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Consumer Sleep Technology

Search All Applications in Consumer Sleep Technology


Application US20200397366


Published 2020-12-24

Sleep Activity Detection Method And Apparatus

A method and apparatus for detecting sleep state from both physiological and environmental sensors. The analysis is performed on segmented signals and sleep state is detected if sleep probability is above a predefined threshold. The method may be applied to any noisy signal or set of signals acquired from a user and environment in which there is uncertainty about the presence of sleep state and in real-time analysis of signals, preceding further analysis of the sleep signal.



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4 Independent Claims

  • 1-32. (canceled)

  • 33. A method for detecting sleep activity, the method comprising: receiving one or more input signals; performing normalisation of the one or more input signals; calculating a circadian rhythm value from a circadian rhythm model and a sleep-wake pressure value from a sleep-wake pressure model; performing segmentation of the normalised one or more input signals; calculating a sleep probability value as a function of at least one characteristic of the segmented normalised one or more input signals, the calculated circadian rhythm value and the calculated sleep-wake pressure value; and outputting an output signal indicating that the one or more input signals comprises a sleep episode, if the sleep probability value is above a predefined sleep detection threshold.

  • 51. An apparatus for detecting sleep activity, the apparatus comprising: an input for receiving one or more input signals; a processor for processing the input signals; the processor being configured to execute a method comprising: performing normalisation of the one or more input signals received by the input; calculating a circadian rhythm value from a circadian rhythm model and a sleep-wake pressure value from a sleep-wake pressure model; performing segmentation of the normalised one or more input signals; calculating a sleep probability value as a function of at least one characteristic of the segmented normalised one or more input signals, the calculated circadian rhythm value and the calculated sleep-wake pressure value; and outputting an output signal indicating that the one or more input signals comprises a sleep episode, if the sleep probability value is above a predefined sleep detection threshold.

  • 52. A non-transitory computer-readable medium comprising instructions which, when executed by a computer, cause the computer to carry out a method comprising: receiving one or more input signals; performing normalisation of the one or more input signals; calculating a circadian rhythm value from a circadian rhythm model and a sleep-wake pressure value from a sleep-wake pressure model; performing segmentation of the normalised one or more input signals; calculating a sleep probability value as a function of at least one characteristic of the segmented normalised one or more input signals, the calculated circadian rhythm value and the calculated sleep-wake pressure value; and outputting an output signal indicating that the one or more input signals comprises a sleep episode, if the sleep probability value is above a predefined sleep detection threshold.