A Real Time Ultra-Wideband Location System for Smart Healthcare

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.




References:
[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.