Abstract: A neuromodulation system, device, and method are disclosed. In an embodiment, a neuromodulation system includes a processor, a signal generator, a first electrode, and a second electrode. The processor in cooperation with the signal generator, the first electrode, and the second electrode are configured to deliver a transcutaneous stimulation to a mammal. The transcutaneous stimulation is configured by the processor for inducing voluntary movement in the mammal. The first electrode is positioned transcutaneously on a spinal cord and/or spinal cord dorsal roots of the mammal. Additionally, the second electrode is placed transcutaneously on or over at least one of the spinal cord and/or the spinal cord dorsal roots, a muscle, a nerve, or on or near a target end organ or bodily structure of the mammal. The second electrode is in communication with the first electrode through a hardwire or wireless connection.

Abstract: A neuromodulation system, device, and method are disclosed. In an embodiment, a neuromodulation system includes a processor, a signal generator, a first electrode, and a second electrode. The processor in cooperation with the signal generator, the first electrode, and the second electrode are configured to deliver a transcutaneous stimulation to a mammal. The transcutaneous stimulation is configured by the processor for inducing voluntary movement in the mammal. The first electrode is positioned transcutaneously on a spinal cord and/or spinal cord dorsal roots of the mammal. Additionally, the second electrode is placed transcutaneously on or over at least one of the spinal cord and/or the spinal cord dorsal roots, a muscle, a nerve, or on or near a target end organ or bodily structure of the mammal. The second electrode is in communication with the first electrode through a hardwire or wireless connection.

Abstract: A neuromodulation system and a method of inducing voluntary movement in a mammal with a spinal injury are disclosed. In an example, a neuromodulation system includes a processor, a signal generator, and at least one electrode. The processor, in cooperation with the signal generator and the at least one electrode are configured to deliver a transcutaneous stimulation to a mammal. The transcutaneous stimulation includes during a first time period, a transcutaneous electrical spinal cord stimulation (“tESCS”) applied to the mammal during physical conditioning of the mammal. The transcutaneous stimulation also includes during a second time period after the first time period, the tESCS applied to the mammal during reduced or no physical conditioning of the mammal. The tESCS applied during the first time period and the second time period is used to establish a functional baseline of the mammal.

Abstract: A neuromodulation system, device, and method are disclosed. In an embodiment, a neuromodulation method includes providing a neuromodulation system including a processor, a signal generator communicatively coupled to the processor, and at least one transcutaneous electrode communicatively coupled to the signal generator. The method also includes causing the at least one transcutaneous electrode to be applied a human patient having at least one dysfunctional spinal circuit. The method further includes facilitating transcutaneous electrical stimulation of the patient's spinal cord via the processor in cooperation with the signal generator causing activation of at least one spinal network (“SN”) to enable or improve voluntary movements of the patient's arms, trunk, and legs, or autonomic control of at least one of sexual activity, vasomotor activity, speech, swallowing, chewing, cardiovascular function, respiratory activity, body temperature, metabolic processes, or cognitive function.

Abstract: In one example embodiment, a neuromodulation system for inducing locomotor activity in a mammal, in cooperation with a signal generator and an electrode, delivers a signal with an overlapping high frequency pulse to a mammal.

Abstract: A neuromodulation system and a method of inducing voluntary movement in a mammal with a spinal injury are disclosed. In an example, a neuromodulation system includes a processor, a signal generator, and at least one electrode. The processor, in cooperation with the signal generator and the at least one electrode are configured to deliver a transcutaneous stimulation to a mammal. The transcutaneous stimulation includes during a first time period, a transcutaneous electrical spinal cord stimulation (“tESCS”) applied to the mammal during physical conditioning of the mammal. The transcutaneous stimulation also includes during a second time period after the first time period, the tESCS applied to the mammal during reduced or no physical conditioning of the mammal. The tESCS applied during the first time period and the second time period is used to establish a functional baseline of the mammal.

Abstract: Neuromodulation systems are described comprising a signal generator and at least one electrode. The at least one electrode can be configured to deliver a stimulation to a mammal, wherein the stimulation includes a biphasic signal and an overlapping high frequency pulse thereby inducing voluntary movement in the individual. Methods of administering the stimulation are also described.

Abstract: A system, method, and apparatus for identifying optimal or near optimal complex stimulation waveforms for a neurostimulator device or neuromodulation device are disclosed. An example method includes using a dueling bandits algorithm with correlation among stimulation arms to select a batch of stimulation arms for sequential application to a patient during a therapy session. Each of the stimulation arms specifies complex stimulation waveform parameter values. Feedback from applying the stimulation arms to the patient is recorded and used to update feedback reward values corresponding to at least some of the stimulation arms using a stimulation arm correlation index. A second batch of stimulations arms is selected based upon the updated feedback reward values and applied to a patient. The method is iteratively repeated over a number of therapy sessions until an optimal or near optimal batch of stimulation arms (defining complex stimulation waveforms) is determined.

Abstract: Neurostimulator devices are described. An example neurostimulator device includes a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord. The neurostimulator device also includes an interface and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the interface and performing a machine learning algorithm on the at least one complex stimulation pattern.

Abstract: A system, method, and apparatus for identifying optimal or near optimal complex stimulation waveforms for a neurostimulator device or neuromodulation device are disclosed. An example method includes using a dueling bandits algorithm with correlation among stimulation arms to select a batch of stimulation arms for sequential application to a patient during a therapy session. Each of the stimulation arms specifies complex stimulation waveform parameter values. Feedback from applying the stimulation arms to the patient is recorded and used to update feedback reward values corresponding to at least some of the stimulation arms using a stimulation arm correlation index. A second batch of stimulations arms is selected based upon the updated feedback reward values and applied to a patient. The method is iteratively repeated over a number of therapy sessions until an optimal or near optimal batch of stimulation arms (defining complex stimulation waveforms) is determined.

Abstract: In one example embodiment, a neuromodulation system for inducing locomotor activity in a mammal, in cooperation with a signal generator and an electrode, delivers a signal with an overlapping high frequency pulse to a mammal.

Abstract: Neuromodulation systems are described comprising a signal generator and at least one electrode. The at least one electrode can be configured to deliver a stimulation to a mammal, wherein the stimulation includes a biphasic signal and an overlapping high frequency pulse thereby inducing voluntary movement in the individual. Methods of administering the stimulation are also described.

Abstract: Methods are described comprising: administering to a mammal with a paralysis an electrical enabling motor control stimulation to at a sub-threshold location, wherein the electrical enabling motor control stimulation provides spontaneous voluntary movement of at least one body part.

Abstract: In one example embodiment, a neuromodulation system for inducing locomotor activity in a mammal, in cooperation with a signal generator and an electrode, delivers a signal with an overlapping high frequency pulse to a mammal.

Abstract: Neuromodulation systems are described comprising a signal generator and at least one electrode. The at least one electrode can be configured to deliver a stimulation to a mammal, wherein the stimulation includes a biphasic signal and an overlapping high frequency pulse thereby inducing voluntary movement in the individual. Methods of administering the stimulation are also described.

Abstract: Neurostimulator devices are described. An example neurostimulator device includes a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord. The neurostimulator device also includes an interface and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the interface and performing a machine learning algorithm on the at least one complex stimulation pattern.

Abstract: Neurostimulator devices are described comprising: a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord; one or more sensors; and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the one or more sensors and performing a machine learning method implementing a Gaussian Process Optimization on the at least one complex stimulation pattern. Methods of use are also described.

Abstract: Neurostimulator devices and methods of using these devices are described. The neurostimulator devices can include a stimulation assembly connectable to a plurality of electrodes; one or more sensors; and at least one processor configured to modify at least one complex stimulation pattern.

Abstract: Described are devices including stimulation assemblies connectable to a plurality of electrodes. The plurality of electrodes can be configured to connect to a spinal cord at a location below a lesion of the spinal cord. The stimulation assembly can be configured to deliver stimulation to selected ones of the plurality of electrodes when the stimulation assembly is connected to the plurality of electrodes when located below the lesion of the spinal cord. Methods of using the devices are also described.

Abstract: In one example embodiment, a neuromodulation system for inducing locomotor activity in a mammal, in cooperation with a signal generator and an electrode, delivers a signal with an overlapping high frequency pulse to a mammal.