New AI model analyzes full night of sleep with high accuracy in largest study of its kind
8 Articles
8 Articles
Sleep staging using nocturnal sound analysis
Sleep staging is essential for evaluating sleep and its disorders. Most sleep studies today incorporate contact sensors that may interfere with natural sleep and may bias results. Moreover, the availability of sleep studies is limited, and many people with sleep disorders remain undiagnosed. Here, we present a pioneering approach for rapid eye movement (REM), non-REM, and wake staging (macro-sleep stages, MSS) estimation based on sleep sounds an…
New AI model analyzes full night of sleep with high accuracy in largest study of its kind
Researchers have developed a powerful AI tool, built on the same transformer architecture used by large language models like ChatGPT, to process an entire night's sleep. To date, it is one of the largest studies, analyzing 1,011,192 hours of sleep. The model, called patch foundational transformer for sleep (PFTSleep), analyzes brain waves, muscle activity, heart rate, and breathing patterns to classify sleep stages more effectively than traditio…
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