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      UC Santa Cruz researchers created Pulse-Fi, a system that uses ordinary Wi-Fi signals and machine learning to measure heart rate with high accuracy, no wearable devices required. In tests with 118 people across 17 body positions, it measured heart rate within half a beat per minute in just five seconds, even from up to 10 feet away. The system works by analyzing tiny changes in Wi-Fi signals caused by heartbeats and processing them through a neural network. The team is now exploring applications for tracking breathing and sleep apnea, pointing to broader health-monitoring uses.

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