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A Real Time Ultra-Wideband Location System for Smart Healthcare

Authors: Lei Yang, Guozheng Yan, Mingyang Sun, Dasheng Liu


Driven by the demand of intelligent monitoring in rehabilitation centers or hospitals, a high accuracy real-time location system based on UWB (ultra-wideband) technology was proposed. The system measures precise location of a specific person, traces his movement and visualizes his trajectory on the screen for doctors or administrators. Therefore, doctors could view the position of the patient at any time and find them immediately and exactly when something emergent happens. In our design process, different algorithms were discussed, and their errors were analyzed. In addition, we discussed about a , simple but effective way of correcting the antenna delay error, which turned out to be effective. By choosing the best algorithm and correcting errors with corresponding methods, the system attained a good accuracy. Experiments indicated that the ranging error of the system is lower than 7 cm, the locating error is lower than 20 cm, and the refresh rate exceeds 5 times per second. In future works, by embedding the system in wearable IoT (Internet of Things) devices, it could provide not only physical parameters, but also the activity status of the patient, which would help doctors a lot in performing healthcare.

Keywords: Smart Healthcare, Intelligent Monitoring, ultra-wideband technology, IoT devices, real-time location

Digital Object Identifier (DOI):

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[1] P. J. Soh, G. A. E. Vandenbosch, M. Mercuri and D. M. M. -. Schreurs, "Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends," in IEEE Microwave Magazine, vol. 16, no. 4, pp. 55-70, May 2015.
[2] HU Xiao-hai, WANG Zhi-wu, YAN Guo-zheng. “Design of monitoring system with multi-parameter measurement based on ZigBee network” Beijing Biomedical Engineering, vol. 34, no. 1, pp. 64-67, 2015.
[3] Z. Lin et al., "A low-power, wireless, real-time, wearable healthcare system," 2016 IEEE MTT-S International Wireless Symposium (IWS), Shanghai, 2016, pp. 1-4.
[4] XI Rui, LI Yu-jun, HOU Meng-shu. “Survey on Indoor Localization.” Computer Science, vol. 43, no. 4, pp. 1-6, 2016.
[5] Want R, Hopper A, Falcao V, et al. “The Active Badge Location System” ACM Transactions on Information Systems, vol. 10, no. 1, Jan, 1992, pp. 91-102
[6] Ni L M, Liu Y, Lau Y C, et al. “LANDMARK: Indoor Location Sensing Using Active RFID”, Wireless Networks, vol. 10, no. 6, pp. 701-710, 2014.
[7] WANG Yi-jian. “Research and Implementation on Key Technologies of Bluetooth Indoor Positioning”, Southeast University, 2015
[8] LU Yan, LI Yong-jun. “Research on Indoor Positioning Technology Based on Bluetooth Low Energy”, Measurement & Control Technology, vol. 37, no. 4, pp. 55-57, 2018.
[9] Suining He, S.-H. Gary Chan. “Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons”, IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 466-490, 2016.
[10] Q. Chen, H. Liu, M. Yu and H. Guo, "RSSI ranging model and 3D indoor positioning with ZigBee network," Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium, Myrtle Beach, SC, 2012, pp. 1233-1239.
[11] HOU Qi-zhen, SHI Bing-yin, LIU Yan-fan. “On RSSI-based ZigBee”, Localisation Technology, vol. 33, no. 4, 2016, pp. 134~137.
[12] D. D. McCrady, L. Doyle, H. Forstrom, T. Dempsey and M. Martorana, "Mobile ranging using low-accuracy clocks," in IEEE Transactions on Microwave Theory and Techniques, vol. 48, no. 6, pp. 951-958, June 2000.
[13] Andre G, Christian H. “Measuring round trip times to determine the distance between WLAN nodes”, Pontifical Institute of Mediaeval Studies, vol. 25, no. 8, 2000, pp. 1913-1923.
[14] Liu Ying, Wang Shu-xun, Song Chun-pu. “Location algorithm and error analysis about mobile terminal”, Systems Engineering and Electronics, vol. 7, 2001, pp. 98-102.