Exemplary aspects of a wearable device are described, including a body, an attachment element, and a plurality of energy generators. The body may include a flexible material layer and be conformable about a head of a user. The body may have a power source. The attachment element may include a band to maintain the body about the head of the user and a skin facing surface of the body against skin of the user. The plurality of energy generators may be independently operable to convert electricity from the power source into a plurality of different energy types transmittable towards the skin of the user. At least one of the plurality of energy generators may be disposed at least partially within the flexible material layer. Related apparatus, methods, and systems are described.

A method of neurohydrodissection for reducing a perception of pain in a patient is disclosed. The method comprises a step of physically inspecting the patient and locating a first compression site of a nerve of the patient where the nerve passes through a tissue and is inflamed. The method comprises a step of imaging the patient at the first compression site. The method comprises a step of inserting a syringe at the first compression site, wherein while the imaging the patient at the first compression site occurs, guiding the syringe to an intersection between the nerve and the tissue, injecting a solution with the syringe at the intersection and dissecting the nerve from the tissue.

A method of therapeutically treating a subject includes the steps of: sensing sympathetic nerve activity; communicating the sensed sympathetic nerve activity to a processor; using machine learning in the processor to identify input data sets correlated to a physiological end point in the subject by processing the input data input sets to experientially optimize an algorithmically defined physiological goal defined in output data sets by the machine learning; and dynamically controlling a therapeutic device in real time with the processor using the output data sets to treat the subject mediated by the therapeutic device by establishing or tending to establish the physiological end point in the subject.

A nerve mapping system includes an elongate medical device, a non-invasive mechanical sensor, and a processor. The elongate medical device includes a distal end portion configured to explore an intracorporeal treatment area of a subject, and the distal end portion includes an electrode. The non-invasive mechanical sensor is configured to provide a mechanomyography output signal corresponding to a monitored mechanical response of a muscle innervated by the nerve. The processor is in communication with the electrode and the sensor, and is configured to provide a plurality of electrical stimuli to the electrode. Each of the plurality of stimuli is provided when the electrode is located at a different position within the intracorporeal treatment area. The processor determines the likelihood of a nerve existing at a particular point using the magnitudes of each of the stimuli and the detected response of the muscle.

An implantable bioresorbable radio frequency (RF) coil for high-resolution and high-specificity post-surgical evaluating or monitoring with magnetic resonance imaging (MRI) is disclosed. The coil includes a bioresorbable conductor configured to be resorbed within a patient while the coil is implanted in the patient. In one embodiment, the target application of this coil is the evaluation or monitoring (via MRI) of peripheral nerve regeneration following surgical repair.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for a number of disorders. Described are methods and devices to treat disorders that involves no medication. Methods and devices described herein use alternating magnetic fields to gently tune the brain and affect mood, focus, and cognition of subjects.

Systems, methods, and graphical user interfaces are described herein for identification of optimal electrical vectors for use in assisting a user in implantation of implantable electrodes to be used in cardiac therapy. Cardiac improvement information may be generated for each pacing configuration, and one or more pacing configuration may be selected based on the cardiac improvement information. Optimal electrical vectors using the selected pacing configurations may be identified using longevity information generated for each electrical vector. Electrodes may then be implanted for use in cardiac therapy to form the optimal electrical vector.

A method of surgically positioning an electrode array at a desired implantation location relative to a nerve. A temporary probe electrode is temporarily positioned adjacent to the nerve and at a location which is caudorostrally separate to the desired implantation location of the electrode array. The implanted position of the probe electrode is temporarily fixed relative to the nerve. During implantation of the electrode array, electrical stimuli are applied from one of the temporarily fixed probe electrode and the electrode array, to evoke compound action potentials on the nerve. Compound action potentials evoked by the stimuli are sensed from at least one electrode of the other of the temporarily fixed probe electrode and the electrode array. From the sensed compound action potentials a position of the electrode array relative to the nerve is determined.

Embodiments can include a nerve mapping and monitoring system that can include a multi-polar stimulation unit, an electrical connector, an instrument having a grid array, where the grid array can comprise a plurality of electrodes, where each of the plurality of electrodes can be configured to be stimulated by the multi-polar stimulation unit, a recording element, where the recording element can be configured to detect a muscle response elicited by the grid array, and a computer, where the computer can be configured to monitor the muscle response elicited by the grid array such that neural structures can be identified and avoided.

A mobile computing device for measuring somatic response of a user to stimulus includes motion sensors, a volatile memory, and a processor for: executing a baseline calibration process including receiving first and second supervised data from the user, and first and second sensor data from the motion sensors, while the user performs a triple whip gesture, calculating signal strength of the first and second sensor data using a k-means clustering algorithm, and executing a classification process including reading third unsupervised data from the user and third sensor data from the motion sensors while the user performs the triple whip gesture.