A method receives EEG data from at least one electrode implanted in the brain of the subject. The method determines a current or predicted brain state from the EEG data using an artificial intelligence (AI) model

An illustrative optical measurement system may include a wearable assembly configured to be worn by a user and comprising a plurality of light sources each configured to emit light directed at a target and a plurality of detectors configured to detect arrival times for photons of the light after the light is scattered by the target, wherein a ratio of a total number of the detectors to a total number of the light sources is at least two to one.

There is described a method of associating a pulsed signal to a corresponding reference pulse shape. The method generally has accessing reference data having a plurality of reference pulse shapes, each reference pulse shape having a sparse array of average coefficients; receiving a pulsed signal having an array of amplitude values, including generating a sparse array of instantaneous coefficients based on said pulsed signal for example using a discrete wavelet transform; calculating a plurality of first distances between said instantaneous coefficients of said sparse array and the average coefficients of each one of said reference pulse shapes, said first distances having a first minimal distance identifying a closer one of the reference pulse shapes; and upon determining that said first minimal distance is below a first distance threshold, associating said sparse array of instantaneous coefficients to the closer one of the reference pulse shapes.

The exemplified system and method facilitate an objective, non-invasive measurement of myelin quality and integrity in living brains based on isolation of myelin-specific magnetic relaxation constants in k-space. The system uses magnetic resonance (MR) signals to select signatures specific to, or associated with, myelin and its structure and to then encode the selected signatures into an image or model to which the quantitative myelin health information can be co-registered with 2D, 3D visualization, and tractography of the myelin-signal isolated MR information. The system also sets a model for digital hierarchical learning of biomedical signals in MR, and beyond, based on experimental data in which it executes the herein described signal isolation operations.

Systems and methods are provided for performing thermophotonic imaging using cross-correlation and subsequent time-gated truncation. Photothermal radiation is detected with an infrared camera while exciting a sample with a chirped set of incident optical pulses and time-dependent photothermal signal data is processed using a method that involves performing cross-correlation and subsequent time-gated truncation. The post-cross-correlation truncation method results in depth-resolved images with axial and lateral resolution beyond the well-known thermal-diffusion-length-limited, depth-integrated nature of conventional imaging modalities. An axially resolved photothermal image sequence can be obtained, capable of reconstructing three-dimensional visualizations of photothermal features in wide classes of materials.

A brain computer interface (BCI) module includes a flexible printed circuit assembly (FPCA) configured to conform to the head of a user. A plurality of emitters and a plurality of detectors are mounted on the FPCA. Each emitter of the plurality is configured to emit light towards the head of the user and each detector is configured to detect the emitted light. An array of ferrules is additionally mounted to the FPCA such that each ferrule of the array encases an emitter or a detector. The BCI module additionally includes a controller that is configured to receive an optical signal detected by a detector of the plurality and to encode the detected signal into a biological signal.

Volumetric Electromagnetic Phase Shift Spectroscopy (VEPS)-based methods of analyzing a tissue are provided. Aspects of the methods comprise obtaining a VEPS-based tissue classifier, or “signature” for a tissue at a single point in time. These methods find particular use in non-invasively determining the condition of a tissue, e.g. brain tissue, lung tissue, heart tissue, muscle tissue, skin tissue, kidney tissue, cornea tissue, liver tissue, abdomen tissue, head tissue, leg tissue, arm tissue, pelvis tissue, chest tissue, trunk tissue, prostate tissue, breast tissue, esophagus tissue, GI tract tissue, etc., in an individual. Devices and systems thereof that find use in practicing the subject methods are also provided.

The invention relates to an image-capturing device for the miniaturized near-field image capture of biological tissue, in particular for the imaging of genetic indicators. The image-capturing device comprises at least one digital image sensor and an objective lens in the form of a rod-shaped gradient index lens (GRIN), which objective lens is coupled to the digital image sensor for image capture. The objective lens is connected to the digital image sensor to from a monolithic, fixed assembly. There is no mechanical separating interface between the objective lens and the digital image sensor by means of which the digital image sensor can be separated from the objective lens by the user. The invention further relates to a system for the miniaturized near-field image capture of biological tissue, said system comprising an image-capturing device of this type and an evaluation device connected to the image-capturing device.

Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing diseased tissue from healthy tissue based on tissue component fractions identified using the NMR fingerprinting.

The present disclosure is directed to a tactile stimulation device. The tactile stimulation device can include at least one pneumatic switch, an applicator connected to the at least one pneumatic switch, and a controller operatively connected to the at least one pneumatic switch. The controller is configured to control the at least one pneumatic switch to connect the applicator to at least one of high pressure, vacuum pressure, and atmospheric pressure to stimulate a nerve ending of a user.