One embodiment of the present invention provides a flexible neural electrode having improved adherence to an object by using a three-dimensional structure. A neural electrode based on the three-dimensional structure of a flexible substrate, according to one embodiment of the present invention, comprises: a first polymer layer, which is formed from a polymer material, is flexible, and functions as a base; at least one photoresist part, which is formed on one portion of the surface of the first polymer layer and forms a three-dimensional structure; a second polymer layer which is formed on the photoresist part and the rest of the surface of the first polymer layer, and which comprises protrusion parts caused by the photoresist part; a metal thin film layer formed by patterning a metal thin film on the surface of the second polymer layer and the surface of the protrusion parts; and a third polymer layer which is formed on the surface of the second polymer layer and the metal thin film layer so as to function as a covering, and which comprises measurement holes formed so that one portion of the metal thin film layer formed at the ends of the protrusion parts is exposed to the outside.

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.

A method includes providing an ensemble of distributed sensors, delivering radio frequency (RF) power to each sensor by inductive near-field coupling by a magnetic field projected by an epidermal transmit (Tx) coil, in each individual sensor, detecting a sparse binary event in its immediate environment, reporting the detected sparse binary event to an external RF receiver hub asynchronously and with low latency, and minimizing error rates due to statistical data packet collisions in asynchronous telemetry by digitally encoding each sensor according to a particular address scheme where each address is one function from an infinite set of mathematically orthogonal functions, enabling a simultaneous detection from up to ten thousand points without interference at a common receiver.

In each trial, brain electrical activity at multiple points of a target person is measured. An acquirer of a determination device acquires response matrices for n trials under a first condition and response matrices form trials under a second condition. An analyzer performs canonical correlation analysis on the acquired response matrices to obtain first canonical variable time series. A distance calculator calculates a distance between the trials from the obtained first canonical variable time series to obtain a distance matrix. A determiner obtains a possibility that the n trials and the m trials are classified into two different clusters from the distance matrix and determines whether the first condition and the second condition are substantially different. It is possible to provide to a single target person a first content in n trials and a second content in m trials so as to determine a difference in interest of the single target person. It is possible to provide the same content to a first subject who is the target person in n trials and to a second subject who is the target person in m trials so as to determine whether the two are different or the same.

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.

Implantable devices require protection to protect a human or animal body from implant contamination and to protect implant electrical connections and electronics from corrosion. Although PDMS can be substantially biocompatible, it still has a relatively high permeability to moisture which can lead to degradation of the implant electronics.

An implantable electric device is provided comprising: a flexible substrate having one or more electrical conductors and a first surface comprising a Liquid-Crystal Polymer (LCP); a first biocompatible encapsulation layer; a first adhesion layer disposed between the first surface and the first encapsulation layer; wherein: the first adhesion layer comprises a ceramic material; the first encapsulation layer comprises a silicone rubber such as a PDMS, and the first adhesion layer and the first encapsulation layer are configured and arranged to conform to the first surface and to resist the ingress of fluids into at least a portion of the first surface.

By providing a bilayer having an encapsulant comprising a silicone rubber and a conformal adhesion layer comprising ceramic materials, the adhesion layer appears to show significantly higher stability in ionic media, thereby providing relatively longer protection in case of any delamination or water permeation through the encapsulant.

Assemblies, systems, and methods are directed at a neuromonitoring bone drill bit. The assembly may include a surgical bone drill bit, a neuromonitoring connection in electrical communication with the drill bit, and a shield extending over a distal end of the drill bit. The shield may be configured to withdraw proximally as the drill bit is advanced into a subject's bone. The assembly may be connected to a surgical drill and used in a surgical spinal procedure. In operation, the assembly may be advanced to a subject's bone at a surgical site and the drill bit may rotate into the subject's bone. In response, the shield may engage the bone and the drill bit may be advanced with respect to the shield. The shield may electrically insulate tissue from electrical current passing through the drill bit as it is inserted at the surgical site.

The present invention provides a method and system for processing data from an event, such as a neurological event. When a neurological event occurs, a spike in a neural waveform is generated. The spike can be detected and used to determine information about the neurological event. The method uses data values from a resistive switching component capable of undergoing a resistive state change when a voltage is applied to it. The data values represent a sequence of resistive state changes of the resistive switching component which correspond to the neurological event. The method further comprises processing the received data values to identify a resistive state change corresponding to the neurological event and to obtain information about the neurological event. Thus, a method and system for processing neural spikes is provided.

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.

Various methods and embodiments of the present technology generally relate to neural spike sorting in real-time. More specifically, some embodiments relate to a real-time neural spike sorting process using distributed nodes and edges to form clusters in the vector space to learn the neural spike data distribution adaptively for neural spike classification in real-time. The state of the brain or the onset of a neurological disorder can be determined by analyzing the neural spike firing pattern, and the first stage of the neural data analysis is to sort the recorded neural spikes to their originating neurons. Methods that can sort the recorded neural spikes in real-time with low system latency and can be implemented with resource limited digital electronic hardware, including a Field-Programming Gate Array (FPGA), an Application-Specific Integrated Circuit and an embedded microprocessor, are beneficial in understanding neuronal networks and controlling neurological disorders.