Apple Watch Can Now Detect Sleep Apnea: New Feature On WatchOS 11

JAKARTA - Apple Watch is again presenting innovations in the world of health by introducing the sleep apnea detection feature, which makes monitoring of sleep disturbances easier and more affordable for its users. This feature comes with watchOS 11 and can be used on some of Apple Watch's newest models.

This sleep apnea detection feature is available in the following models:

However, the first-generation Apple Watch Ultra does not support this feature due to hardware limitations.

To use this feature, users must have an Apple Watch that already runs watchOS 11 and an updated iPhone to iOS 18.

Open the Health App on the iPhone Open the Health application that is already installed on your iPhone.

Find 'Breathing Disturbances' On the Explore tab, look for Breathing Disturbances or respiratory problems.

Apnea's Sleep Detection Settings tap the "set up" button to start activating this feature.

Answer the questions raised by Jawab some questions to adjust the settings according to your needs.

Activate This Feature Make Sure your Apple Watch is fully occupied before bed, then wear the watch while sleeping.

After the first night, you can see the results of monitoring in the Health application:

Open the Navigation Health App to Breathing Disturbances to see your sleep data.

Monitoring the Results Data will be displayed in the form of a graph, with scales from "not increasing" to "increasing." If Apple Watch detects an increase in respiratory distress, you will receive a direct notification.

If Apple Watch detects an increasing respiratory disorder, it is not an immediate diagnosis, but will advise you to consult a doctor. You can also export data from the Health app and share it with healthcare providers for further analysis.

The sleep apnea detection feature is currently available in the United States and will be rolling out to more than 150 other countries in stages.

With this new feature, Apple Watch provides a more practical and non-invasive way to detect potential sleep-related health problems, so that users can be more aware of their health condition