In some embodiments, a method includes receiving first physiological data of sympathetic nervous system activity and establishing a baseline value of at least one physiological parameter by training at least one machine learning model using the first physiological data. The method further includes receiving, from a first monitoring device attached to a subject, second physiological data of sympathetic nervous system activity in the subject. Using the at least one machine learning model and based on the baseline value of at least one physiological parameter, the method includes analyzing the second physiological data to predict an agitation episode of the subject and sending a signal to a second monitoring device to notify of the prediction of the agitation episode of the subject such that treatment can be provided to the subject to decrease sympathetic nervous system activity in the subject.

An ear-wearable electronic device comprises a housing configured to be worn in, at or about an ear of a wearer. A sound generator is disposed in the housing and configured to produce at least a tinnitus masking sound. A physiologic sensor arrangement is disposed in or supported by the housing and configured to measure one or both of a plurality of physiologic parameters and a plurality of physiologic conditions of the wearer. The physiologic sensor arrangement is configured to produce physiologic sensor signals in response to the measurements. A controller is operatively coupled to the sound generator and the physiologic sensor arrangement. The controller is configured to detect one or more of presence, absence, and severity of tinnitus of the wearer using the physiologic sensor signals.

Systems and/or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and/or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and/or assess the effectiveness of differing treatment regimens, etc).

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal.

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal.

Disclosed is a method for providing geographic information and analysis information for each user using a universal map, which includes: a map information receiving step of requesting authentication to a universal map server storing map information including one of a map image and guide information by transmitting user authentication information except socially disadvantaged type information, to receive map information from the universal map server; a guide information extraction step of extracting guide information, as guide information for providing the geographic information on the map image to the user terminal from the received map information, corresponding to the socially disadvantaged type information of the user among the user account information from a data model database; and a geographic information providing step of providing geographic information customized according to the user, by outputting geographic information reflecting attribute information of spatial objects to the user terminal based on the extracted guide information.

An automatic test device and method for auditory brainstem response (ABR) collects an ABR dataset at a plurality of sound loudness levels, increases the times of level averaging by iteration based on an adaptive average method, and improves a signal-to-noise ratio until ABR signal detection conditions are met. Signal detection includes determining that the time lag between average curves obtained from the ABR dataset is within a specified range. Iteration is terminated when the ABR signal is detected or a maximum number of iterations is reached. A minimum loudness level required to detect the ABR signal is used as a hearing threshold. An accurate loudness level corresponding to the hearing threshold is obtained by function fitting on the number of iterations used at each loudness level and interpolation. The threshold detection can effectively reduce the number of times that an ABR recording needs to be acquired.

Disclosed is a process for identifying and extracting pain-related electroencephalogram (EEG) signals. The process comprises receiving, from one or more trials, EEG data for each trial; determining a current density for each signal; estimating the current density for a set of neural activity regions of interest, based on the computed current density; and computing at least one spectrum characteristic for each trial based on the estimated current density. Thus mean and variance of changes in the EEG data between EEG data labeled as being indicative of a pain state and EEG data labeled as being indicative of a non-pain state, for each neural activity region of interest can be calculated, and pain-related EEG signals can be identified based on at least one a region of interest at which the variance is below a predetermined threshold.

Disclosed is a process for identifying and extracting pain-related electroencephalogram (EEG) signals. The process comprises receiving, from one or more trials, EEG data for each trial; determining a current density for each signal; estimating the current density for a set of neural activity regions of interest, based on the computed current density; and computing at least one spectrum characteristic for each trial based on the estimated current density. Thus mean and variance of changes in the EEG data between EEG data labeled as being indicative of a pain state and EEG data labeled as being indicative of a non-pain state, for each neural activity region of interest can be calculated, and pain-related EEG signals can be identified based on at least one a region of interest at which the variance is below a predetermined threshold.

A brain-computer aided analysis method for an aviation accident is provided. The method includes the steps of obtaining historical electroencephalogram (EEG) signals and historical psychological and physiological features of various pilots during flight to be recorded as first EEG signals and first features; training a feature recognition model by using the first EEG signals as an input and the first features as an output; inputting EEG signals of a pilot of an aviation accident aircraft into the feature recognition model, and outputting psychological and physiological features of the pilot of the aviation accident aircraft to be recorded as second features; determining whether the second features are abnormal or not according to the historical psychological and physiological features of the pilot of the aviation accident aircraft and the first features.