An RF-based wearable sensor system for indoor tracking to facilitate efficient healthcare management

To understand the utilization of clinical resources and improve the efficiency of healthcare, it is often necessary to accurately locate patients and doctors in a healthcare facility. However, existing tracking methods, such as GPS, Wi-Fi and RFID, have technological drawbacks or impose significant costs, thus limiting their applications in many clinical environments, especially those with indoor enclosures. This paper proposes a low-cost and flexible tracking system that is well suited for operating in an indoor environment. Based on readily available RF transceivers and microcontrollers, our wearable sensor system can facilitate locating users (e.g., patients or doctors) or objects (e.g., medical devices) in a building. The strategic construction of the sensor system, along with a suitably designed tracking algorithm, together provide for reliability and dispatch in localization performance. For demonstration purposes, several simplified experiments, with different configurations of the system, are implemented in two testing rooms to assess the baseline performance. From the obtained results, our system exhibits immense promise in acquiring a user location and corresponding time-stamp, with high accuracy and rapid response. This capability is conducive to both short- and long-term data analytics, which are crucial for improving healthcare management.

[1]  Kaushik Bhuiya,et al.  Low cost wireless control and monitoring using PLC and SCADA , 2013 .

[2]  Gennady L. Andrienko,et al.  Using Bluetooth to track mobility patterns: depicting its potential based on various case studies , 2013, ISA '13.

[3]  Ingrid Moerman,et al.  Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium , 2014 .

[4]  Xiang Yu,et al.  SCaNME: Location tracking system in large-scale campus Wi-Fi environment using unlabeled mobility map , 2014, Expert Syst. Appl..

[5]  Saleh Alghamdi,et al.  Indoor navigational aid using active RFID and QR-code for sighted and blind people , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[6]  Evan M. Berman,et al.  Human Resource Management in Public Service: Paradoxes, Processes, and Problems , 2000 .

[7]  K Parodi,et al.  Ultrasound tracking for intra-fractional motion compensation in radiation therapy. , 2014, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[8]  Xiaoli Wang,et al.  Mobility tracking using GPS, Wi-Fi and Cell ID , 2012, The International Conference on Information Network 2012.

[9]  Fadhel M. Ghannouchi,et al.  RF Transceiver Design for MIMO Wireless Communications , 2012, Lecture Notes in Electrical Engineering.

[10]  Mathieu Cunche,et al.  Large Scale Wi-Fi tracking using a Botnet of Wireless Routers , 2015 .

[11]  José Higino Correia,et al.  RF CMOS transceiver at 2.4 GHz in wearables for measuring the cardio-respiratory function , 2011 .

[12]  Wei Xi,et al.  Device-Free Object Tracking Using Passive Tags , 2014, SpringerBriefs in Electrical and Computer Engineering.

[13]  Minyi Guo,et al.  Real-Time Locating Systems Using Active RFID for Internet of Things , 2016, IEEE Systems Journal.

[14]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[15]  Basile Chaix,et al.  GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference? , 2013, Health & place.

[16]  D. Edwards,et al.  Understanding tourists’ spatial behaviour: GPS tracking as an aid to sustainable destination management , 2013 .

[17]  Wenyan Wu,et al.  Efficient Object Localization Using Sparsely Distributed Passive RFID Tags , 2013, IEEE Transactions on Industrial Electronics.