An illustrative optical measurement system includes a light source configured to emit a light pulse directed at a target. The optical measurement system further includes a plurality of photodetectors configured to operate in accordance with an input bias voltage. The optical measurement system further includes a control circuit configured to identify a photodetector subset included in the plurality of photodetectors and that detects, while the input bias voltage has a first value, photons of the light pulse after the light pulse is scattered by the target. The control circuit is further configured to determine, based on the identifying of the photodetector subset, an overvoltage associated with the photodetector subset. The control circuit is further configured to update, based on the overvoltage, the input bias voltage for the plurality of photodetectors to have a second value.

Systems and methods for detecting a traumatic brain injury (TBI). The system comprises a sensing arrangement and a control unit. The sensing arrangement collects eye movement data of a user. The control unit is in communication with the sensing arrangement and configured to compare the eye movement data to one or more baseline measurements of eye movement dynamics. The control unit is also configured to generate an alert indicating the presence or severity of the TBI for delivery to control unit administrator if the eye movement data diverges from one or more of the baseline measurements by a threshold amount.

Systems and methods for discovery and characterization of neuroactive drugs are provided. In some aspects, a method for evaluating an effectiveness of a drug administered to a subject includes receiving neurophysiological data acquired from a subject under an administration of a drug, and analyzing the neurophysiological data to generate signatures indicative of brain states induced by the drug. The method also includes correlating the generated signatures with a database comprising information associated with a plurality of drug profiles, and determining, using the information, a molecular activity profile for the drug. The method further includes generating a report indicative of the effectiveness of the drug using the molecular activity profile.

A machine learning system for aggregating electroencephalographic (EEG) data, as well as external data, in preparation for downstream analysis via further machine learning models. Machine learning models can be used to assist in diagnosis of various mental health conditions, brain-computer interface, mood detection systems, or other biometric functions. Implementations of the present disclosure, employ a portion of the transformer network (the attention encoder stack) to aggregate EEG trials or EEG data segments, in a data-driven way, by ensuring the important content of each trial is not lost. Each EEG trial to be aggregated is converted into an input embedding, or a vector which numerically represents the data in the trial.

The present application provides a left and right brain recognition method and device, and relates to the field of wearable devices. The method comprises: in response to that a user listens to an audio content meeting a predetermined condition, acquiring first brain electrical information of a first hemisphere of the user; and recognizing that the first hemisphere is a left brain or a right brain according to the first brain electrical information and reference information. The method and the device provide a left and right brain recognition method, facilitate a device that the user wears to perform automatic setting according to a recognition result, and enhance user experience.

A system is configured for receiving force data including at least one value indicating the amount of the force applied to the portion of the user and at least one value indicating a direction of the force applied to the portion of the user; obtaining mapping data specifying at least one relation between values of force applied to the portion of the user and changes in a functional responsiveness, functional and/or structural integrity, or both the functional responsiveness and the functional and/or structural integrity of the brain at one or more locations in the brain; estimating, based on the mapping data and the force data, an amount of force loading at one or more particular locations in the brain; and generating, based on the estimating, output data representing an amount of the damage to the brain at the one or more particular locations in the brain.

Described herein is a method to detect perfusion and brain functional activity using Hyperpolarized xenon-129 (.sup.129Xe) Time-of-Flight (TOF) Magnetic Resonance Imaging (MRI). Specifically, this method uses hyperpolarized .sup.129Xe MRI to detect blood flow and perfusion changes in the region of interest. In addition, this method can be used to detect blood flow changes in brain tissue that corresponds to the brain functional activities by detecting the amount of .sup.129Xe dissolved in blood and brain tissue per unit of time.

The present disclosure relates to a personal wearable device. The personal wearable device may include one or more sensors, a charging circuit and a transceiver. In one embodiment, the personal wearable device may be a mouthguard. Also disclosed is a system which includes a personal wearable device and a personal electronic device which receives impact information from the personal wearable device, determines that the impact information indicates that an impact force above a pre-determined threshold has been experienced by the personal wearable device, and transmits a notification.

The present invention presents methods and apparatus for detecting, imaging, monitoring, and modulating of brain activities and neuronal activities in the brain using radiofrequency (RF) electromagnetic (EM) waves, as well as methods and apparatus for detecting, imaging, and monitoring breathing and heart-beating using RF EM waves.

A system and methods for monitoring and controlling a mental state of a subject are provided. In some aspects, a method includes receiving physiological and behavioral data acquired using the plurality of sensors while the subject is performing a task, and applying, using the data, a state-space framework to determine a plurality of decoder parameters correlating brain activity and behavior with a mental state of the subject. The method also includes identifying the mental state of the subject using the decoder parameters, and generating a report indicating the mental state of the subject. In some aspects, the method further includes generating, based on the identified mental state, a brain stimulation to treat a brain condition of the subject.