Apple Watch Sleep Apnea Detection Feature Receives FDA Clearance

Monday, 16 September 2024, 07:21

Sleep apnea detection on the Apple Watch has received FDA clearance, enabling Watch Series 9 and Watch Ultra 2 users to track potential breathing disturbances. This innovative sleep apnea feature, part of the watchOS 11 update, leverages the device’s accelerometer to detect movements linked with sleep disruptions. By alerting users to possible moderate to severe sleep apnea, Apple aims to enhance user health monitoring significantly.
Theverge
Apple Watch Sleep Apnea Detection Feature Receives FDA Clearance

New Sleep Apnea Detection Feature

Apple has officially rolled out its sleep apnea detection feature with FDA clearance, allowing owners of the Apple Watch Series 9 and Watch Ultra 2 to start monitoring their health.

How It Works

  • The feature operates through watchOS 11, utilizing the watch's accelerometer.
  • It can detect small movements in the wrist that are indicative of breathing disturbances during sleep.
  • Users will receive notifications regarding possible moderate to severe sleep apnea.

Health Monitoring Through the Health App

In addition to detection, users can track the new breathing disturbances metric in the Health app, which allows for downloading and sharing data with healthcare providers.

Technological Advancements

  1. Apple states the algorithm for sleep apnea detection relies on advanced machine learning.
  2. It utilizes a comprehensive data set from clinical-grade tests.

Apple's sleep apnea detection feature follows similar moves by competitors, as seen with Samsung's Galaxy Watch, which also gained FDA approval for a sleep apnea feature.

Global Rollout Plans

The sleep apnea detection feature will also be included in the upcoming Watch Series 10, with plans to make it available across over 150 countries and regions.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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