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Sleep Apnea Detection: Inside the Apple Watch Algorithm

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Manage episode 462944390 series 2688360
Content provided by AASM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AASM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, host Dr. Seema Khosla explores the new Apple Watch sleep apnea screening algorithm with Dr. Matt Bianchi, a research scientist from Apple's Health Technologies team. Learn about the innovative technology that monitors sleep patterns and potentially identifies sleep apnea risk through advanced wearable device capabilities.

Discover how this algorithm uses accelerometry and breathing disturbance detection to screen for potential sleep apnea, its limitations, and implications for patient care. The conversation delves into the algorithm's performance, its role in consumer health technology, and guidance for sleep medicine professionals navigating new diagnostic tools. Whether you're a clinician or interested in sleep health technology, this episode offers critical insights into the future of sleep disorder screening.

  continue reading

108 episodes

Artwork
iconShare
 
Manage episode 462944390 series 2688360
Content provided by AASM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AASM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, host Dr. Seema Khosla explores the new Apple Watch sleep apnea screening algorithm with Dr. Matt Bianchi, a research scientist from Apple's Health Technologies team. Learn about the innovative technology that monitors sleep patterns and potentially identifies sleep apnea risk through advanced wearable device capabilities.

Discover how this algorithm uses accelerometry and breathing disturbance detection to screen for potential sleep apnea, its limitations, and implications for patient care. The conversation delves into the algorithm's performance, its role in consumer health technology, and guidance for sleep medicine professionals navigating new diagnostic tools. Whether you're a clinician or interested in sleep health technology, this episode offers critical insights into the future of sleep disorder screening.

  continue reading

108 episodes

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