According to some aspects a system is provided comprising a low-field magnetic resonance (MR) device, at least one electrophysiological device, and at least one controller configured to operate the low-field MR device to obtain MR data and to operate the at least one electrophysiological device to obtain electrophysiological data.

A method for titrating a stimulation parameter for one or more electrode contacts in a system for stimulating a hypoglossal nerve of a patient includes activating one of the one or more electrode contacts to stimulate the hypoglossal nerve of the patient, obtaining a first and/or second physiological measurement from the patient, comparing the first and/or second physiological measurement to a first and/or second predetermined target value, adjusting a stimulation parameter for the one of the one or more electrode contacts if the first and/or second physiological measurement differs from the first and/or second predetermined target value.

Aspects provide a system including a wearable audio device. The system is configured to determine one or more states of a subject using electrodes positioned on the wearable audio device and in contact with the subject's body. Three electrodes on the wearable audio device are configured to collect any combination of EMG, EOG, ECG/EKG. The system is configured to determine if the subject is fatigued, attentive, anxious, or stressed. The system determines the subject's state without use of a camera. In addition to determining one or more states of the subject, the subject can control the audio device based on a pattern of pupil movements. According to aspects, eye location determined using collected signals are used to adjust and enhance an output of an augmented reality application.

Electrooculogram (EOG) detection methods and EOG detection apparatuses are described. The EOG detection method can comprise: acquiring at least one EOG signal of a blink of at least one eye of a user; and analyzing the at least one EOG signal to determine whether the blink is a protective blink. A basis is thus provided for further applications of an eye movement detection technology by determining, according to an EOG signal of a user, whether a blink of the user is a protective blink.

A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.

Typically, high NREM stage N3 sleep detection accuracy is achieved using a frontal electrode referenced to an electrode at a distant location on the head (e.g., the mastoid, or the earlobe). For comfort and design considerations it is more convenient to have active and reference electrodes closely positioned on the frontal region of the head. This configuration, however, significantly attenuates the signal, which degrades sleep stage detection (e.g., N3) performance. The present disclosure describes a deep neural network (DNN) based solution developed to detect sleep using frontal electrodes only. N3 detection is enhanced through post-processing of the soft DNN outputs. Detection of slow-waves and sleep micro-arousals is accomplished using frequency domain thresholds. Volume modulation uses a high-frequency/low-frequency spectral ratio extracted from the frontal signal.

Systems and methods for sonifying electrical signals obtained from a living subject, particularly EEG signals, are disclosed. A time-domain signal representing the activity of an organ is obtained. A voltage of the time-domain signal over a time block is determined. An acoustic signal based on the time-domain signal over the time block is produced. The acoustic signal comprises one or more audibly discernible variations representative of the activity of the organ. If the determined voltage is over a threshold voltage, the time-domain signal is squelched over at least a portion of the time-block as the acoustic signal is produced. The time-domain signal can be squelched by ramping down the signal as an input to produce the acoustic signal. The frequency spectrum of the acoustic signal can also be adjusted as it is produced, such as by flattening the signal and/or attenuating high frequencies along the frequency spectrum of the signal.