The study involved 132 patients with suspected vasovagal syncope symptoms. Researchers used the Galaxy Watch6’s photoplethysmography sensor to monitor heart rate variability and other physiological signals during controlled testing. Samsung’s AI system then analyzed those patterns to identify changes associated with an approaching episode.
According to the study, the system reached 90% sensitivity and 64% specificity, prioritizing detection of real fainting events even at the cost of some false positives.
“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,” said Professor Junhwan Cho of the Department of Cardiology at Chung-Ang University Gwangmyeong Hospital, who led the research.
Samsung said the technology is part of a broader effort to move wearable health monitoring from reactive tracking toward predictive intervention. “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,’” said Jongmin Choi, Head of Health R&D Group at Samsung’s Mobile eXperience Business.
Vasovagal syncope affects a large portion of the population and can lead to injuries caused by sudden falls. Samsung said the five-minute warning window could allow users to sit down, seek assistance, or avoid dangerous situations before losing consciousness.
The company has not announced plans for a commercial rollout or a timeline for bringing the capability to Galaxy Watch users. Samsung said it intends to continue expanding the health monitoring features across its wearable lineup while working with additional medical institutions on future research.
The development highlights a growing push across the wearable industry to move beyond passive health tracking into systems designed to forecast medical events before symptoms fully emerge.
This analysis is based on reporting from techbuzz.
Image courtesy of Samsung.
This article was generated with AI assistance and reviewed for accuracy and quality.
