Passive UHF RFID-based real-time intravenous fluid level sensor

Ultra high frequency (UHF) passive radio frequency identification (RFID) tag-based sensors are proposed for intravenous (IV) fluid level monitoring in medical Internet of Things (IoT) applications. Two versions of the sensor are proposed: a binary sensor ( i.e ., full vs . empty state sensing) and a...

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Bibliographic Details
Published in:IEEE sensors journal 2024-02, Vol.24 (3), p.1-1
Main Authors: Tajin, Md Abu Saleh, Hossain, Md Shakir, Mongan, William M., Dandekar, Kapil R.
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Containers
Fluid level sensor
Intelligent sensors
Internet of medical things
Interrogation
IoT (Internet of Things)
Liquids
machine learning
Monitoring
passive sensor
Radio frequency identification
Real time
Real-time systems
RFID (Radio Frequency Identification)
Sensors
smart transfusion
Ultrahigh frequencies
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Summary:Ultra high frequency (UHF) passive radio frequency identification (RFID) tag-based sensors are proposed for intravenous (IV) fluid level monitoring in medical Internet of Things (IoT) applications. Two versions of the sensor are proposed: a binary sensor ( i.e ., full vs . empty state sensing) and a real-time ( i.e ., continuous level) sensor. The operating principle is demonstrated using full-wave electromagnetic simulation at 910 MHz and validated with experimental results. Generalized Additive Model (GAM) and random forest algorithms are employed for each interrogation dataset. Real-time sensing is accomplished with small deviations across the models. A minimum of 72% and a maximum of 97% of cases are within a 20% error for the GAM model and 62% to 98% for the random forest model. The proposed sensor is battery-free, lightweight, low-cost, and highly reliable. The read range of the proposed sensor is 4.6 m.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3342129