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.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Described here is a deep brain stimulation (DBS) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

Provided is a stroke monitoring system capable of measuring a user's biometric signal including an electroencephalogram using a device such as a wearable device for determining whether a user has a stroke for 24 hours, building a database of the measured user's biometric signal and other information, and predicting an occurrence of a user's stroke.

A portable polysomnography apparatus comprises a unitary flexible structured pillow that is embedded with one or more sensors for data collection. The one or more sensors can comprise a tilt sensor that is configured to generate respiratory effort signals based on tilting of the head of the subject on the pillow. The one or more sensors can further be configured to generate ballistocardiogram signals from movement of the head of the subject caused by beating of the heart of the subject. The polysomnography apparatus can be advantageously sized and shaped to cause the sleeping subject to properly orient her head with respect to the sensors for optimal data collection while the subject is asleep.

Various embodiments are directed towards employing one or more physical sensors arranged on or in proximity to a video game player to obtain biofeedback measures that are then useable to dynamically modify a state of play of a video game. The sensors may be connected or even unconnected to the game player, replace, or otherwise augment traditional physical game controllers. The sensors gather various biofeedback measures and provide such measures to a biofeedback application programming interface (API). Before and/or during video game play, the video game queries the biofeedback API to request inferences about the game player's internal state. Responses are then used to modify the state of the video game play. Where the video game is a multi-player video game, biofeedback measures from other game players may also be obtained and used to further modify the state of the video game play.

A method and device for non-invasive monitoring of the temperature of the retina and the retinal pigment epithelium inside the eye, particularly during heating of the bottom of the eye, wherein alternating probing short-duration pulses of light, one at wavelength close to the absorption maximum of the photoreceptor cell type and the other at wavelength in the near-infrared region, are directed at the retinal tissue at appropriate time intervals. Photoreceptor cell electrical signals, photoresponses, are recorded using electroretinography (ERG) and the changes in retinal temperature are determined from changes in photoresponse kinetics and changes in photoreceptor sensitivity to the stimuli. The method is especially applicable at temperatures up to 45 C. for humans and for other animals.

Methods and systems are provided to monitor bio-signals associated with one or more physiological structures of a subject, process the bio-signals to determine neural information, determine a current state of the subject based on the neural information, determine feedback to be provided to the subject based on the current state and a desired state, and/or to provide the feedback to the subject in order to modify the subject's current state to the desired state. The neural information may include validated neural indices relating to dynamic regulation of the monitored physiological structures via identifiable neural pathways and/or neural metrics quantified from such neural indices.