A bed includes components to control temperature of a sleep surface, for example based on time and historical usage patterns by a user. In some embodiments the temperature of the sleep surface is controlled based on information indicating a sleep state of the user. In some embodiments the temperature is dynamically adjusted so to achieve particular sleep states and/or sleep patterns for the user. In some embodiments the temperature and timing of temperature adjustments is iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.

Systems and methods for managing power and data usage in a mobile electronic communications device entail detecting a sleep state of a user of the device, and entering an idle mode when the sleep state of the user is deep sleep, wherein the idle mode restricts device CPU and network activities to exclude user-centric operations. When the sleep state of the user changes from the deep sleep state, the device exits the idle mode and enters an operative state to execute any pending user-centric operations.

Introduced are a bed device system and methods for: gathering human biological signals, such as heart rate, breathing rate, or temperature; analyzing the gathered human biological signals; and controlling the bed device system, e.g., a temperature of the bed device, based on the analysis.

A monitoring system configured to measure the user's health-related parameters while in a certain state is disclosed. Based on whether the user is in the certain state and/or one or more criteria being met, the monitoring system can perform a physiological measurement such as a blood pressure measurement. The monitoring system can be capable of dynamically adjusting the measurement parameters, criteria, and acquired information based one or more scalers. The criteria can be based on user states or conditions such that user disruptions can be reduced and the measurement accuracy and/or efficiency can be enhanced. The monitoring system can also measure the user's parameters during the measurement and may abort the measurement if the measurement may not have accurate information and/or to reduce any disruption to the user. Alternatively, the measurement can be annotated so that the measurement can be used during data interpretation with certain qualifiers attached.

Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.

A sleep-wakefulness determination device is provided which can determine sleep and wakefulness of a user. The sleep-wakefulness determination device is provided with a scalar calculation unit, a feature amount calculation unit, and a sleep-wakefulness determination unit. The scalar calculation unit is configured to calculate a scalar value on the basis of each component of an acceleration vector in a part of the body of the user. The feature amount calculation unit is configured to calculate, on the basis of the scalar value, a feature amount for each epoch defined as a prescribed time. The sleep-wakefulness determination unit is configured to determine sleep or wakefulness of the user on the basis of the feature amount of a desired epoch among the epochs and the feature amounts of surrounding epochs included in preceding and subsequent epochs of the desired epoch in a time series.

A method for managing sleep of a user comprises obtaining, by a computing system, sleep data and environmental data for the user; determining, by the computing system, a sleep state of the user based on the sleep data; determining, by the computing system, one or more awakening actions based on the sleep state of the user and the environmental data; and causing one or more devices in an environment of the user to perform the one or more awakening actions to awaken the user.

A method and a system of alerting and/or monitoring patient with sleep disorder includes: a detector for detecting a change in a first parameter, a storage device, a control unit for deciding if the change meets a set criteria, and if the change meets the set criteria, saving the first parameter and/or time in the storage device, a feedback unit for adjusting the set criteria according to sleep behavior of the patient, and an alarm device for sending an alarm, wherein the first parameter includes sound, motion, heart rate, blood pressure, breathing frequency, magnitude and/or frequency of movement, muscle activity, brain activity, eye movements, heart rhythm, heart rate variability, blood oxygen levels, breathing pattern, and/or body position.

A medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.

Introduced are methods and systems for: gathering human biological signals, such as heart rate, respiration rate, or temperature; analyzing the gathered human biological signals; and controlling a vibrating pillow strip based on the analysis.