Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include features for (i) inhibiting multiple devices from adhering or sticking to one another or a different object and (ii) providing tactile feedback to users to help distinguish one side of the device from the other.

A wearable computing device with bio-signal sensors and a feedback module provides an interactive mediated reality (VR) environment for a user. The bio-signal sensors receive bio-signal data (for example, brainwaves) from the user and include bio-signal sensors embedded in a display isolator, having a deformable surface, and having an electrode extendable to contact the user's skin. The wearable computing device further includes a processor to: present content in the VR environment via the feedback module; receive bio-signal data of the user from the bio-signal sensor; process the bio-signal data to determine user states of the user, including brain states, using a user profile; modify a parameter of the content in the VR environment in response to the user states of the user. The user receives feedback indicating the modification of the content via the feedback module.

The present disclosure provides an electronic device. The electronic device includes a flexible element, and a sensing element adjacent to the flexible element and configured to detect a biosignal. The electronic device also includes an active component in the flexible element and electrically connected with the sensing element. A method of manufacturing an electronic device is also disclosed.

A wearable device for detecting a user's eye movement having a first movement sensor with electrodes aligned with each other along a first movement axis, a second movement sensor with electrodes aligned with each other along a second movement axis transverse to the first movement axis, and a control circuit coupled to the electrodes and configured to acquire electrostatic charge variation signals indicative of differences between the electrostatic charge variations detected by the electrodes of the movement sensors; detect an event indicative of respective displacements of the eyes along the movement axis; and determine the movement of the eyes based on of the event confirmation.

A mechanism for estimating sleep stages of an subject's sleep session using a machine-learning algorithm. An EOG signal, produced during the sleep session, is obtained. For each of a plurality of samples, a subset of one or more other samples is obtained. The subset is identified by determining temporal dependencies between the sample and the other sample(s) using temporal information trained into the machine-learning algorithm. Each sample is processed using its corresponding subset of one or more other samples to produce an estimate sleep stage for the sample. This produces a plurality of sleep stages for the sleep session of the subject.

A mechanism for estimating sleep stages of an subject's sleep session using a machine-learning algorithm. An EOG signal, produced during the sleep session, is obtained. For each of a plurality of samples, a subset of one or more other samples is obtained. The subset is identified by determining temporal dependencies between the sample and the other sample(s) using temporal information trained into the machine-learning algorithm. Each sample is processed using its corresponding subset of one or more other samples to produce an estimate sleep stage for the sample. This produces a plurality of sleep stages for the sleep session of the subject.

Hat, helmet, and other headgear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

Electrode arrays have a plurality of electrodes. These arrays may have any combination of the following improvements. The arrays may have features that enable easier electrical connections and reduced bending stiffness by having a stop region and a torsion relief region, respectively. The arrays may have a shielding feature that may reduce electrical interference. The arrays may come in pairs that are designed to simplify measurements of electric signals of bilateral organs and tissues, such as eyes and ears.

A contact lens may comprise at least one sensor. An eye gear package may comprise an interface circuit configured to communicatively couple the eye gear package with the contact lens, a power source configured to power the eye gear package and the contact lens, and a processor configured to process data generated by the at least one sensor.

A system and method are provided for monitoring subject behavior during sleep onset. In some aspects, a system includes one or more sensors configured to acquire behavioral data from a subject using input provided during sleep onset. The system also includes a processor programmed to at least assemble a time-series of behavioral responses using the behavioral data acquired using the one or more sensors, and estimate an instantaneous probability of response using the time-series of behavioral responses. The processor is also programmed to generate a statistical model of wakefulness using the instantaneous probability of response, and estimate, using the model, a probability indicative of a degree to which the subject is awake at each point in time during the sleep onset process. The processor is further configured to generate a report indicative of sleep onset in the subject. The system also includes an output for displaying the report.