Abstract
Vital signs, such as respiration and heartbeat, are useful for health monitoring because such signals provide important clues of medical conditions. Effective solutions are needed to provide contact-free, easy deployment, low-cost, and long-term vital sign monitoring. In this article, we present PhaseBeat to exploit channel state information, in particular, phase difference data to monitor breathing and heart rates with commodity WiFi devices. We provide a rigorous analysis of channel state information phase difference with respect to its stability and periodicity. Based on the analysis, we design and implement the PhaseBeat system with off-the-shelf WiFi devices and conduct an extensive experimental study to validate its performance. Our experimental results demonstrate the superior performance of PhaseBeat over existing approaches in various indoor environments.
- H. Abdelnasser, K. A. Harras, and M. Youssef. 2015. UbiBreathe: A ubiquitous non-invasive WiFi-based breathing estimator. In Proceedings of IEEE MobiHoc 2015. 277--286.Google Scholar
- F. Adib, H. Mao, Z. Kabelac, D. Katabi, and R. Miller. 2015. Smart homes that monitor breathing and heart rate. In Proceedings of ACM CHI 2015. 837--846.Google Scholar
- H. Aly and M. Youssef. 2016. Zephyr: Ubiquitous accurate multi-sensor fusion-based respiratory rate estimation using smartphones. In Proceedings of IEEE INFOCOM 2016. 1--9.Google Scholar
- O. Boric-Lubeke and V. M. Lubecke. 2002. Wireless house calls: Using communications technology for health care and monitoring. IEEE Microwave Magazine 3, 3 (2002), 43--48.Google Scholar
Cross Ref
- Chen Chen, Yan Chen, Yi Han, Hung-Quoc Lai, and K. J. Ray Liu. 2017. Achieving centimeter-accuracy indoor localization on WiFi platforms: A frequency hopping approach. IEEE Internet of Things Journal 4, 1 (Feb. 2017), 111--121.Google Scholar
Cross Ref
- A. Droitcour, O. Boric-Lubecke, and G. Kovacs. 2009. Signal-to-noise ratio in Doppler radar system for heart and respiratory rate measurements. IEEE Transactions on Microwave Theory and Techniques 57, 10 (Oct. 2009), 2498--2507.Google Scholar
- Xuan Du, Kun Yang, and Dongdai Zhou. 2018. MapSense: Mitigating inconsistent WiFi signals using signal patterns and pathway map for indoor positioning. IEEE Internet of Things Journal 5, 6 (Dec. 2018), 4652--4662.Google Scholar
- Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, and Fahim Kawsar. 2016. BodyScan: Enabling radio-based sensing on wearable devices for contactless activity and vital sign monitoring. In Proceedings of ACM MobiSys 2016. 97--110.Google Scholar
- J. Gjengset, J. Xiong, G. McPhillips, and K. Jamieson. 2014. Phaser: Enabling phased array signal processing on commodity WiFi access points. In Proceedings of ACM MobiCom 2014. 153--164.Google Scholar
- Yu Gu, Jinhai Zhan, Yusheng Ji, Jie Li, Fuji Ren, and Shangbing Gao. 2017. MoSense: An RF-based motion detection system via off-the-shelf WiFi devices. IEEE Internet of Things Journal 4, 6 (Dec. 2017), 2326--2341.Google Scholar
Cross Ref
- D. Halperin, W. J. Hu, A. Sheth, and D. Wetherall. 2010. Predictable 802.11 packet delivery from wireless channel measurements. In Proceedings of ACM SIGCOMM 2010. 159--170.Google Scholar
- Yuxiao Hou, Yanwen Wang, and Yuanqing Zheng. 2017. TagBreathe: Monitor breathing with commodity rfid systems. In Proceedings of IEEE ICDCS 2017. IEEE, Los Alamitos, CA, 404--413.Google Scholar
- C. Hunt and F. Hauck. 2006. Sudden infant death syndrome. Canadian Medical Association Journal 174, 13 (2006), 1309--1310.Google Scholar
- Zhenhua Jia, Musaab Alaziz, Xiang Chi, Richard E. Howard, Yanyong Zhang, Pei Zhang, Wade Trappe, Anand Sivasubramaniam, and Ning An. 2016. HB-Phone: A bed-mounted geophone-based heartbeat monitoring system. In Proceedings ACM/IEEE IPSN 2016. 1--12.Google Scholar
- Zhenhua Jia, Amelie Bonde, Sugang Li, Chenren Xu, Jingxian Wang, Yanyong Zhang, Richard E. Howard, and Pei Zhang. 2017. Monitoring a person’s heart rate and respiratory rate on a shared bed using geophones. In Proceedings of ACM SenSys 2017. 1--14.Google Scholar
- J. Liu, Y. Wang, Y. Chen, J. Yang, X. Chen, and J. Cheng. 2015. Tracking vital signs during sleep leveraging off-the-shelf WiFi. In Proceedings of ACM MobiHoc 2015. 267--276.Google Scholar
- S. Mao, X. Wang, and L. Gao. 2016. BiLoc: Bi-modal deep learning for indoor localization with commodity 5GHz WiFi. US Provisional Patent Application, Application Number: 62/338,737.Google Scholar
- M. L. R. Mogue and B. Rantala. 1988. Capnometers. Journal of Clinical Monitoring 4, 2 (1988), 115--121.Google Scholar
- Rajalakshmi Nandakumar, Shyamnath Gollakota, and Jacob E. Sunshine. 2019. Opioid overdose detection using smartphones. Science Translational Medicine 11, 474 (2019), 1--10.Google Scholar
- Rajalakshmi Nandakumar, Shyamnath Gollakota, and Nathaniel Watson. 2015. Contactless sleep apnea detection on smartphones. In Proceedings of ACM MobiSys 2015. 45--57.Google Scholar
Digital Library
- Phuc Nguyen, Xinyu Zhang, Ann Halbower, and Tam Vu. 2016. Continuous and fine-grained breathing volume monitoring from afar using wireless signals. In Proceedings of IEEE INFOCOM 2016.Google Scholar
- Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, and Zimu Zhou. 2014. PADS: Passive detection of moving targets with dynamic speed using PHY layer information. In Proceedings of IEEE ICPADS 2014. 1--8.Google Scholar
- B. D. Rao and K. V. S. Hari. 1989. Performance analysis of root-music. IEEE Transactions on Acoustics Speech and Signal Processing 37, 12 (Dec. 1989), 1939--1949.Google Scholar
Cross Ref
- Y. Ren, C. Wang, J. Yang, and Y. Chen. 2015. Fine-grained sleep monitoring: Hearing your breathing with smartphones. In Proceedings of IEEE INFOCOM 2015. 1194--1202.Google Scholar
- J. Salmi and A. F. Molisch. 2011. Propagation parameter estimation, modeling and measurements for ultrawideband MIMO radar. IEEE Transactions on Antennas and Propagation 59, 11 (Nov. 2011), 4257--4267.Google Scholar
- S. Sardy, P. Tseng, and A. Brace. 2001. Robust wavelet denoising. IEEE Transactions on Signal Processing 49, 6 (Jun. 2001), 1146--1152.Google Scholar
- C. G. Scully, J. Lee, J. Meyer, A. M. Gorbach, D. Granquist-Fraser, Y. Mendelson, and K. H. Chon. 2010. Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Transactions on Biomedical Engineering 59, 2 (Feb. 2010), 303--306.Google Scholar
- N. H. Shariati and E. Zahedi. 2005. Comparison of selected parametric models for analysis of the photoplethysmographic signal. In Proceedings of the 1st IEEE International Conference on Computers, Communications, and Signal Processing with Special Track on Biomedical Engineering. 169--172.Google Scholar
- M. Speth, S. Fechtel, G. Fock, and H. Meyr. 1999. Optimum receiver design for wireless broad-band systems using OFDM--Part I. IEEE Transactions on Communications 47, 11 (Nov. 1999), 1668--1677.Google Scholar
Cross Ref
- X. Wang, L. Gao, and S. Mao. 2015. PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach. In Proceedings of IEEE GLOBECOM 2015. 1--6.Google Scholar
- X. Wang, L. Gao, and S. Mao. 2016. CSI phase fingerprinting for indoor localization with a deep learning approach. IEEE Internet of Things Journal 3, 6 (Dec. 2016), 1113--1123. DOI:https://doi.org/10.1109/JIOT.2016.2558659Google Scholar
Cross Ref
- X. Wang, R. Huang, and S. Mao. 2017a. Demo abstract: SonarBeat: Sonar phase for breathing beat monitoring with smartphones. In Proceedings of IEEE SECON 2017. 1--2.Google Scholar
- X. Wang, R. Huang, and S. Mao. 2017b. SonarBeat: Sonar phase for breathing beat monitoring with smartphones. In Proceedings of ICCCN 2017. 1--8.Google Scholar
- X. Wang, X. Wang, and S. Mao. 2017c. CiFi: Deep convolutional neural networks for indoor localization with 5GHz Wi-Fi. In Proceedings of IEEE ICC 2017. 1--6.Google Scholar
- X. Wang, C. Yang, and S. Mao. 2017d. PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices. In Proceedings of IEEE ICDCS 2017. 1230--1239.Google Scholar
- X. Wang, C. Yang, and S. Mao. 2017e. TensorBeat: Tensor decomposition for monitoring multi-person breathing beats with commodity WiFi. ACM Transactions on Intelligent Systems and Technology 9, 1 (Sept. 2017), Article 8, 27 pages. DOI:https://doi.org/10.1145/3078855Google Scholar
Digital Library
- Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, and Mingyan Liu. 2015. PhaseU: Real-time LOS identification with WiFi. In Proceedings of IEEE INFOCOM 2015. 2038--2046.Google Scholar
- Y. Xie, Z. Li, and M. Li. 2015. Precise power delay profiling with commodity WiFi. In Proceedings of ACM MobiCom 2015. 53--64.Google Scholar
- J. Xiong and K. Jamieson. 2013. ArrayTrack: A fine-grained indoor location system. In Proceedings of ACM NSDI 2013. 71--84.Google Scholar
- Qinyi Xu, Yi Han, Beibei Wang, Min Wu, and K. J. Ray Liu. 2019. Indoor events monitoring using channel state information time series. IEEE Internet of Things Journal 6, 3 (June 2019), 4977--4990.Google Scholar
- C. Yang, X. Wang, and S. Mao. 2018a. AutoTag: Recurrent vibrational autoencoder for unsupervised apnea detection with RFID tags. In Proceedings of IEEE GLOBECOM 2018. 1--6.Google Scholar
- C. Yang, X. Wang, and S. Mao. 2019. RFID-based driving fatigue detection. In Proceedings of IEEE GLOBECOM 2019. 1--6.Google Scholar
- Jianfei Yang, Han Zou, Hao Jiang, and Lihua Xie. 2018b. Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes. IEEE Internet of Things Journal 5, 5 (Oct. 2018), 3991--4002.Google Scholar
- Z. Yang, P. Pathak, Y. Zeng, X. Liran, and P. Mohapatra. 2016. Monitoring vital signs using millimeter wave. In Proceedings of IEEE MobiHoc 2016.Google Scholar
- Z. Yang, Z. Zhou, and Y. Liu. 2013. From RSSI to CSI: Indoor localization via channel response. ACM Computing Surveys 46, 2 (Nov. 2013), Article 25.Google Scholar
Digital Library
- Dongheng Zhang, Yang Hu, Yan Chen, and Bing Zeng. 2019. BreathTrack: Tracking indoor human breath status via commodity WiFi. IEEE Internet of Things Journal 6, 2 (April 2019), 3899--3911.Google Scholar
Index Terms
On CSI-Based Vital Sign Monitoring Using Commodity WiFi
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