Tracking Vital Signs During Sleep Leveraging Off-the-shelf WiFi

摘要: Tracking human vital signs of breathing and heart rates during sleep is important as it can help to assess the general physical health a person provide useful clues for diagnosing possible diseases. Traditional approaches (e.g., Polysomnography (PSG)) are limited clinic usage. Recent radio frequency (RF) based require specialized devices or dedicated wireless sensors only able track rate. In this work, we propose both rate by using off-the-shelf WiFi without any wearable devices. Our system re-uses existing network exploits fine-grained channel information capture minute movements caused beats. thus has potential be widely deployed perform continuous long-term monitoring. The developed algorithm makes use in time domain estimate rates, works well when either individual two persons bed. extensive experiments demonstrate that our accurately under realistic settings, achieve comparable even better performance comparing traditional approaches, which strong indication providing non-invasive, monitoring additional cost.