The methods, systems and devices provided herein relate to sleep-aid. Some embodiments include a vibration source and/or a sound source. In some embodiments, the vibration source and/or sound source emit vibrations and/or sounds that stimulate a subject's vagus nerve, or another nerve, to induce sleep or relaxation in the subject.

The invention relates to a system (4) for estimating a fertility status of a woman, particularly for determining a conception probability of a woman, the system (4) comprising:—A wearable device (2A, 2B), comprising at least one sensor (201, 203, 204) configured to record at least one physiological signal from a woman wearing the wearable device (2A, 2B) and to generate sensor data from the at least one physiological signal, wherein the wearable device (2A, 2B) is configured and arranged to provide the sensor data to—An evaluation system (1) configured and arranged to receive and process the sensor data from the wearable device (2A, 2B), wherein the evaluation system (1) is further configured and arranged to classify the sensor data into at least a first group and a second group, wherein the first group is associated to sensor data indicative of a woman having a high fertility status and wherein the second group is associated to sensor data indicative of a woman having a low fertility status.

The present invention relates to a method of operating a smart mattress system for preventing snoring which can stop snoring of a user, wherein an air mattress and an air pillow interlock with a user terminal so that a user can easily control the air mattress and the air pillow.

Neural stimulation is provided according to a closed loop algorithm to treat sleep disordered breathing (SOB), including obstructive sleep apnea (OSA). The closed loop algorithm is executed by a system comprising a processor (which can be within the neural stimulator). The closed loop algorithm includes monitoring physiological data (e.g., EMG data) recorded by a sensor implanted adjacent to an anterior lingual muscle; identifying a trigger within the physiological data, wherein the trigger is identified as a biomarker for a condition related to sleep (e.g., inspiration); and applying a rule-based classification (which can learn) to the trigger to determine whether one or more parameters of a stimulation should be altered based on the biomarker.

A sleep stage estimation device includes a subject data acquisition unit that acquires pulsation data and body movement data of a subject, a sleep stage probability estimation unit that acquires a feature quantity sequence from the pulsation data and estimates a sleep stage probability sequence of the subject from the acquired feature quantity sequence by using a learned sleep stage probability estimation model, a sleep stage transition probability estimation unit that acquires a body movement amount sequence from the body movement data and estimates a sleep stage transition probability sequence of the subject from the acquired body movement amount sequence by using a learned sleep stage transition probability estimation model, and a sleep stage estimation unit that estimates a sleep stage sequence of the subject from the sleep stage probability sequence and the sleep stage transition probability sequence by using a learned conditional random field model.

Systems and methods for enhancing wellness in a habitable space are provided. In some forms, an example system for enhancing wellness in a habitable space includes a control system having a processor, communication circuitry, and a memory. The communication circuitry of the control system is configured to communicate with one or more devices positioned within the habitable space. One or more sensors may also be positioned proximate the habitable space to detect indicia (e.g., biometric characteristics of a user, behavioral characteristics of a user, and environmental characteristics) and communicate the detected indicia to the control system. Based at least in part on the detected indicia, the control system is configured to trigger initiation of a scene in the habitable space by communicating a signal to at least one of the devices in the habitable space to adjust operation thereof.

The invention relates to a novel method for scoring sleep stages of a mammal subject, comprising extracting features from polysomnography data using the continuous wavelet transform; grouping the extracted features into clusters that are assigned to different sleep stages; and scoring the sleep stages based on the clusters. The method does not require prior visual knowledge of sleep stages nor supervised training.

A sleep assessment system includes a blood flow measurement unit and a assessment unit. The blood flow measurement unit acquires first information related to the blood flow of the user. The assessment unit determines the sleep stage of the user based on the first biological information.

The present disclosure is in the field of sleep and respiratory care. In particular, the present disclosure provides means and methods for decreasing the respiratory effort of a sleeping subject. The present disclosure also provides means and methods for treating the snoring of a sleeping subject.

A system for monitoring a sleep of a user includes a plurality of patches for placement adjacent to a surface of a body of a user, a processor, and a data communication system. Each patch from the plurality of patches includes at least one sensor. The data communication system transmits positional data generated by the plurality of sensors, including orientation data and motion data, to the processor. The processing of the positional data includes detecting a change in position of the body of the user between a first position and a second position. Based on the first image and the second image, an animation of a movement of the body from the first position to the second position is generated.