Systems and methods provide interface to a patient's autonomic nerves via an interior lumen wall of a blood vessel. Systems can include a probe having at least one electrode for receiving electrical signals from the interior of the lumen wall. The system can include processing components for extracting the signals from noise within the patient's body. Systems can include stimulation electrodes for providing stimulation and eliciting action potentials within the patient and destructive processes for destroying nervous function. The effect of nerve destruction on the propagation of action potentials can be effectively used as a feedback mechanism for determining the amount of nervous function destruction in the patient.

The present invention relates to a system and methods generally aimed at monitoring the angular orientation between two locations within a fluoroscopic image and especially for monitoring the angular orientation between two locations within a fluoroscopic image and a predetermined target angle.

An automated method of controlling neural stimulation. A neural stimulus is applied to a neural pathway in order to give rise to an evoked action potential on the neural pathway, and the stimulus is defined by at least one stimulus parameter. A neural compound action potential response evoked by the stimulus is measured. From the measured evoked response a feedback variable such as observed ECAP voltage (V) is derived. A feedback loop is completed by using the feedback variable to control the at least one stimulus parameter value for a future stimulus. The method adaptively compensates for changes in a gain of the feedback loop caused by electrode movement relative to the neural pathway. A compensating transfer function is applied to the feedback variable, the compensating transfer function being configured to compensate for both (i) a distance-dependent transfer function of stimulation, and (ii) a distance dependent transfer function of measurement which is distinct from (i).

A system and method for generating a neuropathologic nourishment program comprises a computing device configured to obtain a neural element from a neural monitoring component, generate at least a neural profile as a function of the neural element, wherein generating comprises receiving at least a neural cluster as a function of a neural counsel, and generating the neural profile as a function of the neural cluster and neural element using a neural machine-learning model, identify at least an edible as a function of the neural profile, wherein identifying comprises obtaining a nourishment composition from an edible directory, determining a nourishment abnormality as a function of the neural profile and a normal range, and identifying an edible using the nourishment composition, nourishment abnormality, and an edible machine-learning model, and generate a nourishment program of a plurality of nourishment programs as a function of the edible.

A system and method for generating a neuropathologic nourishment program comprises a computing device configured to obtain a neural element from a neural monitoring component, generate at least a neural profile as a function of the neural element, wherein generating comprises receiving at least a neural cluster as a function of a neural counsel, and generating the neural profile as a function of the neural cluster and neural element using a neural machine-learning model, identify at least an edible as a function of the neural profile, wherein identifying comprises obtaining a nourishment composition from an edible directory, determining a nourishment abnormality as a function of the neural profile and a normal range, and identifying an edible using the nourishment composition, nourishment abnormality, and an edible machine-learning model, and generate a nourishment program of a plurality of nourishment programs as a function of the edible.

Systems, methods and devices for controlled sympathectomy procedures for neuromodulation in the treatment of subjects having neoplastic conditions are disclosed. Systems, methods, and devices for interventionally treating a cancerous tumor and cancer related pain are disclosed.

An automated method of controlling neural stimulation. A neural stimulus is applied to a neural pathway in order to give rise to an evoked action potential on the neural pathway, and the stimulus is defined by at least one stimulus parameter. A neural compound action potential response evoked by the stimulus is measured. From the measured evoked response a feedback variable such as observed ECAP voltage (V) is derived. A feedback loop is completed by using the feedback variable to control the at least one stimulus parameter value for a future stimulus. The method adaptively compensates for changes in a gain of the feedback loop caused by electrode movement relative to the neural pathway. A compensating transfer function is applied to the feedback variable, the compensating transfer function being configured to compensate for both (i) a distance-dependent transfer function of stimulation, and (ii) a distance dependent transfer function of measurement which is distinct from (i).

Methods and devices are disclosed for inducing analgesia in a localized region of tissue. Inducing analgesia may be performed by identifying a nerve associated with the localized region, determining a resonant frequency for target neuronal cell membranes of the nerve, and generating a peripheral nerve blockade using the determined resonant frequency. The resonant frequency may be a frequency at which impedance of the nerve approaches a maximum.

The present invention relates to endotracheal tubes for intra-operative monitoring of nerve and muscle tissue (neuromonitoring), a system for intra-operative neuromonitoring, a method for deriving stimulus responses in intra-operative neuromonitoring, and a method for classifying tissue types, having the purpose of preventing damage to nerves and muscles which run within the area of operation.

The present invention relates to endotracheal tubes for intra-operative monitoring of nerve and muscle tissue (neuromonitoring), a system for intra-operative neuromonitoring, a method for deriving stimulus responses in intra-operative neuromonitoring, and a method for classifying tissue types, having the purpose of preventing damage to nerves and muscles which run within the area of operation.