Trending Now - Samsung's Galaxy Watch Can Accurately Predict Fainting Events
WHO:
samsung.com - Samsung Electronics announced a breakthrough in fainting prediction.
samsung.com - Professor Junhwan Cho is from the Department of Cardiology at Chung-Ang University Gwangmyeong Hospital.
samsung.com - Jongmin Choi is the Head of Health R&D Group, Mobile eXperience (MX) Business at Samsung Electronics.
WHAT:
samsung.com - The study demonstrated that the Galaxy Watch6 can predict fainting episodes with a clinically meaningful sensitivity of 90 percent and a specificity of 64 percent.
samsung.com - The research findings were published in Volume 7, Issue 4 of “European Heart Journal – Digital Health,” a leading medical journal.
samsung.com - The study represents the world’s first to successfully demonstrate the potential for a commercial smartwatch to provide early prediction of syncope.
samsung.com - Samsung plans to further advance the health monitoring capabilities of its wearable portfolio and expand collaboration with leading medical institutions.
samsung.com - Samsung's Galaxy Watch6 can predict vasovagal syncope (VVS) with high accuracy.
samsung.com - The study demonstrated the ability to predict fainting episodes up to five minutes in advance with 84.6 percent accuracy.
samsung.com - The model achieved a clinically meaningful sensitivity of 90 percent and a specificity of 64 percent.
samsung.com - Up to 40% of people experience vasovagal syncope over their lifetime, with one-third experiencing recurrent episodes.
WHERE:
samsung.com - The joint study was conducted at Chung-Ang University Gwangmyeong Hospital in Korea.
WHEN:
samsung.com - The research findings were published in Volume 7, Issue 4 of “European Heart Journal – Digital Health.”
WHY:
samsung.com - The goal is to lead the digital health industry and accelerate the implementation of personalized, preventive health solutions.
samsung.com - The goal is to lead the digital health industry and accelerate the implementation of personalized, preventive health solutions.
samsung.com - Early warning of fainting could allow patients to get into a safe position or call for help, reducing the incidence of secondary injuries.
HOW:
samsung.com - The research team evaluated 132 patients with suspected VVS symptoms during induced fainting tests using a Galaxy Watch equipped with a photoplethysmography (PPG) sensor.
samsung.com - The team analyzed heart rate variability (HRV) data with an AI algorithm to predict impending fainting episodes.
(UPDATED May 8, 2026 01:34 UTC)
A recent study has shown that the Galaxy Watch6 can predict fainting episodes with a clinically meaningful sensitivity of 90 percent and a specificity of 64 percent. These findings were published in Volume 7, Issue 4 of the "European Heart Journal – Digital Health," a leading medical journal. Samsung aims to lead the digital health industry and accelerate the implementation of personalized, preventive health solutions.
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(UPDATED May 7, 2026 21:21 UTC)
Samsung has made a groundbreaking advancement by successfully demonstrating the potential for a commercial smartwatch to predict syncope early. The company plans to enhance the health monitoring features of its wearables and collaborate with top medical institutions to achieve this goal. Their aim is to lead the digital health industry and promote the implementation of personalized, preventive health solutions.
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(UPDATED May 7, 2026 11:39 UTC)
Samsung Electronics has announced a significant breakthrough in predicting fainting episodes, specifically vasovagal syncope, using their Galaxy Watch6, which can forecast these events with an impressive 84.6 percent accuracy up to five minutes in advance. This joint study, conducted at Chung-Ang University Gwangmyeong Hospital in Korea, involved 132 patients and utilized a Galaxy Watch equipped with a photoplethysmography sensor to analyze heart rate variability data through an AI algorithm. The findings, published in Volume 7, Issue 4 of “European Heart Journal – Digital Health,” highlight the potential for early warnings to help patients avoid secondary injuries by allowing them to get into a safe position or call for assistance.