Abstract: A method includes accessing EEG data obtained from each of a first plurality of subjects and from each of a second plurality of subjects, and training a machine learning model to identify a brain state associated with mild traumatic brain injury (mTBI) using the EEG data for each of the first plurality of subjects. The first plurality of subjects are known to have mTBI, and the second plurality of subjects are known to be mTBI unafflicted. The EEG data for each subject includes EEG data for the subject at rest and sensory evoked response EEG data for the subject. A system for identifying a brain state of a subject includes a portable odorant generation and EEG recording system, and at least one processor configured to use a trained machine learning model to analyze EEG data obtained by the EEG recording system to identify the brain state of the subject.

Abstract: Methods, devices and systems for evaluating olfactory function are configured to: electronically estimate a user-specific odorant detection threshold sensitivity threshold using at least one target stimulus odorant delivered to a nose of a user; flowably deliver a plurality of different target stimulus odorants to the nose of the user with defined concentrations of the different target stimulus odorants based, at least in part, on the estimated user-specific odorant detection sensitivity threshold; and evaluate olfactory function of the user based on the user's response to the delivered different target stimulus odorants.

Abstract: Systems and methods for evaluating neurologic function of a subject are described. An odorant, auditory and/or somatosensory generator is configured to deliver a sensory stimulation to the subject, a plurality of electrodes are configured to be attached to the subject, and a handheld EEG control unit is configured to control the odorant, auditory and/or somatosensory generator, process the neural signals from the plurality of electrodes and generate an assessment of neurologic function of the subject.

Abstract: An apparatus, module, methods and systems for automated, standardized assessment and analysis of a human olfactory system's odor detection ability as an indicator or predictor of cognitive impairment or change in cognitive health, and other health conditions such as diabetes. Notably, the present invention is operable for use across all age groups of humans and provides quantitative detection and analysis of a human olfactory system's detection ability compared to a relevant demographic population.

Abstract: An apparatus, module, methods and systems for automated, standardized assessment and analysis of a human olfactory system's odor detection ability as an indicator or predictor of cognitive impairment or change in cognitive health, and other health conditions such as diabetes. Notably, the present invention is operable for use across all age groups of humans and provides quantitative detection and analysis of a human olfactory system's detection ability compared to a relevant demographic population.

Abstract: Methods, devices and systems for evaluating olfactory function are configured to: electronically estimate a user-specific odorant detection threshold sensitivity threshold using at least one target stimulus odorant delivered to a nose of a user; flowably deliver a plurality of different target stimulus odorants to the nose of the user with defined concentrations of the different target stimulus odorants based, at least in part, on the estimated user-specific odorant detection sensitivity threshold; and evaluate olfactory function of the user based on the user's response to the delivered different target stimulus odorants.

Abstract: An apparatus, module, methods and systems for automated, standardized assessment and analysis of a human olfactory system's odor detection ability as an indicator or predictor of cognitive impairment or change in cognitive health, and other health conditions such as diabetes. Notably, the present invention is operable for use across all age groups of humans and provides quantitative detection and analysis of a human olfactory system's detection ability compared to a relevant demographic population.