PERSONALIZED SLEEP CLASSIFYING METHODS AND SYSTEMS
Methods and systems are provided for creating a personalized sleep classifier for a subject. Sleep data are obtained from biosignals from a subject in a High-Accuracy Sleep Study (HASS). Sleep data are also obtained from biosignals from the subject in a Simplified Sleep Study (SSS), the High-Accurac...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
26.04.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Methods and systems are provided for creating a personalized sleep classifier for a subject. Sleep data are obtained from biosignals from a subject in a High-Accuracy Sleep Study (HASS). Sleep data are also obtained from biosignals from the subject in a Simplified Sleep Study (SSS), the High-Accuracy Sleep Study being obtained simultaneously from the subject with the Simplified Sleep Study. A high-resolution HASS sleep profile is developed from the sleep data of the High-Accuracy Sleep Study. A personalized sleep classifier is created that outputs a SSS sleep profile of the subject based on the sleep data from the Simplified Sleep Study. And the personalized sleep classifier is calibrated such the SSS sleep profile output by the personalized sleep classifier based on the Simplified Sleep Study of the subject approaches or aligns with the high-resolution HASS sleep profile based on the High-Accuracy Sleep Study of the subject. |
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Bibliography: | Application Number: EP20210739789 |