Abstract: A filtering algorithm implemented by a filtering module in an implantable medical device (IMD), or in an external device for communicating with an IMD, is disclosed which reviews blocks based on a number of rules. The filtering module preferably comprises both firewall and instruction analysis modules. The instruction analysis module analyzes the instructions and associated data (if present) in each block to determine whether such blocks would compromise operation of the IPG or injure a patient if executed. Instruction rules corresponding to an instruction identified in the block are retrieved by the instruction analysis module. The instruction analysis module reviews the block per the retrieved rules, and possibly also in light of current and historical IPG therapy setting or mode data, or other received but un-executed blocks. If a block is compliant, it is executed by the IMD or transmitted to the IMD.

Abstract: A neuromodulation customization system includes a field definition user interface, a neuromodulation signaling engine, and a supervisor engine. The field definition user interface is to facilitate entry of a customized electrotherapy field definition, with the field definition user interface including a set of input controls for defining field shape, field intensity, and field steering parameters of the customized electrotherapy field. The neuromodulation signaling engine is to produce commands for neuromodulation output circuitry to control generation of a customized electrotherapy field via a set of electrodes based on the customized electrotherapy field definition. The supervisor engine is to assess compliance of the customized electrotherapy field to be generated with applicable predefined criteria, and to modify generation of the customized electrotherapy field in response to an assessed non-compliance with the criteria.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: An example of a neurostimulation system may include one or more sensing devices and a patient assistance device. The sensing device(s) may be configured to sense one or more signals from a patient and may include one or more non-invasive sensing devices. The patient assistance device may be configured to assist the patient in use of a stimulation device and may include a communication circuit configured to receive the sensed signal(s), a user interface configured to allow for interactions with the patient, and a processing circuit which may be configured to receive patient-specific information including the sensed signal(s), to analyze the patient-specific information with neurostimulation algorithm information representative of available therapeutic options, to produce one or more recommendations related to use of the stimulation device for treating the patient based on the analysis, and to present at least one recommendation using the user interface.

Abstract: This document discusses, among other things, systems and methods to map an electrical waveform to a user-perceivable input. Some system examples include at least one electrode configured to sense neural activity in a patient, a mapping controller configured to receive an electrical waveform from the at least one electrode and map the sensed neural activity to a user-perceivable output based on the sensed neural activity, and a user interface operably connected to the mapping controller and configured to provide the user-perceivable output to a user.

Abstract: This document discusses, among other things, systems and methods to map an electrical waveform to a user-perceivable input. Some system examples include at least one electrode configured to sense neural activity in a patient, a mapping controller configured to receive an electrical waveform from the at least one electrode and map the sensed neural activity to a user-perceivable output based on the sensed neural activity, and a user interface operably connected to the mapping controller and configured to provide the user-perceivable output to a user.

Abstract: A filtering algorithm implemented by a filtering module in an implantable medical device (IMD), or in an external device for communicating with an IMD, is disclosed which reviews blocks based on a number of rules. The filtering module preferably comprises both firewall and instruction analysis modules. The instruction analysis module analyzes the instructions and associated data (if present) in each block to determine whether such blocks would compromise operation of the IPG or injure a patient if executed. Instruction rules corresponding to an instruction identified in the block are retrieved by the instruction analysis module. The instruction analysis module reviews the block per the retrieved rules, and possibly also in light of current and historical IPG therapy setting or mode data, or other received but un-executed blocks. If a block is compliant, it is executed by the IMD or transmitted to the IMD.

Abstract: A filtering algorithm implemented by a filtering module in an implantable medical device (IMD), or in an external device for communicating with an IMD, is disclosed which reviews blocks based on a number of rules. The filtering module preferably comprises both firewall and instruction analysis modules. The instruction analysis module analyzes the instructions and associated data (if present) in each block to determine whether such blocks would compromise operation of the IPG or injure a patient if executed. Instruction rules corresponding to an instruction identified in the block are retrieved by the instruction analysis module. The instruction analysis module reviews the block per the retrieved rules, and possibly also in light of current and historical IPG therapy setting or mode data, or other received but un-executed blocks. If a block is compliant, it is executed by the IMD or transmitted to the IMD.

Abstract: A neuromodulation customization system includes a field definition user interface, a neuromodulation signaling engine, and a supervisor engine. The field definition user interface is to facilitate entry of a customized electrotherapy field definition, with the field definition user interface including a set of input controls for defining field shape, field intensity, and field steering parameters of the customized electrotherapy field. The neuromodulation signaling engine is to produce commands for neuromodulation output circuitry to control generation of a customized electrotherapy field via a set of electrodes based on the customized electrotherapy field definition. The supervisor engine is to assess compliance of the customized electrotherapy field to be generated with applicable predefined criteria, and to modify generation of the customized electrotherapy field in response to an assessed non-compliance with the criteria.

Abstract: A neuromodulation customization system includes a field definition user interface, a neuromodulation signaling engine, and a supervisor engine. The field definition user interface is to facilitate entry of a customized electrotherapy field definition, with the field definition user interface including a set of input controls for defining field shape, field intensity, and field steering parameters of the customized electrotherapy field. The neuromodulation signaling engine is to produce commands for neuromodulation output circuitry to control generation of a customized electrotherapy field via a set of electrodes based on the customized electrotherapy field definition. The supervisor engine is to assess compliance of the customized electrotherapy field to be generated with applicable predefined criteria, and to modify generation of the customized electrotherapy field in response to an assessed non-compliance with the criteria.

Abstract: A method for programming a neurostimulator includes automatically performing a series of steps. One or more control elements may be actuated to select the series of steps from a plurality of series of steps stored in a memory of an external control device. One or more control elements may be actuated during the performance of the series of steps in order to cause one of the steps to pause, stop, restart, skip, or repeat. The series of steps may be a series of pre-programming steps, and the method may further include programming the neurostimulator after the series of pre-programming steps is performed. An external device for programming the neurostimulator includes control circuitry configured for automatically performing the series of steps, and a user interface including the one or more control elements configured for being actuated. The control device also includes the memory for storing the plurality of series of steps.

Abstract: This document discusses, among other things, systems and methods to map an electrical waveform to a user-perceivable input. Some system examples include at least one electrode configured to sense neural activity in a patient, a mapping controller configured to receive an electrical waveform from the at least one electrode and map the sensed neural activity to a user-perceivable output based on the sensed neural activity, and a user interface operably connected to the mapping controller and configured to provide the user-perceivable output to a user.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: This document discusses, among other things, systems and methods to map an electrical waveform to a user-perceivable input. Some system examples include at least one electrode configured to sense neural activity in a patient, a mapping controller configured to receive an electrical waveform from the at least one electrode and map the sensed neural activity to a user-perceivable output based on the sensed neural activity, and a user interface operably connected to the mapping controller and configured to provide the user-perceivable output to a user.

Abstract: An example of a neurostimulation system may include one or more sensing devices and a patient assistance device. The sensing device(s) may be configured to sense one or more signals from a patient and may include one or more non-invasive sensing devices. The patient assistance device may be configured to assist the patient in use of a stimulation device and may include a communication circuit configured to receive the sensed signal(s), a user interface configured to allow for interactions with the patient, and a processing circuit which may be configured to receive patient-specific information including the sensed signal(s), to analyze the patient-specific information with neurostimulation algorithm information representative of available therapeutic options, to produce one or more recommendations related to use of the stimulation device for treating the patient based on the analysis, and to present at least one recommendation using the user interface.

Abstract: A filtering algorithm implemented by a filtering module in an implantable medical device (IMD), or in an external device for communicating with an IMD, is disclosed which reviews blocks based on a number of rules. The filtering module preferably comprises both firewall and instruction analysis modules. The instruction analysis module analyzes the instructions and associated data (if present) in each block to determine whether such blocks would compromise operation of the IPG or injure a patient if executed. Instruction rules corresponding to an instruction identified in the block are retrieved by the instruction analysis module. The instruction analysis module reviews the block per the retrieved rules, and possibly also in light of current and historical IPG therapy setting or mode data, or other received but un-executed blocks. If a block is compliant, it is executed by the IMD or transmitted to the IMD.

Abstract: An example of a neurostimulation system may include a storage device to store a stimulation waveform, a programming control circuit to generate a plurality of stimulation parameters controlling delivery of neurostimulation pulses according to the stimulation waveform, and waveform definition circuit configured to create and adjust the stimulation waveform. The waveform definition circuit includes a charge recovery module that may include a stimulation to receive the stimulation waveform including charge injection phases, a charge recovery scheme input to receive a charge recovery scheme, and a waveform adjuster configured to identify a need for recovering charges injected during the charge injection phases and adjust the received stimulation waveform by automatically inserting charge recovery phases into the received stimulation waveform based on the identified need for recovering the injected charges and the received charge recovery scheme.

Abstract: A filtering algorithm implemented by a filtering module in an implantable medical device (IMD), or in an external device for communicating with an IMD, is disclosed which reviews blocks based on a number of rules. The filtering module preferably comprises both firewall and instruction analysis modules. The instruction analysis module analyzes the instructions and associated data (if present) in each block to determine whether such blocks would compromise operation of the IPG or injure a patient if executed. Instruction rules corresponding to an instruction identified in the block are retrieved by the instruction analysis module. The instruction analysis module reviews the block per the retrieved rules, and possibly also in light of current and historical IPG therapy setting or mode data, or other received but un-executed blocks. If a block is compliant, it is executed by the IMD or transmitted to the IMD.

Abstract: A method includes displaying, on a display coupled to a computer processor, a two-dimensional representation of an arrangement of electrodes of a lead having one or more segmented electrodes; displaying, by the computer processor and on the display, a three-dimensional clinical effects map with two of the dimensions of the clinical effects map corresponding to the two-dimensional representation of the arrangement of the electrode and a third dimension corresponding to a stimulation parameter; and displaying, by the computer processor and on the display, at least one marking on the clinical effects map. Each marking represents a stimulation instance and is displayed at a position corresponding to the electrode used for stimulation in the stimulation instance and a value of the stimulation parameter used for stimulation in the stimulation instance. Each marking has a graphical characteristic representing a therapeutic effect or a side-effect resulting from the stimulation instance.