The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

An apparatus and method for non-invasive determination of airway resistance for the detection of pulmonary airway disease includes providing an apparatus and method wherein changes in a pulsatile blood pressure waveform are detected by PhotoPlethysmoGram (PPG) or Ballistography (BSG) and are automatically determined to reflect decreases in airflow and changes in airway resistance.

An apparatus and method for early detection of dementia overcomes the shortcomings of conventional systems and methods for detecting dementia. This is achieved by providing an apparatus and method for employing an early dementia biomarker based on the response to sensory stimulation during sleep, such as during non-rapid eye movement (NREM) sleep.

An apparatus and method for employing the macro- and micro-structure of sleep and similar states of consciousness to optimize pain-treatment are disclosed wherein an objective biomarker of pain-related sleep disturbance guides pain treatment from a sleep perspective. Furthermore, this concept can be extended to states of reduced consciousness such as coma or sedation. Additionally, it could be applied on individuals who are non-communicative due to injury, disease, language issues and/or infancy.

A method of determining a sleep phenotype of a subject includes defining a stimulus profile, defining a response profile, administering the stimulus profile to the subject, collecting response data of the subject in accordance with the response profile; comparing the response data to a set of reference data, and determining sleep phenotype based on the comparison of the response data to the reference data. The method is characterized by determining sleep phenotype based on measuring responses to administered stimuli rather than observing typical physiological data observed during periods of sleep.

An apparatus and method for detecting undiagnosed sleep disordered breathing uses daytime sleepiness and nighttime Obstructive Sleep Apnea (OSA) severity. This involves detecting people with excessive daytime sleepiness (and high likelihood of falling asleep during the day) caused by OSA through objective and subjective daytime and nighttime monitoring. Screening is provided for those who are most likely to be suffering a daytime impact of their sleep apnea and thus most likely to respond positively to a potential diagnosis, and notifying these people is also provided.

A system includes facilitating therapy with couples working together for perceiving shared positive benefits by treating sleep disordered breathing issues. Spousal influence can greatly influence and motivate the patient in continuing the therapy. Moreover, through monitoring bed partners' sleep using wearable data, causal information about whose sleep is affecting whom can be inferred. Users can be prompted to seek diagnosis and treatment for sleep disordered breathing conditions and can be used to help coach around therapy adherence.

A method is provided of generating behavior recommendations for a user, and communicating these to a user by means of a linguistic message, and wherein the recommended behavior or properties of the linguistic message are configured based on a measure of circadian inconsistency for the user. The measure of circadian inconsistency is derived by comparing an expected circadian curve of the user (e.g. an average curve derived from historical data for the user) with an empirical circadian curve for a given day. A deviation between the two provides an indication of the circadian inconsistency for the given day, and this is used to inform content, timing, wording, or other properties of the behavior recommendations.

The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

Aspects of the invention include systems for monitoring compliance of a patient with a patch dosage regimen and, where necessary, providing rapid, economical intervention when non-compliance is detected. In some instances, the systems include: a patch comprising an active agent and a patch tag; a reader configured to detect the patch tag; one or more processing devices; and a compliance determination module comprising a computer-readable storage medium comprising instructions that, when executed by the one or more processing devices, determine compliance information from data received from the reader. The compliance information includes data that may be employed to determine whether the patient is complying with the patch dosage regimen. Also provided methods of using the systems, e.g., to monitor patient compliance, as well as components of the systems, e.g., patches, readers, etc.