A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Using RFID technologies to capture simulation data in a hospital emergency department
Proceedings of the 38th conference on Winter simulation
A pervasive computing system for the operating room of the future
Mobile Networks and Applications
Identifying RFID-embedded objects in pervasive healthcare applications
Decision Support Systems
Probabilistic Event Extraction from RFID Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Fuzzy logic based smart Anaesthesia monitoring system in the operation theatre
WSEAS Transactions on Circuits and Systems
Patient Safety Through RFID: Vulnerabilities in Recently Proposed Grouping Protocols
Journal of Medical Systems
Journal of Medical Systems
ECC-Based Grouping-Proof RFID for Inpatient Medication Safety
Journal of Medical Systems
The Adoption and Implementation of RFID Technologies in Healthcare: A Literature Review
Journal of Medical Systems
RFID-Enabled Healthcare Applications, Issues and Benefits: An Archival Analysis (1997---2011)
Journal of Medical Systems
On the Designing of a Tamper Resistant Prescription RFID Access Control System
Journal of Medical Systems
Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia
Computers in Biology and Medicine
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This study is motivated by the observations on the data collected by radio frequency identification (RFID) readers in a pilot study, which was used to investigate the feasibility of implementing an RFID-based monitoring system in an outpatient eye clinic. The raw RFID data collected from RFID readers contain noise and missing reads, which prevent us from determining the tag location. In this paper, fuzzy logic-based algorithms are proposed to interpret the raw RFID data to extract accurate information. The proposed algorithms determine the location of an RFID tag by evaluating its possibility of presence and absence. To evaluate the performance of the proposed algorithms, numerical experiments are conducted using the data observed in the outpatient eye clinic. Experiments results showed that the proposed algorithms outperform existing static smoothing method in terms of minimizing both false positives and false negatives. Furthermore, the proposed algorithms are applied to a set of simulated data to show the robustness of the proposed algorithms at various levels of RFID reader reliability.