Passive RFID for object and use detection during trauma resuscitation

Document Type

Journal Article

Publication Date

4-1-2016

Journal

IEEE Transactions on Mobile Computing

Volume

15

Issue

4

DOI

10.1109/TMC.2015.2436393

Keywords

activity recognition; emergency medicine; Machine learning; medical information systems; medicine and science; object-based sensing; sensors - -RFID; trauma resuscitation

Abstract

© 2016 IEEE. We evaluated passive radio-frequency identification (RFID) technology for detecting the use of objects and related activities during trauma resuscitation. Our system consists of RFID tags and antennas, optimally placed for object detection, as well as algorithms for processing RFID data to infer object use. To evaluate our approach, we tagged 81 objects in the resuscitation room and recorded RFID signal strength during 32 simulated resuscitations performed by trauma teams. We then analyzed RFID data to identify cues for recognizing resuscitation activities. Using these cues, we extracted descriptive features and applied machine-learning techniques to monitor interactions with objects. Our results show that an instance of a used object can be detected with accuracy rates greater than 90 percent in a crowded and fast-paced medical setting using off-the-shelf RFID equipment, and the time and duration of use can be identified with up to 83 percent accuracy. We conclude with insights into the limitations of passive RFID and areas in which RFID needs to be complemented with other sensing technologies.

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