• btc = $67 499.00 2 621.49 (4.04 %)

  • eth = $3 252.00 104.17 (3.31 %)

  • ton = $6.78 0.23 (3.56 %)

  • btc = $67 499.00 2 621.49 (4.04 %)

  • eth = $3 252.00 104.17 (3.31 %)

  • ton = $6.78 0.23 (3.56 %)

11 Mar, 2023
1 min time to read

The latest instance of a person's Apple Watch alerting them to a potentially deadly heart condition has been highlighted in a new report by the BBC.

Adam Croft, a 36-year-old resident of Bedfordshire, recounted his life-changing experience with the features of his Apple Watch. He had never expected to use the heart monitoring feature on his watch, but it ended up being the key factor in detecting his atrial fibrillation.

One night, after getting up from the sofa, Croft felt a bit dizzy and, upon reaching the kitchen for some water, he immediately felt the world closing in. He managed to make it to the floor, where he was soon covered in cold sweat. Despite feeling unwell, he brushed it off and went to bed, thinking nothing of it.

However, the next morning, he woke up to a series of alerts on his Apple Watch warning him of an irregular heart rhythm. Concerned, he contacted emergency services, who advised him to go to the hospital within the hour. At Bedford Hospital, additional tests confirmed that he was, indeed, experiencing atrial fibrillation.

It is remarkable to note that, had it not been for the alert from his watch, Croft may have not gone to the hospital at all. He had previously experienced minor heart flutters, but they had gone undetected by his watch. Moreover, he had never had any serious symptoms, such as chest pain or shortness of breath.

Doctors immediately put Croft on blood thinners, and he will soon undergo a cardioversion procedure to restore his heart's regular rhythm using quick, low-energy shocks. Thanks to the heart monitoring feature of his Apple Watch, Croft was able to receive prompt medical attention, and he now plans to continue wearing his watch to monitor his health closely. This story serves as a testament to the value of wearable technology and how it can aid in the detection of potentially life-threatening conditions.