Sleep performance system and method of use
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Publication Number
US-11541201-B2
Publication Date
2023-01-03
Expiration Date
Abstract
Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.
Core Innovation
A sleep monitoring system measures a user's brain activity during sleep using one or more electroencephalography (EEG) electrodes and quantifies a quality of a slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance scores include a sleep quality score and a brain fitness score. The sleep quality score is calculated from a total sleep time parameter, a total deep sleep time parameter, and a sleep efficiency parameter during a selected time period.
The brain fitness score is calculated from a total deep sleep parameter, a longest deep sleep parameter, and a deep sleep strength parameter. The deep sleep strength parameter is calculated from a root mean square of an amplitude of the slow-wave sleep during the selected time period. The sleep monitoring system provides at least one of audio stimulation, visual stimulation, and cranial electrical stimulation to the user during a selected portion of a sleep cycle of the user depending upon the one or more sleep performance scores associated with the measured brain activity.
In the related method, sleep quality is quantified by measuring brain activity during sleep with one or more EEG biosensors, quantifying sleep performance scores via a computer system, and providing stimulation during slow-wave sleep based upon those scores. A method of quantifying a brain fitness score measures one or more parameters relating to brain activity of the subject and determines a total deep sleep time parameter, a longest deep sleep parameter, and a deep sleep strength parameter calculated from a root mean square of an amplitude of a slow-wave sleep.
The brain fitness score is calculated based upon a weighting of the total deep sleep time parameter, longest deep sleep parameter, and deep sleep strength parameter. Audio stimulation is provided during a selected portion of a slow-wave sleep cycle depending upon a value of the brain fitness score.
Claims Coverage
The document includes three independent claims covering a sleep monitoring system using EEG-based sleep performance scores and stimulation, a method quantifying sleep quality using EEG biosensors and providing stimulation based on performance scores, and a method specifically quantifying a brain fitness score and providing audio stimulation based on that score. Across the independent claims, three inventive features recur: sleep quality based on time, efficiency, and deep-sleep parameters; brain fitness based on total deep sleep, longest deep sleep, and deep sleep strength derived from slow-wave amplitude RMS; and stimulation during a selected portion of a sleep or slow-wave sleep cycle.
EEG-based slow-wave sleep monitoring with sleep performance scores
A sleep monitoring system comprising one or more electroencephalography (EEG) electrodes configured to measure a user's brain activity during sleep; and a processor configured to quantify a quality of a slow-wave sleep of the user by determining one or more sleep performance scores associated with a measured brain activity.
Sleep quality and brain fitness scoring using time, efficiency, and slow-wave amplitude RMS
One or more sleep performance scores comprises a sleep quality score calculated from a total sleep time parameter, total deep sleep time parameter, and sleep efficiency parameter during a selected time period and a brain fitness score calculated from a total deep sleep parameter, longest deep sleep parameter, and deep sleep strength parameter, wherein the deep sleep strength parameter is calculated from a root mean square of an amplitude of the slow-wave sleep during the selected time period.
Closed mapping of sleep performance scores to stimulation during a selected portion of a sleep cycle
The system is configured to provide at least one of audio stimulation, visual stimulation, and cranial electrical stimulation to the user during a selected portion of a sleep cycle of the user depending upon the one or more sleep performance scores associated with the measured brain activity.
EEG-biosensor quantification of sleep quality with stimulation during slow-wave sleep
A method of quantifying a quality of a user's sleep comprising measuring, via one or more electroencephalography (EEG) biosensors, a user's brain activity during sleep; quantifying, via a computer system, a quality of a slow-wave sleep of the user by determining sleep performance scores associated with a measured brain activity; and providing at least one of audio stimulation, visual stimulation, and cranial electrical stimulation during the slow-wave sleep based upon the sleep performance scores associated with the measured brain activity.
Brain fitness and sleep quality functions defined by deep sleep parameters and slow-wave amplitude RMS
The sleep performance scores comprises a sleep quality score that is a function of total sleep time parameter, deep sleep parameter, and sleep efficiency parameter and wherein the brain fitness score is a function of total deep sleep time parameter, longest deep sleep parameter, and deep sleep strength parameter wherein the deep sleep strength parameter is calculated from a root mean square of an amplitude of the slow-wave sleep.
Brain fitness score quantification using weighted deep-sleep metrics
A method of quantifying a brain fitness score of a subject comprising measuring one or more parameters relating to a brain activity of the subject; determining a total deep sleep time parameter based upon a function of a total amount of deep sleep time measured from the subject; determining a longest deep sleep parameter based upon a function of a total amount of longest deep sleep time measured from the subject; determining a deep sleep strength parameter wherein the deep sleep strength parameter is calculated from a root mean square of an amplitude of a slow-wave sleep based upon a function of a deep sleep strength measured from the subject; and calculating the brain fitness score based upon a weighting of the total deep sleep time parameter, longest deep sleep parameter, and deep sleep strength parameter.
Audio stimulation during a selected portion of a slow-wave sleep cycle based on brain fitness score
Providing an audio stimulation during a selected portion of a slow-wave sleep cycle of the subject depending upon a value of the brain fitness score.
Across the independent claims, the inventive coverage centers on computing sleep performance scores from EEG-measured slow-wave sleep parameters, including deep sleep strength derived from slow-wave amplitude RMS, and using those scores to drive audio, visual, or cranial electrical stimulation during a selected portion of a sleep or slow-wave sleep cycle.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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