In the study conducted in South Korea, the results of artificial intelligence assisted smart rings designed for cardiac follow-up were compared with ECG results simultaneously. The results are promising for the future. South Korean researchers tested heart monitoring technology on a wearable smart ring supported by a deep learning algorithm. Researchers hope that the rings can be used to detect atrial fibrillation in the near future. Atrial fibrillation, which can be defined as atrial tremors or vibrations, refers to cardiac arrhythmia.
In this study presented in the Scientific Sessions of Heart Rhythm Association this week, 119 patients with atrial fibrillation were compared with ECGs and optical sensor based photopleticographs. The researchers said the average confidence level for the actual classification was 98.6%.
Eue-Keun Choi, a professor of cardiology at Seoul National University Hospital, said that they wanted to evaluate the deep learning algorithm in daily activity with the newly developed smart ring, and that in a clinical study, the ring could be used to detect atrial fibrillation.
The need for daily or weekly charging of smart watches may suggest that heart monitoring cannot be performed on a smaller wearable device. However, some of the functions of smart watches such as display, advanced processors and notifications will not be used on the ring, and it can make heart tracking with these devices much more useful.
This was the most important obstacle faced by previous heart monitoring devices that were once large and very expensive. However, these devices have recently been transformed into affordable, daily-worn small companions for some users.
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