Samsung's Galaxy Watch Can Predict Fainting with High Accuracy
Samsung says its Galaxy Watch can predict fainting with 'high accuracy'
Engadget
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Samsung has developed a feature in its Galaxy Watch 6 that can predict fainting episodes caused by vasovagal syncope (VVS) with 84.6% accuracy. This advancement, achieved through collaboration with Chung-Ang University Gwangmyeong Hospital in South Korea, could help users avoid injuries by providing early warnings. The feature's availability remains uncertain.
- 01Samsung's Galaxy Watch 6 can predict fainting episodes caused by vasovagal syncope with 84.6% accuracy.
- 02The prediction is based on heart rate variability data analyzed through an AI algorithm.
- 03The research involved 132 patients and was conducted in collaboration with Chung-Ang University Gwangmyeong Hospital.
- 04The feature aims to shift healthcare towards preventive care rather than reactive care.
- 05Samsung plans to accelerate the implementation of personalized health solutions, though no release date for this feature has been announced.
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Samsung has announced a groundbreaking feature for its Galaxy Watch 6 that can predict fainting episodes due to vasovagal syncope (VVS) with 84.6% accuracy. This type of fainting, while generally not dangerous, can lead to serious injuries from falls. The prediction capability was developed in partnership with Chung-Ang University Gwangmyeong Hospital in South Korea and is based on data collected from the watch's photoplethysmography (PPG) sensor, which measures heart rate and rhythm. The research involved 132 patients undergoing tests to simulate fainting episodes, and the AI algorithm used was able to provide warnings up to five minutes in advance. This innovation represents a shift towards preventive healthcare, as noted by Samsung's head of Health R&D Group, Jongmin Choi. While the company has not specified when this feature will be available to users, it expresses intentions to accelerate the rollout of personalized health solutions. The Galaxy Watch 8 currently includes various health monitoring features such as sleep apnea detection and heart irregularity alerts.
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This feature could significantly enhance user safety by providing early warnings about fainting, potentially preventing serious injuries.
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