There is provided a system, system architecture, and method for neural cross-frequency coupling analysis. In an embodiment, the method includes: receiving neural signals; extracting a phase frequency signal and an amplitude frequency envelope signal from each of the neural signals; determining a first measure of cross-frequency coupling comprising a mean vector length modulation index (MVL-MI), determining the MVL-MI comprises determining a magnitude of an averaged complex-valued time series from a plurality of samples of the neural signals to extract a phase-amplitude coupling measure, each sample associated with a respective one of the amplitude frequency envelope signals and the phase frequency signals; and outputting at least one measure of the cross-frequency coupling.

A neuromodulator accurately measuresin real time and over a range of frequenciesthe instantaneous phase and amplitude of a natural signal. For example, the natural signal may be an electrical signal produced by neural tissue, or a motion such as a muscle tremor. The neuromodulator generates signals that are precisely timed relative to the phase of the natural signal. For example, the neuromodulator may generate an exogenous signal that is phase-locked with the natural signal. Or, for example, the neuromodulator may generate an exogenous signal that comprises short bursts which occur only during a narrow phase range of each period of an oscillating natural signal. The neuromodulator corrects distortions due to Gibbs phenomenon. In some cases, the neuromodulator does so by applying a causal filter to a discrete Fourier transform in the frequency domain, prior to taking an inverse discrete Fourier transform.

A quantitative gait training and/or analysis system employs instrumented footwear and an independent processing module. The instrumented footwear may have sensors that permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments employing calibration-based estimation of kinematic gait parameters are described. An artificial neural network identifies gait stance phases in real-time.

Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

Generator systems and methods are provided for generating a neuromuscular-to-motion decoder from a healthy limb. The generator system is configured to receive neuromuscular signals from neuromuscular sensors associated to predefined muscle/nerve locations of at least one pair of agonist and antagonist muscles/nerves of the healthy limb, obtained during performance by the person of a predefined exercise (defined by predefined exercise data) with the healthy limb; to receive motion signals from motion sensors associated to predefined positions of the healthy limb, during performance by the person of the predefined exercise with the healthy limb; and to generate the neuromuscular-to-motion decoder by mapping the neuromuscular signals to the motion signals over time using a mapping method. Rehabilitation systems are also provided for rehabilitating a paretic limb by using a neuromuscular-to-motion decoder produced by a generator system.

The present invention relates to a neural implant comprising a biomaterial having an outer surface with a stochastic nanoroughness (Rq), and the application of said stochastic nanoroughness in the diagnosis and/or treatment of a neurological disorder, such as, for example, Parkinson's disease, Alzheimer's disease, glioblastoma and/or for disrupting, and/or preventing glial scars in the context of mammalian mechanosensing ion channels selected from the family of PIEZO-1 and PIEZO-2 ion channels.

A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.

A stimulation device includes an energy source; an electronics unit; an actuator that is coupled with the electronics unit and/or the energy source. The electronics unit includes a controller. The energy source, the electronics unit and the actuator are arranged in a housing. A fixing unit which is coupled with the housing and affixes the stimulation device on a heart or in a heart. The actuator emits electromagnetic waves for the stimulation of genetically manipulated tissue, and the controller controls the stimulation of the tissue by way of the electromagnetic waves of the actuator.

An implantable device for implantation in a human body or animal body. The device includes an energy source, an energy storage device, and an electronics unit. Further, an actuator is coupled with the energy storage device and it is configured to emit electromagnetic waves by discharging the energy storage device.

A stimulation device contains an energy source, an electronics unit, and an actuator that is coupled with the electronics and/or the energy source. The actuator is configured to emit electromagnetic waves for stimulation of genetically manipulated tissue. The stimulation device is configured for at least temporary implantation in the human or animal body. The electronics unit has a controller configured to stimulate the tissue by use of the electromagnetic waves from the actuator.