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Wital: WiFi-based Real-time Vital Signs Monitoring During Sleep
  • +2
  • Xiang Zhang ,
  • Huan Yan ,
  • Yu Gu ,
  • Zhi Liu ,
  • Fuji Ren
Xiang Zhang
Hefei University of Technology, Hefei University of Technology, Hefei University of Technology

Corresponding Author:[email protected]

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High-quality sleep is essential to our daily lives, and real-time monitoring of vital signs during sleep is beneficial. Current sleep monitoring solutions are mostly based on wearable sensors or cameras, the former is worse for sleep quality, the latter is worse for privacy, dissimilar to such methods, we implement our sleep monitoring system based on COTS WiFi devices. There are two challenges need to be overcome in the system implementation process: First, the torso deformation caused by breathing/heartbeat is weak, how to effectively capture this deformation? Second, movements such as turning over will affect the accuracy of vital signs monitoring, how to quickly distinguish such movements? For the former, we propose a motion detection capability enhancement method based on Rice-K theory and Fresnel theory. For the latter, we propose a sleep motion positioning algorithm based on regularity detection. The experimental results indicated the performance of our method.
Jun 2023Published in IEEE Transactions on Human-Machine Systems volume 53 issue 3 on pages 629-641. 10.1109/THMS.2023.3264247