Samsung Galaxy Watch Achieves World-First Fainting Prediction
▼ Summary
– A joint study with Chung-Ang University Gwangmyeong Hospital used Galaxy Watch6 biosignals to predict vasovagal syncope with high accuracy.
– Vasovagal syncope causes abrupt drops in heart rate and blood pressure, leading to fainting and potential secondary injuries like fractures.
– The AI model analyzed heart rate variability from the watch’s PPG sensor, predicting fainting up to five minutes in advance with 84.6% accuracy.
– The research, published in “European Heart Journal – Digital Health,” is the first to show a commercial smartwatch can predict syncope early.
– Samsung aims to expand wearable health monitoring and collaboration with medical institutions to advance preventive healthcare solutions.
A groundbreaking clinical study has demonstrated that a Samsung Galaxy Watch can predict fainting episodes up to five minutes in advance, marking the world’s first successful use of a commercial smartwatch for early syncope detection. The research, conducted in partnership with Chung-Ang University Gwangmyeong Hospital in Korea, offers a potential breakthrough in preventing injuries caused by sudden loss of consciousness.
The study focused on vasovagal syncope (VVS), a condition triggered by factors like extreme stress that causes a sharp drop in heart rate and blood pressure, leading to temporary fainting. While the fainting itself is usually harmless, the resulting falls can cause serious secondary injuries such as fractures or concussions. Early warning could be life-changing for those affected.
“Up to 40% of people experience vasovagal syncope over their lifetime, with one-third experiencing recurrent episodes,” explained Professor Junhwan Cho from the Department of Cardiology at Chung-Ang University Gwangmyeong Hospital. “An early warning could give patients advance time to get into a safe position or call for help, which would dramatically reduce the incidence of secondary injuries.”
To test the technology, the research team evaluated 132 patients with suspected VVS symptoms during induced fainting tests. Using a Galaxy Watch6 equipped with a photoplethysmography (PPG) sensor, they analyzed heart rate variability (HRV) data through an AI algorithm. The model predicted fainting episodes up to five minutes ahead with 84.6% accuracy, achieving a clinically meaningful sensitivity of 90% and a specificity of 64%.
Jongmin Choi, Head of Health R&D Group at Samsung Electronics’ Mobile eXperience (MX) Business, highlighted the broader implications. “This study is an example of how wearable technology can help shift healthcare from being designed for ‘post-care’ to a model of ‘preventive care,’” he said. “We are committed to driving technological innovation that empowers our users to lead healthier everyday lives.”
The findings were published in Volume 7, Issue 4 of the European Heart Journal – Digital Health, a leading medical journal. This represents the first study globally to show that a commercial smartwatch can provide early syncope prediction.
Samsung plans to continue advancing the health monitoring capabilities of its wearable devices and expand partnerships with leading medical institutions. The company aims to lead the digital health industry and accelerate the development of personalized, preventive health solutions.
(Source: Samsung.com)
