Samsung has recently announced that a joint clinical study with Chung-Ang University Gwangmyeong Hospital in Korea has successfully demonstrated high-accuracy prediction of vasovagal syncope (VVS) using biosignals collected from the Galaxy Watch6.
VVS is a condition where heart rate and blood pressure drop suddenly, often due to triggers such as excessive stress, causing temporary loss of consciousness. Although the fainting episode itself is generally not life-threatening, unexpected falls may result in serious injuries including fractures and concussions, highlighting the importance of early prediction and prevention.
The joint research team evaluated 132 patients with suspected VVS during induced fainting tests. Using a Galaxy Watch equipped with a photoplethysmography (PPG) sensor, they analyzed heart rate variability (HRV) data with an AI-based algorithm.
The model was able to predict impending fainting episodes up to five minutes in advance, achieving 84.6% accuracy, with a sensitivity of 90% and a specificity of 64%, indicating clinically meaningful performance.
Samsung plans to continue advance the health monitoring capabilities of its wearable devices while expanding collaborations with leading medical institutions. Through these efforts, the company aims to further advance digital healthcare and support the development of more personalized preventive health solutions.
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