitability for delivering neurostimulation therapy. The clinician programmer than assigned the cathode configurations based on the ranking of the electrodes, tiers and a pre-determined criteria.
In some embodiments, the pre-determined criteria by which the cathode configurations are determined, includes: (i) assigning single cathode configurations for each electrode in the first tier, prioritized from farthest pair to closest pair; (ii) assigning single cathode configurations for each electrode in the first tier, prioritized from lowest to highest threshold; (iii) assigning double cathode configurations for each pair of adjacent electrodes in the first tier, prioritized by lowest combined threshold; (iv) assigning single cathode configurations for each electrode in the second tier, prioritized from lowest to highest threshold; and (v) assigning double cathode configurations for each pair of adjacent electrodes from the first and second tiers, prioritized by lowest combined threshold. In one aspect, the criteria is applied in the order listed above. The criteria is applied until multiple suitable electrode configurations are determined. In an example embodiment, this method is performed by the clinician programmer until at least four recommended electrode configurations are determined, which are then displayed on a graphical user interface of the clinician programmer for modification and/or selection by the clinician for delivery of the neurostimulation therapy.
Such methods of determining electrode configurations for neurostimulation programming can further include identifying anode configurations according to certain other criteria. For example, the method may assign as an anode for each cathode configuration an electrode that is furthest from the assigned cathode when the desired therapy is bipolar or assign as an anode a can or housing of the IPG when the desired therapy is monopolar. In some embodiments, the method may assign the can as an anode in a bipolar therapy. In some embodiments, methods of determining electrode configuration include measuring impedance of each electrode and/or obtaining subjective data from the patient as to any negative effects associated with stimulation of any electrodes and excluding any electrodes with unacceptable impedance levels or any electrodes that result in negative effects for the patient. The clinician device may be configured to perform these impedance measurements and/or to receive the subjective patient data.
In yet another aspect, methods of reprogramming a neurostimulation device are provided. Such methods can include establishing communication with the neurostimulation device using a clinician programming device; obtaining, with the clinician programming device, a first therapy program stored on a memory of the neurostimulation device, the first therapy program being selected as a current therapy delivered by the neurostimulation device; determining a second therapy program with the clinician programming device; and storing the second therapy program on the neurostimulation device with the clinician programming device, the second therapy program being selected as the current therapy delivered by the neurostimulation device. Determining the second therapy program can include adjusting one or more parameters of the first therapy program with the clinician programming device.
Such reprogramming methods can include obtaining, with the clinician programming device, the most recent therapy programs applied by the implanted neurostimulation device and determining a new therapy program based on one or more of the therapy programs last applied. The most recently applied therapy programs can be stored on a memory of the neurostimulation device such that any clinician programmer can be used for reprogramming according to such methods, even if the clinician programmer was not used for initial programming.
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.
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 embodiments, the invention relates to sacral nerve stimulation treatment systems configured to treat bladder dysfunctions, including overactive bladder (“OAB”), as well as fecal dysfunctions and relieve symptoms associated therewith. For ease of description, the present invention may be described in its use for OAB, it will be appreciated however that the present invention may also be utilized for any variety of neuromodulation uses, such as bowel disorders (e.g., fecal incontinence, fecal frequency, fecal urgency, and/or fecal retention), 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 (or neuromodulation as may be used interchangeably hereunder) 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 and fecal 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. Bowel disorders may include any of the variety of inflammatory, motility, and incontinence conditions.
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 40 million Americans suffer from OAB. Of the adult population, about 16% of all men and 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 (BTX), Percutaneous Tibial Nerve Stimulation (PTNS) and Sacral Nerve Stimulation (SNM). BTX is administered via a series of intradetrusor injections under cystoscopic guidance, but repeat injections of BTX are generally required every 4 to 12 months to maintain effect and BTX may undesirably result in urinary retention. A number or randomized controlled studies have shown some efficacy of BTX injections in OAB patients, but long-term safety and effectiveness of BTX for OAB is largely unknown.
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, there is limited data on PTNS effectiveness beyond 3-years and PTNS is not recommended for patients seeking a cure for urge urinary incontinence (UUI) (e.g., 100% reduction in incontinence episodes) (EAU Guidelines).
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 the Percutaneous Nerve Evaluation (PNE) and the other is a staged trial.
In the PNE, 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 the PNE 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 PNE 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
In regard to measuring outcomes for SNM treatment of voiding dysfunction, the voiding dysfunction indications (e.g., 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. For fecal incontinence patients, the outcome measures captured by the voiding diary include: number of leaking episodes per week, number of leaking days per week, and degree of urgency experienced before each leak.
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 pelvic and/or 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 pelvic and/or pudendal nerve afferents originating from the pelvic organs into the spinal cord. At the level of the spinal cord, these 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 pelvic and/or 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 results in partial or complete activation of the target nerve fibers, causes the augmentation or inhibition of neural activity in nerves, potentially the same or different than the stimulation target, that control the organs and structures associated with bladder and bowel function.
B. EMG Assisted Neurostimulation Lead Placement and Programming
While conventional sacral nerve stimulation approaches have shown efficacy in treatment of bladder and bowel related dysfunctions, there exists a need to improve positioning of the neurostimulation leads and consistency between the trial and permanent implantation positions of the lead as well as to improve methods of programming. 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 (e.g., 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, PNE 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 (Stage 1) 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 measurable 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 System Embodiments
In one aspect, the CP 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 CP can be a tablet computer used by the clinician to program the IPG, or to control the EPG during the trial period. The CP 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 CP 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 CP generally includes a graphical user interface, an EMG module, 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 (e.g., 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 (e.g., a muscle innervated-by a target nerve). Other connectors of the CP may be configured for coupling with an electrical ground or ground patch, an electrical pulse generator (e.g., an EPG or an IPG), or the like. As noted above, the CP 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 other aspects, the CP 60 allows the clinician to read the impedance of each electrode contact whenever the lead is connected to an EPG, an IPG or a CP 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 CP 60 is also able to save and display previous (e.g., up to the last four) programs that were used by a patient to help facilitate re-programming. In some embodiments, the CP 60 further includes a USB port for saving reports to a USB drive and a charging port. The CP is configured to operate in combination with an EPG when placing leads in a patient body as well with the IPG during programming. The CP can be electronically coupled to the EPG during test simulation through a specialized cable set or through wireless communication, thereby allowing the CP to configure, modify, or otherwise program the electrodes on the leads connected to the EPG. The CP may also include physical on/off buttons to turn the CP 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.
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, amplitude, 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
In some embodiments, the trial neurostimulation system utilizes an EPG 80 within an EPG patch 81 that is adhered to the skin of a patient and is coupled to the implanted neurostimulation lead 20 through a lead extension 22, which is coupled with the lead 20 through a connector 21. This extension and connector structure allows the lead to be extended so that the EPG patch can be placed on the abdomen and allows use of a lead having a length suitable for permanent implantation should the trial prove successful. This approach may utilize two percutaneous incisions, the connector provided in the first incision and the lead extensions extending through the second percutaneous incision, there being a short tunneling distance (e.g., about 10 cm) there between. This technique may also minimize movement of an implanted lead during conversion of the trial system to a permanently implanted system.
In one aspect, the EPG unit is wirelessly controlled by a patient remote and/or the CP 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 CP 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.
As shown in the detailed view of
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 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
The system may further include a patient remote 70 and CP 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
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, amplitude, 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 100 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 (e.g., continuous or cycling), and electrode configuration (e.g., 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.
As shown in
In some embodiment, such as that shown in
In one aspect, utilization of ceramic material provides an efficient, radio-frequency-transparent window for wireless communication with the external patient remote and clinician's programmer as the communication antenna is housed inside the hermetic ceramic case. This ceramic window has further facilitated miniaturization of the implant while maintaining an efficient, radio-frequency-transparent window for long term and reliable wireless communication between the IPG and external controllers, such as the patient remote and CP. The IPG's wireless communication is generally stable over the lifetime of the device, unlike prior art products where the communication antenna is placed in the header outside the hermetic case. The communication reliability of such prior art devices tends to degrade due to the change in dielectric constant of the header material in the human body over time.
In another aspect, the ferrite core is part of the charging coil assembly 15, shown in
In one aspect, the CP 60 is used to program the IPG/EPG according to various stimulation modes, which can be determined by the CP or selected by the physician using the CP. In some embodiments, the IPG/EPG may be configured with two stimulation modes: continuous mode and cycling mode. The cycling mode saves 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.
To activate an axon of a nerve fiber, one needs to apply an electric field outside of the axon to create a voltage gradient across its membrane. This can be achieved by pumping charge between the electrodes of a stimulator. Action potentials, which transmit information through the nervous system, are generated when the outside of the nerve is depolarized to a certain threshold, which is determined by the amount of current delivered. To generate continuous action potentials in the axon, this extracellular gradient threshold needs to be reached with the delivery of each stimulation pulse.
In conventional systems, a constant voltage power source is able to maintain the output voltage of the electrodes, so that enough current is delivered to activate the axon at initial implantation. However, during the first several weeks following implantation, tissue encapsulation around electrodes occurs, which results in an impedance (tissue resistance) increase. According to the ohms' law (I=V/R where I is the current, V the voltage and R the tissue impedance of the electrode pair), current delivered by a constant voltage stimulator will therefore decrease, generating a smaller gradient around the nerve. When the impedance reaches a certain value, extracellular depolarization will go down below the threshold value, so that no more action potential can be generated in the axon. Patients will need to adjust the voltage of their system to re-adjust the current, and restore the efficacy of the therapy.
In contrast, embodiments of the present invention utilize a constant current power source. In one aspect, the system uses feedback to adjust the voltage in such a way that the current is maintained regardless of what happens to the impedance (until one hits the compliance limit of the device), so that the gradient field around the nerve is maintained overtime. Using a constant current stimulator keeps delivering the same current that is initially selected regardless the impedance change, for a maintained therapeutic efficacy.
D. Workflows for Lead Placement, Programming and Reprogramming with CP
FIGS. 8A1-8A3 and 8B illustrate schematics of the workflow used in lead placement and programming of the neurostimulation system using a CP with EMG assist, in accordance with aspects of the invention. FIGS. 8A1-8A3 schematically illustrates a detailed overview of the use of a CP having a graphical user interface for lead placement and subsequent programming, which may include initial programming and reprogramming.
III. Neurostimulation Lead Placement with EMG
Placement of the neurostimulation lead requires 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 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 are used for locating the correct sacral foramen for implant lead and subsequent acute stimulation testing. The physician locates 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 are 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.
A. EMG Assisted System Setup for Neural Localization and Lead Placement
In one aspect, the system utilizes EMG to improve the accuracy and resolution of neural localization with the foramen needle as well as to improve consistency and ease of performing each of neural localization and lead placement, as well as subsequent programming of the implanted neurostimulation system. In certain aspects of the invention, the system setups aim to use standard EMG recording techniques to create a unique approach to implanting a lead near the third sacral nerve and subsequent programming of electrical stimulation of the nerve. Such an approach is made feasible by integration of EMG recording, display and analysis with the CP, which is operatively coupled with the neurostimulation lead and used during lead placement and subsequent programming. Another advantageous aspect of this approach is that the use of proportional increases in stimulation amplitude during test stimulation and programming reduces the time required for these activities, as well as improve the ease with which the procedures can be conducted. In addition, recording of motor and sensory responses and stimulation amplitude thresholds directly into the CP during lead placement and conversion of these responses into feedback on the quality of lead placement and programming recommendations. Another advantageous aspect of this EMG assisted approach is that measurement and analysis of only one neuromuscular response, preferably the “big toe response,” can be used as an indicator of appropriate stimulation amplitude for effective treatment during programming of the neurostimulation system. In another aspect, automation of these aspects within the CP can further reduce the duration and complexity of the procedure and improve consistency of outcomes. For example, automation of electrode threshold determinations based on EMG responses can provide rapid feedback during lead placement and to identify optimal programming parameters.
In one aspect, the EMG signal is used to evaluate placement quality and programming quality based on stimulation amplitude to evoke a response. The EMG responses are measured based on one of several approaches for quantifying the compound muscle action potential (CMAP). Referring to the EMG waveform shown in
B. Neural Localization with Foramen Needle
In conventional approaches, the foramen needle is positioned in an area adjacent the targeted nerve and energized until the desired muscle response is observed that is indicative of the targeted nerve being stimulated. A lead with multiple electrodes is inserted at approximately the same location as the foramen needle under the assumption that one or more of the electrodes will be in a position suitable for stimulating the targeted nerve. One of the drawbacks associated with this approach is that the position of the lead may differ slightly from the position of the foramen needle. In addition, since the foramen needle identifies a particular point location of the targeted nerve and the neurostimulation electrodes are disposed along a length of the lead, often the lead may be misaligned. For example, after successfully locating the target nerve with a foramen needle and inserting the neurostimulation lead, the lead may intersect the point located with the foramen needle but extend transverse or askew of the target nerve such that neurostimulation electrodes more distal and proximal of the intersecting point do not provide effective neurostimulation of the target nerve when energized, thereby limiting the neurostimulation programs available, which may lead to sub-optimal patient outcomes. Thus, while the foramen needle is effective in locating the target nerve at a particular point, often it does not provide enough resolution to ensure that the neurostimulation lead is properly positioned and aligned with the target nerve along the entire length on which the neurostimulation electrodes are disposed.
In accordance with aspects of the present invention, the recorded EMG is used to facilitate neural localization with a foramen needle. Typically, a foramen needle includes a discrete electrode that is stimulated until a desired neuromuscular response is observed. In one aspect, the stimulation level is increased until a desired EMG response (e.g. anal bellows and/or big toe) is recorded, at which point the associated amplitude is recorded as well, typically at a constant current. The user may increase the stimulation level in desired increments or the system may automatically increase the stimulation until the EMG response is recorded.
As shown in
In some embodiments, the display provides feedback to the user (e.g. color coding) as to whether the foramen needle is at the targeted nerve based on the EMG and amplitude measurements. For example, the tip of the foramen representation may be green to indicate a “good” position: (<2 mA); yellow may indicate an “ok” position (2-4 mA) and red may indicate a “bad” position (>4 mA). In some embodiments, the system is configured such that amplitude adjustment is performed in auto-adjusting increments. In one example, from 0-1 mA, step-size is 0.05 mA; from 1-2 mA, step-size is 0.1 mA; from 2 mA-3 mA, step-size is 0.2 mA; and from 2 mA+, step-size is 0.25 mA. In some embodiments, the system may include an option to turn off auto-adjusting increments and use fixed increments, such as fixed increments of 0.05 or 0.1 mA.
C. Lead Placement with EMG
After neural localization is complete, the neurostimulation lead is advanced to the target location identified during neural localization. Typically, a neurostimulation lead include multiple electrodes along a distal portion of the lead, as can be seen in
In one aspect, the system provides improved lead placement by determining lead position of a multi-electrode lead relative the target nerve with EMG using an electrode sweeping process. This approach allows for fine tuning of lead placement. This feature utilizes a four-channel connecting cable so as to allow the system to energize each electrode in rapid succession without requiring separate attachment and detachment on each electrode with a J-clip or alligator slip, such as is used in convention methods. This aspect is advantageous since utilization of a J-clip or alligator clip to make contacts to tightly pitched electrode is difficult and time consuming and could potentially result in movement of the lead during testing.
In the sweeping process, the system identifies a principal electrode. This may be a default selection by the system or selected by the physician using the CP. The stimulation of the principal electrode is adjusted until an adequate motor response with a maximum amplitude CMAP is obtained at which point the stimulation level or amplitude is recorded. The system then sweeps through all the remaining electrodes of the lead with the same stimulation level and records the EMG responses from each electrode. Typically, the sweeping process is performed rapidly. For example each contact can be stimulated individually at the same stimulation level for 1 second such that the entire sweeping cycle can be conducted in about 4-5 seconds for a four-electrode lead. The system can determine responses for each electrode that can be used to indicate the relative distances of each electrode from the target nerve, which may also be recorded for subsequent use in programming of the EPG or IPG. There are several options as to how this sweeping process can be used to facilitate fine tuning of lead placement, including the following two options.
Option 1:
In one approach, the EMG response value for each electrode can be indicated on a graphical user interface display of the clinician programmer. For example, the response value can be indicated by color coding the electrodes on the display (see
Option 2:
In another approach, the response value is illustrated in terms of the distance to the target nerve determined based on the relative response value of each electrode. In one aspect, the R-values may be converted to relative distance which allows for ready interpretation of a relative position of the electrode to the target nerve. Examples of these R-value and distance curves in regard to differing positions of the leads are described in
The axial position of the lead relative the target nerve can be reflected using the R-values for each electrode obtained during sweeping. If the lead is too shallow, the R-value curves obtained may resemble
If the lead is too shallow, the R-value curves obtained may resemble
In another aspect, the lateral displacement of the lead relative the target nerve due to tilting or angling can be reflected using the R-values obtained during the sweeping process. For example,
In some embodiments, the R-value and/or distance curves may be determined by the system and used to communicate a suggestion to the clinician, such as with the CP, as to whether the lead should be advanced, retracted or steered. In other embodiments, the R-values and/or the associated curves may be displayed on a graphical user interface of the CP so as to provide a visual indicator of the robustness of each electrode and/or its relative location. In one aspect, a suitable lead position is one in which at least three of the four electrodes are disposed adjacent to and along the targeted nerve. Due to the unique shapes of nerve structures, an optimal lead position in which all electrodes are adjacent the target nerve may not always be readily achievable.
After selection of a principal electrode, the CP performs a test stimulation on the 4-channel lead, which is typically a quick check across all electrodes of the lead (e.g., sweep). In one aspect, the CP records the EMG waveform displays 62 and 63 and the amplitude threshold reading for each selected electrode during this test stimulation. From this test stimulation, the CP 60 may display the suitability of each electrode for neurostimulation in the electrode status display 64 by a color coding or other suitable indicator. For example, in the electrode status display 64 in
D. Electrode Threshold Determination/Validation of Lead Placement
As shown in
In one aspect, the CP 60 connects to the EPG/IPG and establishes communication, which may be indicated on the graphical user interface as shown in
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 subsequent determinations of electrode recommendation and programming, discussed in further detail below. 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. Advantageously, as the positioning and programming functionality are integrated in many embodiments of the clinician programmer, at least some of the validation thresholds may be correlated to the subsequent stimulation programming, so that (for example) positioning is validated for a particular programming protocol to be used with that patient. Regardless, stimulation programming protocols may employ EMG data obtained during lead positioning or validation to more efficiently derive suitable neurostimulation treatment parameters for that patient.
While the above illustrates an example method of integrating the CP 60 with EMG measurements to assist in placement of the lead it is appreciated that various other aspects and features may be used in accordance with aspects of the invention. The following Table 2 illustrates various features of EMG enhanced lead placement used in a various devices as well as various other alternative features.
IV. Neurostimulation Programming with EMG
After implantation of the lead and placement of the neurostimulation is verified with the CP using EMG, the CP can be used outside the operating room to program the IPG/EPG for delivery of the neurostimulation treatment. Programming may be performed using thresholds obtained from EMG obtained during and/or after lead placement and tested using EMG data associated with at least one neuromuscular response.
A. EMG Assisted Programming Setup
In one aspect, the integration of the EMG recording and display into the clinician tool used for lead placement and programming provides significant advantages over conventional programming methods, including a reduction in time required to determine a program that is efficacious in providing relief for the treated condition. In addition, the use of proportional increases in stimulation amplitude during test programming further reduces the time required for these activities. Recording of motor and sensory responses and stimulation amplitude thresholds directly into the CP during lead placement and conversion of these responses into feedback improves quality of programming recommendations. In another aspect, methods may utilize an EMG recording of a single neuromuscular response (e.g. big toe) to verify the appropriate electrode position and selection and then tune down the amplitude so as to avoid invoking the neuromuscular response during long term therapy stimulation. This aspect may simplify and reduce the time associated with programming of the neurostimulation device as well as improve patient comfort during programming and long term therapy. In another aspect, the CP is configured with an automated threshold determination based on EMG responses to provide rapid feedback during lead placement and to identify optimal programming parameters.
In some embodiments, the system is configured to have EMG sensing capability during re-programming, which is 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 at which the responses are not visible to the naked eye, and help them distinguish a motor response originated by sacral nerve stimulation from involuntary muscle movement.
In some embodiments, the system stores the last four programs used onboard a memory of the IPG/EPG. This is particularly advantageous for reprogramming as it allows a physician to access the most recent programs used in the neurostimulation with an entirely different CP that may not otherwise have access to the programming information. In another aspect, the programming data may be accessible online or on a cloud serve and associated with an unique identifier of a given IPG/EPG such that a different CP could readily access and download programming information as needed for re-programming.
B. Electrode Characterization
In one aspect, during lead placement, the CP 60 can utilize the thresholds previously recorded in characterizing each electrode as to its suitability for use in neurostimulation. In some embodiments, the CP 60 is configured to program the IPG/EPG with an EMG recording from only one muscle, either the anal bellows or the big toe response. Such programming can also utilize a visual observation of the response as well as the recorded maximum response amplitude. In one aspect, the CP 60 performs programming without requiring an anal bellow response observation or EMG waveform measurement of an anal bellows response. In some embodiments, the CP 60 performs programming using an EMG recording from only the big toe response, such as shown in
In one aspect, the EMG recording may be that obtained during lead placement, or more typically, obtained during programming so that the patient can provide subjective sensory response data concurrent with performing a big toe response with a given electrode during testing. The programming may further include visual observations of the big toe response and/or the maximum response amplitude obtained during programming. Allowing programming of the IPG/EPG without requiring an anal bellow response is advantageous since the patient is not under general anesthesia while programming is performed and the anal bellows response can be uncomfortable and painful for the patient. This also allows the CP to receive subjective sensory data from the patient during programming as to any discomfort, paresthesia or pain associated with stimulation of a particular electrode configuration. The following Table 3 shows various features of EMG-enabled neurostimulation programming of the IPG/EPG with the CP as used in various devices as well as alternative features.
In one aspect, the electrodes can be configured to deliver neurostimulation in varying electrode configurations, for example, neurostimulation may be delivered in a mono-polar mode from one or more of the electrodes in various combinations and sequences and/or in a bi-polar mode between two or more electrodes in various combinations and sequences. The suitability of the programming can be determined by use of the electrode characterizations described above determined from EMG recording of at least one neuromuscular response, typically the big toe response, and may further include visual response and amplitude data and subject sensory response data from the patient. From these characterizations, the CP determines multiple electrode configuration recommendations, which may be provided on the graphical user interface of the CP 60 on the Electrode Recommendation display 67 to allow the physician to review and select each recommendation for subsequent testing.
C. Electrode Configuration Recommendations
In one aspect, the system configuration determines multiple electrode configuration recommendations based on using electrode characterization and/or threshold data based in part on EMG recordings of the electrodes and provides the recommendations to the user.
In one aspect, the electrode configurations are determined based on the threshold data according to the following rules: (1) Assign single cathode configurations for each contact in the “Good” tier, prioritized from farthest pair to closest pair; (2) Assign single cathode configurations for each contact in the “Good” tier, prioritized from lowest to highest threshold; (3) Assign double cathode configurations for each pair of adjacent electrodes in “Good” tier, prioritized by lowest combined threshold; (4) Assign single cathode configurations for each contact in the “OK” tier, prioritized from lowest to highest threshold; and (5) Assign double cathode configurations for each pair of adjacent electrodes from “Good” and “OK” tiers, prioritized by lowest combined threshold. The anodes for the cathode configurations are assigned as follows: for monopolar configuration, the IPG housing or “can” is assigned as the anode; for bipolar configuration, the electrode furthest from the cathode with acceptable impedance is assigned as the anode.
After identification of the electrode configuration recommendations, the system presents the electrode configuration recommendations to the physician, typically on a user interface of the CP such as shown in
In one aspect, in an idealized setting in which each of the electrodes has a “good” impedance, the system simply recommends each of the contacts as a single cathode. Although it is desirable to have four “good” electrodes, it is acceptable to have at least three “good” electrodes for initial programming. The above algorithm recommends the best electrode selection for a given case. While each physician may have their own way to select electrode for programming, providing a set of electrode configuration recommendations that are easily viewed and selected by the physician helps standardize the process, reduce the duration of the procedure and provide improve patient outcomes, particularly for inexperienced implanters or minimally trained personnel.
In one aspect, the above algorithm assumes a single input parameter for the electrode threshold. In some embodiments, the system allows the physician to select, through the CP, what parameter(s) (sensory or motor responses or in combination) to use to determine the threshold for each electrode. The physician can also select whether to rely on EMG feedback or not for threshold determination. In another aspect, qualitative sensory feedback will be considered in electrode selection, e.g., if a patient reports unpleasant sensation for any specific electrode, this electrode will be excluded from being used as cathode. In another aspect, the algorithm prioritizes single cathode over double cathodes for all contacts in the “good” tier. In some embodiments, the electrodes are tiered according to the following tiers: “good”=“1-3 mA”; “ok”=“0.5-1 mA” and “3-4 mA”; “bad”=“<0.5 mA” and “>4 mA.”
D. Program Selection, Modification and Testing
In programming the neurostimulation system, an EMG signal can be used to evaluate programming quality by allowing user to see if a motor response is evoked by stimulation. In some embodiments, the user can manually observe EMG responses and enter the observations into the CP and try to set a stimulation amplitude at a level that evokes a desired motor response.
In the first electrode configuration recommendation in
In one aspect, the graphical user interface allows the user to adjust various parameters associated with each of the recommended electrode configurations being tested. For example, as shown in
In one aspect, after programming of the IPG/EPG in accordance with the above described methods, the patient evaluates the selected program over a pre-determined period of time. Typically, the patient is able to make limited adjustments to the program, such as increasing or decreasing the amplitude or turning the treatment off. If after the assessment period, the patient has not experienced relief from the treated condition or if other problems develop, the patient returns to the physician and a re-programming of the IPG/EPG is conducted with the CP in a process similar to the programming methods described above, to select an alternative electrode configuration from the recommended configuration or to develop a new treatment program that provides effective treatment.
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.
The present application is a divisional of U.S. application Ser. No. 15/375,041 entitled “METHODS FOR DETERMINING NEURO STIMULATION ELECTRODE CONFIGURATION BASED ON NEURAL LOCALIZATION,” filed Dec. 9, 2016, which is a continuation of U.S. application Ser. No. 14/991,784 entitled “METHODS FOR DETERMINING NEUROSTIMULATION ELECTRODE CONFIGURATIONS BASED ON NEURAL LOCALIZATION,” filed on Jan. 8, 2016, now U.S. Pat. No. 9,533,155, which is a continuation of U.S. application Ser. No. 14/827,067 entitled “METHODS FOR DETERMINING NEUROSTIMULATION ELECTRODE CONFIGURATIONS BASED ON NEURAL LOCALIZATION,” filed on Aug. 14, 2015, now U.S. Pat. No. 9,855,423, which claims the benefit of priority of U.S. Provisional Application 62/041,611 filed on Aug. 25, 2014; and U.S. Provisional Application No. 62/101,897 filed on Jan. 9, 2015; the entire contents of which are incorporated herein by reference in their entireties. The present application is related to U.S. Non-Provisional patent application Ser. No. 14/827,074, entitled “Devices and Methods for Anchoring of Neurostimulation Leads”; U.S. Non-Provisional patent application Ser. No. 14/827,081, entitled “External Pulse Generator Device and Associated Methods for Trial Nerve Stimulation”; U.S. Non-Provisional patent application Ser. No. 14/827,108, entitled “Electromyographic Lead Positioning and Stimulation Titration in a Nerve Stimulation System for Treatment of Overactive Bladder”; and U.S. Non-Provisional patent application Ser. No. 14/827,095, entitled “Integrated Electromyographic Clinician Programmer For Use With an Implantable Neurostimulator”; and U.S. Provisional Application Nos. 62/101,666, entitled “Patient Remote and Associated Methods of Use With a Nerve Stimulation System” filed on Jan. 9, 2015; 62/101,884, entitled “Attachment Devices and Associated Methods of Use With a Nerve Stimulation Charging Device” filed on Jan. 9, 2015; 62/101,782, entitled “Improved Antenna and Methods of Use For an Implantable Nerve Stimulator” filed on Jan. 9, 2015; and 62/191,134, entitled “Implantable Nerve Stimulator Having Internal Electronics Without ASIC and Methods of Use” filed on Jul. 10, 2015; each of which is assigned to the same assignee and incorporated herein by reference in its entirety for all purposes.
Number | Name | Date | Kind |
---|---|---|---|
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 |
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 |
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 |
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 |
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 |
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 |
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 |
6191365 | Avellanet | Feb 2001 | B1 |
6208894 | Schulman 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 |
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 |
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 |
6542846 | Miller et al. | Apr 2003 | B1 |
6553263 | Meadows et al. | Apr 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 |
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 |
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 |
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 |
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 |
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 |
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 | Dec 2009 | B2 |
7643880 | Tanagho et al. | 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 |
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 |
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 |
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 |
8655451 | Klosterman et al. | Feb 2014 | B2 |
8672840 | Miles et al. | Mar 2014 | B2 |
8694115 | Goetz et al. | Apr 2014 | B2 |
8700175 | Fell | 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 |
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 |
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 |
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 |
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 et al. | 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 et al. | 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 |
9802038 | Lee 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 |
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 |
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 |
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 |
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 |
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 |
20020077572 | Fang et al. | Jun 2002 | A1 |
20020140399 | Echarri et al. | Oct 2002 | A1 |
20020169485 | Pless et al. | Nov 2002 | A1 |
20020177884 | Ahn et al. | Nov 2002 | 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 |
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 |
20050245987 | Woods et al. | Nov 2005 | A1 |
20060009816 | Fang et al. | Jan 2006 | A1 |
20060142822 | Tulgar | Jun 2006 | A1 |
20060149345 | Boggs 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 |
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 | 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 |
20080081958 | Denison et al. | Apr 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 |
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 |
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 |
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 |
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 |
20100076254 | Jimenez et al. | Mar 2010 | A1 |
20100076534 | Mock | Mar 2010 | A1 |
20100100158 | Thrope et al. | Apr 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 |
20100317989 | Gharib et al. | Dec 2010 | A1 |
20110004264 | Siejko et al. | Jan 2011 | A1 |
20110054562 | Gliner | Mar 2011 | A1 |
20110071593 | Parker et al. | Mar 2011 | A1 |
20110208263 | Balzer et al. | Aug 2011 | A1 |
20110238136 | Bourget et al. | Sep 2011 | A1 |
20110257701 | Strother et al. | Oct 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 |
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 |
20120101537 | Peterson et al. | Apr 2012 | A1 |
20120116741 | Choi et al. | May 2012 | A1 |
20120130448 | Woods et al. | May 2012 | A1 |
20120136413 | Bonde et al. | May 2012 | A1 |
20120165899 | Gliner | Jun 2012 | A1 |
20120197370 | Kim 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 |
20120265267 | Blum et al. | Oct 2012 | A1 |
20120271376 | Kokones et al. | Oct 2012 | A1 |
20120271382 | Arcot-Krishnamurthy et al. | Oct 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 |
20130006330 | Wilder et al. | Jan 2013 | A1 |
20130006331 | Weisgarber et al. | Jan 2013 | A1 |
20130041430 | Wang et al. | Feb 2013 | A1 |
20130072998 | Su et al. | Mar 2013 | A1 |
20130079840 | Su et al. | Mar 2013 | A1 |
20130123568 | Hamilton et al. | May 2013 | A1 |
20130131755 | Panken et al. | May 2013 | A1 |
20130150925 | Vamos et al. | Jun 2013 | A1 |
20130165814 | Kaula et al. | Jun 2013 | A1 |
20130165991 | Kim et al. | Jun 2013 | A1 |
20130178758 | Kelleher et al. | Jul 2013 | A1 |
20130197608 | Eiger | Aug 2013 | A1 |
20130207863 | Joshi | 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 |
20130289659 | Nelson et al. | Oct 2013 | A1 |
20130289664 | Johanek | Oct 2013 | A1 |
20130303828 | Hargrove | Nov 2013 | A1 |
20130310891 | Enrooth et al. | Nov 2013 | A1 |
20130310893 | Yoo et al. | Nov 2013 | A1 |
20130310894 | Trier | Nov 2013 | A1 |
20130331909 | Gerber | 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 |
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 |
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 |
20140277251 | Gerber et al. | 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 |
20150088227 | Shishilla et al. | Mar 2015 | A1 |
20150134027 | Kaula | May 2015 | A1 |
20150214604 | Zhao et al. | Jul 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 |
20160045751 | Jiang et al. | Feb 2016 | A1 |
20160114167 | Jiang et al. | Apr 2016 | A1 |
20160121123 | Jiang et al. | May 2016 | A1 |
20170189679 | Jiang | Jul 2017 | A1 |
20170197079 | Illegems et al. | Jul 2017 | A1 |
20170209703 | Jiang | Jul 2017 | A1 |
20170340878 | Wahlstrand et al. | Nov 2017 | A1 |
20180021587 | Strother et al. | Jan 2018 | A1 |
20180036477 | Olson et al. | Feb 2018 | A1 |
20190009098 | Jiang et al. | Jan 2019 | A1 |
20190269918 | Parker | Sep 2019 | A1 |
20190351244 | Shishilla et al. | Nov 2019 | A1 |
20190358395 | Olson et al. | Nov 2019 | A1 |
20200078594 | Jiang et al. | Mar 2020 | A1 |
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 |
101626804 | Jan 2010 | CN |
101721200 | Jun 2010 | CN |
102215909 | Oct 2011 | CN |
103002947 | Mar 2013 | CN |
102307618 | Mar 2014 | CN |
106999709 | Aug 2017 | CN |
107073257 | Aug 2017 | CN |
107078258 | Aug 2017 | CN |
107073258 | Feb 2020 | CN |
3146182 | Jun 1983 | 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 |
3180072 | Jun 2017 | EP |
3180073 | Jun 2017 | EP |
3180075 | Jun 2017 | EP |
3180072 | Nov 2018 | EP |
2395128 | Feb 2013 | ES |
1098715 | Mar 2012 | HK |
2007505698 | Mar 2007 | JP |
2007268293 | Oct 2007 | JP |
4125357 | Jul 2008 | JP |
2013500081 | Jan 2013 | JP |
2013541381 | Nov 2013 | JP |
2017523868 | Aug 2017 | JP |
2017523869 | Aug 2017 | JP |
2017529898 | Oct 2017 | JP |
6602371 | Oct 2019 | JP |
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 |
0069012 | Nov 2000 | WO |
0078389 | Dec 2000 | WO |
0183029 | Nov 2001 | WO |
0193759 | Dec 2001 | 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 |
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 |
2008021524 | Feb 2008 | WO |
2008039242 | Apr 2008 | WO |
2008042902 | Aug 2008 | WO |
2009021080 | Feb 2009 | WO |
2009042379 | Apr 2009 | WO |
2009051965 | Apr 2009 | WO |
2009042172 | Jul 2009 | WO |
2009134478 | Nov 2009 | WO |
2009137119 | 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 |
2010065143 | Jun 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 |
2013141996 | Sep 2013 | WO |
2013155117 | Oct 2013 | WO |
2013165395 | Nov 2013 | WO |
2014035733 | Mar 2014 | WO |
2012003451 | Apr 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 |
2014161000 | Oct 2014 | WO |
2014172381 | Oct 2014 | WO |
2016025912 | Feb 2016 | WO |
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, BatteryUniversity.com, 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, U.S. Dept. 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, UL 544, 4th edition, Dec. 30, 1998, 128 pages. |
Barnhart et al., “A Fixed-Rate Rechargeable Cardiac Pacemaker”, APL 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. |
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 APL 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 IEEE EMBS, Sep. 17-21, 2003, pp. 1979-1982. |
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”, ASAIO Journal, Mar.-Apr. 2000, pp. 1-2. |
Kester et al., “Voltage-to-Frequency Converters”, Available Online at: https://www.analog.com/media/cn/training-seminars/tutorials/MT-028.pdf, 7 pages. |
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. |
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 Suppiementum , vol. 30, 1980, pp. 303-309. |
Mingming Ju , “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. |
Nakamura et al., “Biocompatibility and Practicality Evaluations of Transcutaneous Energy Transmission Unit for the Totally Implantable Artifical 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”, Arch Surg., 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. |
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. |
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”, Available Online at: http://rincon mora.gatech.edu/12ublicat/jrnls/tcasi09_hrv_sys.pdf, pp. 1-10. |
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. 62/101,666, 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. |
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