Understanding Sleep Apnea and How Apple Watch Series 10 Detects It

Monday, 9 September 2024, 22:42

Sleep apnea can lead to serious health issues, and the Apple Watch Series 10 introduces innovative sleep apnea detection. This feature alerts users to symptoms, potentially saving lives. Learn what sleep apnea is and how this smartwatch enhances sleep quality monitoring.
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Understanding Sleep Apnea and How Apple Watch Series 10 Detects It

What is Sleep Apnea?

Sleep apnea is a common condition where breathing stops and starts during sleep. One's body may not receive enough oxygen due to this disruption. It's categorized into two types: obstructive sleep apnea and central sleep apnea. Obstructive sleep apnea occurs when the upper airway is blocked, while central sleep apnea arises when the brain fails to send signals to breathe. Risk factors include obesity and hormonal changes. Symptoms can lead to severe health risks.

Apple Watch Series 10's Advanced Detection

The Apple Watch Series 10 utilizes an accelerometer to monitor breathing disturbances. This feature applies machine learning to identify sleep apnea symptoms, providing users with crucial health insights. When consistent patterns emerge indicating moderate to severe sleep apnea, the watch alerts users. Dr. Sumbul Ahmed Desai, Apple’s Vice President of Health, emphasizes the vital role of sleep in overall health, linking untreated sleep apnea to serious health risks.

Specifications and Pricing

  • The Apple Watch Series 10 features the largest display ever on an Apple Watch, 40% brighter than its predecessor.
  • Powered by the new S10 chipset, it's 30% smaller yet includes a four-core neural engine.
  • Pricing starts at Rs 46,900 for GPS models, reaching Rs 84,000 for premium variants.

Pre-orders are open now, with sales commencing on September 20. For a more detailed overview, visit the Apple website.


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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