Real-Time Detection of Apnea via Signal Processing of Time-Series Properties of RFID-Based Smart Garments
Published in IEEE Signal Processing in Medicine and Biology (SPMB), 2016
Recommended citation: William M. Mongan, Ilhaan Rasheed, Khyati Ved, Ariana Levitt, Endla Anday, Kapil Dandekar, Genevieve Dion, Timothy Kurzweg, and Adam Fontecchio. Real-Time Detection of Apnea via Signal Processing of Time-Series Properties of RFID-Based Smart Garments. IEEE Signal Processing in Medicine and Biology (SPMB), December, 2016. https://ieeexplore.ieee.org/abstract/document/7846871
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bibtex
@INPROCEEDINGS{7846871,
author={W. M. Mongan and I. Rasheed and K. Ved and A. Levitt and E. Anday and K. Dandekar and G. Dion and T. Kurzweg and A. Fontecchio},
booktitle={2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)},
title={Real-time detection of apnea via signal processing of time-series properties of RFID-based smart garments},
year={2016},
volume={},
number={},
pages={1-6},
keywords={biomedical equipment;medical disorders;medical signal detection;medical signal processing;pneumodynamics;radiofrequency identification;signal classification;sleep;time series;wearable antennas;real-time apnea detection;signal processing;time-series properties;RFID-based smart garments;radiofrequency identification;textile knitted antennas;garment devices;motion-based artifacts;unobtrusive devices;wearable devices;wireless devices;received signal strength indicator;time-series signal;programmable breathing infant mannequin;respiratory activity;Radiofrequency identification;Monitoring;Antennas;Support vector machines;Biomedical monitoring;Sleep apnea;Real-time systems},
doi={10.1109/SPMB.2016.7846871},
ISSN={},
month={Dec},}