# WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep

arXiv: https://arxiv.org/abs/1908.05108 · HTML: https://mlsanity.com/paper/1908.05108/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Aug 2019.

## Built on by (most cited first, 9 of 9)

- [Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned](https://mlsanity.com/paper/2306.17062/) (2023)
- [Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing](https://mlsanity.com/paper/2301.03713/) (2023)
- [Extracting Range-Doppler Information of Moving Targets from Wi-Fi Channel State Information](https://mlsanity.com/paper/2508.02799/) (2025)
- [Non Line-of-Sight Optical Wireless Communication using Neuromorphic Cameras](https://mlsanity.com/paper/2503.11226/) (2025)
- [CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing](https://mlsanity.com/paper/2512.04723/) (2025)
- [Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals](https://mlsanity.com/paper/2311.01367/) (2023)
- [Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification](https://mlsanity.com/paper/2312.13035/) (2023)
- [Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning](https://mlsanity.com/paper/2507.07118/) (2025)
- [Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops](https://mlsanity.com/paper/2603.10845/) (2026)

## Abstract (arXiv)

Good quality sleep is essential for good health and sleep monitoring becomes a vital research topic. This paper provides a low cost, continuous and contactless WiFi-based vital signs (breathing and heart rate) monitoring method. In particular, we set up the antennas based on Fresnel diffraction model and signal propagation theory, which enhances the detection of weak breathing/heartbeat motion. We implement a prototype system using the off-shelf devices and a real-time processing system to monitor vital signs in real time. The experimental results indicate the accurate breathing rate and heart rate detection performance. To the best of our knowledge, this is the first work to use a pair of WiFi devices and omnidirectional antennas to achieve real-time individual breathing rate and heart rate monitoring in different sleeping postures.