Abstract: Methods of enabling locomotor control, postural control, voluntary control of body movements (e.g., in non-weight bearing conditions), and/or autonomic functions in a human subject having a spinal cord injury, a brain injury, or a neurological neuromotor disease are described.

Abstract: The present invention relates to systems and methods for improvement of physiological function in an individual with a spinal cord injury via electrical stimulation of the spinal cord. A 3D model of the spinal cord is used to determine an initial position for an electrode array to deliver stimulation. Spinal cord electrical stimulation is configurable to target different physiological functions with surgical implantation of the neurostimulator at a singular location. Such systems and methods include (i) anatomical specificity to target the appropriate region of the spinal cord for stimulation, (ii) electrical specificity to provide the appropriate stimulation by delivery method, frequency, pulse duration, and other factors, and (iii) physiological specificity to evoke, suppress, increase, or decrease a specific physiological result.

Abstract: Methods for optimization of surgical placement of an implantable electrode for spinal cord epidural stimulation of a subject include creating a computational model of the subject spinal cord based on medical imagery, determining the position of the lumbosacral enlargement, and determining an optimal placement to maximize volumetric coverage of the lumbosacral enlargement by the implantable electrode.

Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.

Abstract: The present invention relates to methods for improvement in lower urinary tract function in an individual with neurogenic urological dysfunction through epidural stimulation of the spinal cord. In certain embodiments, the methods comprise applying a pattern of epidural electrical stimulation to the spinal cord of an individual with impaired lower urinary tract under stimulation parameters sufficient to improve the storage of fluid in the bladder, sensations of fullness and/or emptying, detrusor over-activity, high detrusor pressure, voiding the bladder, transitioning from a storage state to a voiding state, and decreasing detrusor-external urethral sphincter dyssynergia. In certain embodiments, additional patterns of epidural electrical stimulation may be applied simultaneously, such as to maintain a normotensive cardiovascular state of the individual.

Abstract: A respiratory training device providing both inspiratory and expiratory functional evaluation and training, as well as independent regulation of both the inspiratory and expiratory airway resistance levels used during training. The respiratory training device also includes data acquisition, recording, storage, retrieval and display functions for airway pressure monitoring data to provide functional evaluation, physiological monitoring, and diagnostic features. The respiratory training device allows the user to easily develop and follow precise and advanced training protocols, and utilize the respiratory device in both the clinical and home setting.

Abstract: Patients with spinal cord injuries have benefited from neurostimulation therapy comprising delivery of electrical stimulation to enable or excite neurological responses using an implantable neurostimulator having an electrode array. Dangerous levels of charge are avoided while providing multiple, simultaneous stimulation waveforms by inducing a short in an electrode when a monitored value reaches or exceeds a predetermined threshold.

Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.

Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.

Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.

Abstract: Disclosed herein are devices and methods used with neurostimulation therapy for spinal cord injury. More particularly, embodiments of the present invention relate to a sync pulse detector and methods for synchronizing signals from an implanted neurostimulator with measured physiological responses and other data.

Abstract: A closed loop system for control of spinal cord epidural stimulation includes a second controller hosting software for receiving, from at least one sensor, physiological data from a subject, generating a stimulation configuration based on the data, and transmitting the configuration to a first controller which operatively causes a neurostimulator to apply the stimulation configuration to the subject, the physiological results of such stimulation are monitored by the at least one sensor.

Abstract: Methods of enabling locomotor control, postural control, voluntary control of body movements (e.g., in non-weight bearing conditions), and/or autonomic functions in a human subject having a spinal cord injury, a brain injury, or a neurological neuromotor disease are described.

Abstract: Methods comprising applying electrical stimulation to patients in conjunction with physical training are described.

Abstract: Patients with spinal cord injuries have benefited from neurostimulation therapy comprising delivery of electrical stimulation to enable or excite neurological responses using an implantable neurostimulator having an electrode array. Dangerous levels of charge are avoided while providing multiple, simultaneous stimulation waveforms by inducing a short in an electrode when a monitored value reaches or exceeds a predetermined threshold.

Abstract: Disclosed herein are methods for neurostimulation therapy for spinal cord injury. More particularly, the present invention relates to methods for neurostimulation therapy for spinal cord injury. More particularly, the present invention relates to methods for providing multiple independent, simultaneous waveforms in neurostimulation therapy while minimizing or substantially eliminating undesirable interactions between the waveforms.

Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.

Abstract: Disclosed herein are methods for neurostimulation therapy for spinal cord injury. More particularly, the present invention relates to methods for neurostimulation therapy for spinal cord injury. More particularly, the present invention relates to methods for providing multiple independent, simultaneous waveforms in neurostimulation therapy while minimizing or substantially eliminating undesirable interactions between the waveforms.

Abstract: A respiratory training device providing both inspiratory and expiratory functional evaluation and training, as well as independent regulation of both the inspiratory and expiratory airway resistance levels used during training. The respiratory training device also includes data acquisition, recording, storage, retrieval and display functions for airway pressure monitoring data to provide functional evaluation, physiological monitoring, and diagnostic features. The respiratory training device allows the user to easily develop and follow precise and advanced training protocols, and utilize the respiratory device in both the clinical and home setting.

Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.