A Multi-Disciplinary Framework for Continuous Biomedical Monitoring Using Low-Power Passive RFID-based Wireless Wearable Sensors
Published in Proceedings of the IEEE Smart Systems Workshop, 2016
Recommended citation: William Mongan, Endla Anday, Genevieve Dion, Adam Fontecchio, Tim Kurzweg, Kelly Joyce, Yuqiao Liu, Owen Montgomery, Ilhaan Rasheed, Cem Sahin, Shrenik Vora, and Kapil Dandekar. A Multi-Disciplinary Framework for Continuous Biomedical Monitoring Using Low-Power Passive RFID-based Wireless Wearable Sensors. Proceedings of the IEEE Smart Systems Workshop, May, 2016. https://ieeexplore.ieee.org/document/7501674
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bibtex
@INPROCEEDINGS{7501674,
author={W. {Mongan} and E. {Anday} and G. {Dion} and A. {Fontecchio} and K. {Joyce} and T. {Kurzweg} and Y. {Liu} and O. {Montgomery} and I. {Rasheed} and C. {Sahin} and S. {Vora} and K. {Dandekar}},
booktitle={2016 IEEE International Conference on Smart Computing (SMARTCOMP)},
title={A Multi-Disciplinary Framework for Continuous Biomedical Monitoring Using Low-Power Passive RFID-Based Wireless Wearable Sensors},
year={2016},
volume={},
number={},
pages={1-6},
keywords={biosensors;intelligent sensors;patient monitoring;radiofrequency identification;wearable antennas;wireless sensor networks;multidisciplinary framework;continuous biomedical monitoring;low-power passive RFID-based wireless wearable sensors;radio frequency identification;knit fabric strain gauge assembly;conductive thread;fabric antenna;powerless smart-garment device;RFID technology;RFID biosensors;biofeedback monitoring;antenna modeling;signal processing;machine learning;noisy wireless signal;HIPAA-compliant data storage;electronic health records systems;Radiofrequency identification;Monitoring;Biomedical monitoring;Clothing;Fabrics;Biosensors},
doi={10.1109/SMARTCOMP.2016.7501674},
ISSN={null},
month={May},}