Present disclosure describes the method and system for detecting the brain condition state of a subject. Method comprising calibrating a power zone of the system in real-time and detecting a reflected signal for each of a plurality of transmitted input signals on scanning each of lobe locations of the subject after calibration. Thereafter, method comprising validating an array generated using the plurality of transmitted input signal and corresponding reflected signal for each of the lobe locations and generating a lobe fit value for the validated array using a curve fitting technique. Subsequently, method comprising computing logarithmic ratios corresponding to four pairs of contralateral lobe location, six pairs of ipsilateral lobe locations in left hemisphere and six pairs of ipsilateral lobe locations in right hemisphere using the lobe fit value and classifying the logarithmic ratios into one of brain condition state classes by comparing with pre-labelled logarithmic ratios stored in system.

An optical measurement system includes a wearable module having at least one time-resolved single photon photodetector configured to detect photons from at least one light pulse after the at least one light pulse is scattered by a target within a body of a user; at least one light guide configured to receive the photons and guide the photons to the at least one photodetector; and a housing that houses both the at least one photodetector and at least a portion of the at least one light guide. The optical measurement system further includes a signal processing circuit configured to determine a temporal distribution of the photons detected by the at least one photodetector and generate a histogram based on the temporal distribution of the photons.

Disclosed herein are methods and systems of determining whether a subject’s levels of GFAP, UCH-L1, or GFAP and UCH-L1 are elevated in a sample collected from the subject. The methods comprise determining whether the levels of GFAP, UCH-L1, or GFAP and UCH-L1 are elevated in the sample, and communicating the determination on or from an instrument. The methods may be used to aid in the diagnosis and evaluation of a subject (e.g., a human subject) that has sustained or may have sustained an injury to the head, such as to determine whether the subject is suffering from a mild, moderate, severe, or moderate to severe traumatic brain injury (TBI).

Rapid assessment of microcirculation in tissue to realize closed-loop systems is provided. Microcirculatory assessment systems according to embodiments described herein allow a user to assess changes in local blood flow in microvasculature in real-time using conventional electrical techniques. Some embodiments provide a closed-loop system that allows calibrated doses of electrical stimulation to be delivered in a deep brain stimulation (DBS) system depending on blood flow changes (in specific regions of the brain) being fed back to a controller. The approach described here is readily translatable with very minimal changes to existing hardware. Such closed-loop systems will improve the accuracy of electrode placement in DBS surgery and potentially reduce surgery time, optimize the delivery of electrical stimulation, increase battery life of implantable DBS systems, reduce post-surgical visits to medical practitioners and improve the quality of life of patients.

Systems and methods are described for diagnosing, assessing, and quantifying brain injuries, traumas, or concussions. The systems and methods described herein are non-invasive and based on the detection, measurement, and analysis of involuntary micromotions and/or fixational eye movements with respect to an individual's eyes, pupils, and head. Determinations as to brain injury are based, in part, on divergences between measurements associated with the subject and measurements contained in one or more datasets. The described systems and methods are accessible to subjects regardless of geographic location or access to medical professionals, and are not reliant on the cooperation of the subject such that the systems and methods described here are still effective when the subject is non-responsive.

A method, a structure, and a computer system for traumatic event detection. The exemplary embodiments may include collecting data using sensors worn by a user and identifying a traumatic event based on applying a model to the data, wherein the model correlates values of the data with traumatic events and traumatic brain injuries. The exemplary embodiments may further include identifying the traumatic brain injury resulting from the traumatic event.

Systems and methods are described for diagnosing, assessing, and quantifying sedative effects in a subject. The systems and methods described herein are non-invasive and based on the detection, measurement, and analysis of involuntary micromotions and/or fixational eye movements with respect to a subject's eyes, pupils, and head. Determinations as to sedation are based, in part, on divergences between measurements associated with the subject and predefined ranges, threshold values, and/or measurements contained in one or more individualized or population datasets. The described systems and methods are not reliant on the cooperation of the subject and, as a result, do not interfere with the subject's ongoing activities. The systems and methods can also be continuously deployed over any period of interest, and the results can be predictive in nature as opposed to reactionary.

Novel tools and techniques are provided for the detection and differentiation of activities and/or conditions based on measured bio-signals.

A system for treating a patient comprises a stimulator for stimulating brain tissue, a controller for setting stimulation parameters and a diagnostic tool for measuring patient parameters and producing diagnostic data. The stimulation parameters comprise test stimulation parameters and treatment stimulation parameters. The stimulator delivers test stimulation energy to the brain tissue based on at least one test stimulation parameter and delivers treatment stimulation energy to the brain tissue based on at least one treatment stimulation parameter. One or more treatment stimulator parameters are determined based on the diagnostic data produced by the diagnostic tool The system is constructed and arranged to treat a neurological disease or a neurological disorder. Methods of treating a neurological disease or neurological disorder are also provided.

A device for stimulating neurons that includes a stimulation unit that applies mechanically tactile and/or thermal stimuli to the body surface of a patient that stimulate neurons with a pathologically synchronous and oscillatory neural activity. The device includes a measuring unit that records measurement signals of neural activity of the stimulated neurons, and a controller that controls the stimulation unit and analyzes the measurement signals. The controller actuates the stimulation unit to scan at least one part of the body surface of the patient along a path and thereby periodically applies stimuli and also selects two regions or more regions on the patient's body surface along the path where the phase synchronization between the periodic application of the stimuli and the neural activity of the stimulated neurons have a local maximum using the measurement signals. The stimuli are then applied in a delayed manner in the two regions.