Disclosed herein are systems and methods for electrically modulating tissue. Systems can include a current generator; at least one implantable working electrode, the at least one implantable working electrode configured to be in electrical communication with the current generator; at least one indifferent electrode; and a controller configured to signal the current generator to: generate a set of currents with a set of initial polarities to be delivered to the working electrodes; and wherein the at least one indifferent electrode absorbs a bias current which is equal in magnitude and opposite in polarity to a summation of the set of currents.

Systems, devices, and techniques are configured for analyzing evoked compound action potentials (ECAP) signals to assess the effect of a delivered electrical stimulation signal. In one example, a system includes processing circuitry configured to receive ECAP information representative of an ECAP signal sensed by sensing circuitry, and determine, based on the ECAP information, that the ECAP signal includes at least one of an N2 peak, P3 peak, or N3 peak. The processing circuitry may then control delivery of electrical stimulation based on at least one of the N2 peak, P3 peak, or N3 peak.

An Implantable Pulse Generator (IPG) is disclosed that is capable of sensing a degree to which recruited neurons in a patient's tissue are firing synchronously, and of modifying a stimulation program to promote desynchronicity and to reduce paresthesia. An evoked compound action potential (ECAP) of the recruited neurons is sensed as a measure of synchronicity by at least one non-active electrode. An ECAP algorithm operable in the IPG assesses the shape of the ECAP and determines one or more ECAP shape parameters that indicate whether the recruited neurons are firing synchronously or desynchronously. If the shape parameters indicate significant synchronicity, the ECAP algorithm can adjust the stimulation program to promote desynchronous firing.

In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.

A neural stimulator system which generates stimulation from an implantable stimulator circuit which generates stimulation outputs which mimic biological signals. The user/operator can select stimulation generated from recorded waveforms, or by selecting the characteristics for generating stimulation based on randomized inter-pulse-intervals (IPI). A control unit controls the operation of the implantable stimulator circuit, and receives sets of stimulation parameters based on user input from a user input device executing application specific programming.

Systems and methods are disclosed that facilitate tracking and rewarding health and fitness activities of users using blockchain technology. In an aspect, a system comprises a non-transitory memory comprising instructions, and one or more hardware processors coupled to the non-transitory memory and configured to read the instructions to cause the system to perform operations. The operations comprise receiving health and fitness information for entities, employing a blockchain network to store the health and fitness information for the entities, and sending a non-fungible token (NFT) to an entity of the entities in response to a subset of the health and fitness information associated with the entity satisfying a criterion.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing augmented reality assistance mode functionalities. Certain embodiments utilize systems, methods, and computer program products that perform augmented reality assistance mode functionalities by using at least one of environment familiarity predictions, assistance mode triggering need determinations, and threat detection machine learning models.

A system and method for adaptive illumination, the imaging system comprising an excitation source having a modulator, which generates a pulse intensity pattern having a first wavelength when the excitation source receives a modulation pattern. The modulation pattern is a data sequence of a structural image of a sample. An amplifier of the imaging system is configured to receive and amplify the pulse intensity pattern from the modulator. A frequency shift mechanism of the imaging system shifts the first wavelength of the pulse intensity pattern to a second wavelength. A laser scanning microscope of the imaging system receives the pulse intensity pattern having the second wavelength.

Technologies for evaluating a user's musculoskeletal health and prescribing treatment plans for the user based on the musculoskeletal health is provided. The disclosed techniques include a computing system receiving input data from a client device. The system formatting the input data to generate one or more sets of user characteristic data values and determining initial levels of user musculoskeletal health for the user based upon the sets of user characteristic data values. The system selects a set of treatment plans for the user based on the initial levels of user musculoskeletal health. The system presents the set of treatment plans to the user using media that allows the user to interactively perform exercises prescribed in the treatment plan.

One general aspect includes a bed having a mattress. The system also includes a sensor configured to: sense pressure of a sleeper on the mattress and transmit, to a controller, pressure data generated from the sensing of pressure of the sleeper on the mattress. The system also includes a controller may include a processor and a memory, the controller configured to receive the pressure data; identify, from the pressure data, one or more motion parameters; determine one or more cardiac measures of the sleeper from the motion parameters; determine, from the cardiac parameters, one or more neurologic measures of the sleeper; and determine, a disease state for the sleeper.