Abstract: An electroencephalography (EEG) system includes a support configured to be positioned at least partially around the head of a user, an EEG electrode configured to be supported by the support and to be positioned for contacting skin of the user, an actuator operatively coupled to the EEG electrode and configured to move the electrode in at least two dimensions, including an axial dimension and a lateral dimension to enable the EEG electrode to contact the skin at different locations, and one or more physical processors operatively connected with the EEG electrode and the actuator. The one or more physical processors being programmed with computer program instructions which, when executed cause the one or more physical processors to: obtain an impedance signal from the EEG electrode; and actuate the actuator to move the EEG electrode based on a comparison of the obtained impedance signal with an impedance threshold.

Abstract: A system for delivering sensory stimulation a sensor; a sensory stimulator configured to deliver sensory stimulation to a patient during a sleep session, the sensory stimulation having varying stimulation intensity levels; and a computer system. One or more physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine sleep stage information of the patient based on brain activity information of the patient during the sleep session from the sensor; provide input to the sensory stimulator based on the determined sleep stage information of the patient, the provided input causing the sensory stimulator to deliver the sensory stimulation to the patient; obtain stimulation response information from the patient, the stimulation response information including patient brain response to the delivered sensory stimulation; and determine a range of the stimulation intensity levels within which the patient brain response reaches a threshold.

Abstract: A patient interface face contact element comprises a surface for contacting the face of a patient, and a connection face for coupling the patient interface face contact element to a support using a magnetic coupling. The support is also provided as well as the complete patient interface. Headgear strap clips can also be retained magnetically.

Abstract: A patient interface face contact element includes a surface for contacting the face of a patient and a connection face for coupling the patient interface face contact element to a support using a magnetic coupling. The support is also provided as well as the complete patient interface. Headgear strap clips can also be retained magnetically.

Abstract: Methods and systems are provided for assisting a user of a wearable biosignal monitoring device (2) in adjusting the device to achieve optimum fit and positioning. The biosignal monitoring devices considered use integrated bio sensors (5) to monitor the user’s physiological activity for various purposes such as tracking daily activity patterns, determining mood, and monitoring sleep stages, among others. It is determined either during device setup or during primary use of the device whether the current fit and positioning of the device (2) enable the bio sensors (5) to properly sense the physiological signals needed for the device to perform its primary function. The user is then informed either after initial device setup whether adjustments need to be made in order to optimize device function during primary use, or is informed after primary use whether adjustments need to be made in order to improve device function during future primary use.

Abstract: 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.

Abstract: A system delivers auditory sleep stimulation. It is able to generate masking sounds for masking external noise as well as sleep stimulation tones for promoting deep sleep. Noise masking sounds are provided in a frequency range including first and second frequency bands, before the onset of sleep. In response to the detection of particular sleep characteristics (such as a particular sleep stage), the noise masking sounds in the second frequency band are stopped. Instead, sleep stimulation tones are provided in the second frequency band. Thus, noise masking continues but the sleep stimulation tones are not masked.

Abstract: A system and method that adapts how an audio output is generated based on a response of a subject's sleep parameters to the audio output. In particular, one or more rules used to generate the audio output are modified in response to how values of sleep parameters (i.e. parameters responsive to a sleep state of the subject) change in response to the audio output. The audio output can be iteratively modified to assess the impact of different audio outputs.

Abstract: The invention provides a device (and method) for masking noise in which a calibration is carried out to determine the sensitivity of a user to a calibration sound. During use of the device, the signal characteristics of the masking sound are adjusted based on the detected noise, the response of the user to the detected noise and also the response of the user to the calibration sound. As a result, a masking sound is generated that is optimally adapted to mask unwanted noise, in particular in a way which avoids the masking noise itself becoming a disturbance to the particular user.

Abstract: The present disclosure pertains to a system configured to facilitate prediction of a sleep stage and intervention preparation in advance of the sleep stage's occurrence. The system comprises sensors configured to be placed on a subject and to generate output signals conveying information related to brain activity of the subject; and processors configured to: determine a sample representing the output signals with respect to a first time period of a sleep session; provide the sample to a prediction model at a first time of the sleep session to predict a sleep stage of the subject occurring around a second time; determine intervention information based on the prediction of the sleep stage, the intervention information indicating one or more stimulator parameters related to periheral stimulation; and cause one or more stimulators to provide the intervention to the subject around the second time of the sleep session.

Abstract: The present disclosure pertains to a system and method for delivering sensory stimulation to a user during a sleep session. The system comprises one or more sensors, one or more sensory stimulators, and one or more hardware processors. The processor(s) are configured to: determine one or more brain activity parameters indicative of sleep depth in the user based on output signals from the sensors; cause a neural network to indicate sleep stages predicted to occur at future times for the user during the sleep session; cause the sensory stimulator(s) to provide the sensory stimulation to the user based on the predicted sleep stages over time during the sleep session, and cause the sensory stimulator(s) to modulate a timing and/or intensity of the sensory stimulation based on the one or more brain activity parameters and values output from one or more intermediate layers of the neural network.

Abstract: The invention provides a health device for automatically administering skin pressure-based therapies to a user. The device comprises one or more actuator members, each comprising a smart shape-changing material of a class which is disposed to change shape in response to a change in temperature or to the application of an electrical stimulus. The actuator members are controlled by a controller to apply pressure to one or more points on a user's skin.

Abstract: A system for delivering sensory stimulation a sensor; a sensory stimulator configured to deliver sensory stimulation to a patient during a sleep session, the sensory stimulation having varying stimulation intensity levels; and a computer system. One or more physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine sleep stage information of the patient based on brain activity information of the patient during the sleep session from the sensor; provide input to the sensory stimulator based on the determined sleep stage information of the patient, the provided input causing the sensory stimulator to deliver the sensory stimulation to the patient; obtain stimulation response information from the patient, the stimulation response information including patient brain response to the delivered sensory stimulation; and determine a range of the stimulation intensity levels within which the patient brain response reaches a threshold.

Abstract: 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.

Abstract: An electrode configured to provide electrical contact with skin of a subject is provided. The electrode includes an electrode body configured to be removably coupled with the skin of the subject and to receive electrical signals from and/or transmit electrical signals to the skin of the subject, and an electrical coupling that facilitates coupling the electrode to an external computing system. The electrode body includes a conductive silicone material configured to enable uptake or diffusion of moisture from the skin of the subject over which the electrode body is disposed; and a detergent configured to facilitate a flow of ions through the conductive silicone material.

Abstract: A patient interface face contact element comprises a surface for contacting the face of a patient, and a connection face for coupling the patient interface face contact element to a support using a magnetic coupling. The support is also provided as well as the complete patient interface. Headgear strap clips can also be retained magnetically.

Abstract: There is provided a method and apparatus comprising a processor to provide guidance for placement of a wearable device. At least one image of the body of a subject is acquired from one or more cameras (502). The at least one acquired image is analysed to recognise body parts of the subject and to identify a body part of the subject at which to place the wearable device (504). Guidance to place the wearable device at the identified body part of the subject is provided (506).

Abstract: A patient interface face contact (14) element comprises a surface for contacting the face of a patient, and a connection face for coupling the patient interface face contact element to a support (15) using a magnetic coupling (30). The support is also provided as well as the complete patient interface. Headgear strap clips can also be retained magnetically.

Abstract: The present disclosure pertains to a system and method for delivering sensory stimulation to a user during a sleep session. The system comprises one or more sensors, one or more sensory stimulators, and one or more hardware processors. The processor(s) are configured to: determine one or more brain activity parameters indicative of sleep depth in the user based on output signals from the sensors; cause a neural network to indicate sleep stages predicted to occur at future times for the user during the sleep session; cause the sensory stimulator(s) to provide the sensory stimulation to the user based on the predicted sleep stages over time during the sleep session, and cause the sensory stimulator(s) to modulate a timing and/or intensity of the sensory stimulation based on the one or more brain activity parameters and values output from one or more intermediate layers of the neural network.

Abstract: The present disclosure pertains to a system configured to facilitate prediction of a sleep stage and intervention preparation in advance of the sleep stage's occurrence. The system comprises sensors configured to be placed on a subject and to generate output signals conveying information related to brain activity of the subject; and processors configured to: determine a sample representing the output signals with respect to a first time period of a sleep session; provide the sample to a prediction model at a first time of the sleep session to predict a sleep stage of the subject occurring around a second time; determine intervention information based on the prediction of the sleep stage, the intervention information indicating one or more stimulator parameters related to periheral stimulation; and cause one or more stimulators to provide the intervention to the subject around the second time of the sleep session.