
@ShahidNShah
The world of wearable technology continues to evolve, bringing new possibilities for health monitoring. What started with step counting and heart rate tracking has now expanded to life-saving features. One of the most significant advancements is the ability of smartwatches to detect cardiac arrest.A recent study led by Google Research has demonstrated that a machine learning algorithm can identify sudden pulse loss with remarkable accuracy.The system, designed to recognize cardiac arrest events, can automatically call emergency services when it detects pulselessness. This feature could be life-changing, especially for individuals who experience cardiac arrest without anyone around to help.Early detection and quick medical intervention are key to survival, making this innovation a potential game-changer in emergency response.
“Wearable technology has the potential to revolutionize emergency response,” noted Google Research Team.Out-of-hospital cardiac arrest (OHCA) is a major cause of sudden death worldwide. In many cases, survival depends on immediate recognition and rapid medical response.Unfortunately, a significant number of these incidents occur without witnesses, making timely intervention nearly impossible. Studies show that 50–75% of OHCA cases happen with no one around to call for help.
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