Respiration symptoms monitoring in body area networks

Lu  Liu; Syed Shah; Guoqing  Zhao; Xiaodong  Yang

doi:10.3390/app8040568

Respiration symptoms monitoring in body area networks

Lu Liu , Syed Shah, Guoqing Zhao , Xiaodong Yang

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

8 Downloads (Pure)

Abstract

This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed framework detects and monitors respiratory condition using S-Band sensing technique that leverages the wireless devices such as antenna, card, omni-directional antenna operating in 2 GHz to 4 GHz frequency range, and wireless channel information extraction tool. The rhythmic patterns extracted using S-Band sensing present the periodic and non-periodic waveforms that correspond to normal and abnormal respiratory conditions, respectively. The fine-grained amplitude information obtained using aforementioned devices is used to examine the breathing pattern over a period of time and accurately identifies the particular condition.

Original language	English
Article number	568
Number of pages	11
Journal	Applied Sciences (Switzerland)
Volume	8
Issue number	4
DOIs	https://doi.org/10.3390/app8040568
Publication status	Published - 6 Apr 2018
Externally published	Yes

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

S-Band sensing
wireless channel information
hyperthyreosis/sleep apnea disease monitoring

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10.3390/app8040568Licence: CC BY

PublishedFinal published version, 21 MBLicence: CC BY

Cite this

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title = "Respiration symptoms monitoring in body area networks",

abstract = "This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed framework detects and monitors respiratory condition using S-Band sensing technique that leverages the wireless devices such as antenna, card, omni-directional antenna operating in 2 GHz to 4 GHz frequency range, and wireless channel information extraction tool. The rhythmic patterns extracted using S-Band sensing present the periodic and non-periodic waveforms that correspond to normal and abnormal respiratory conditions, respectively. The fine-grained amplitude information obtained using aforementioned devices is used to examine the breathing pattern over a period of time and accurately identifies the particular condition.",

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T1 - Respiration symptoms monitoring in body area networks

AU - Liu , Lu

AU - Shah, Syed

AU - Zhao , Guoqing

AU - Yang, Xiaodong

N1 - This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2018/4/6

Y1 - 2018/4/6

N2 - This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed framework detects and monitors respiratory condition using S-Band sensing technique that leverages the wireless devices such as antenna, card, omni-directional antenna operating in 2 GHz to 4 GHz frequency range, and wireless channel information extraction tool. The rhythmic patterns extracted using S-Band sensing present the periodic and non-periodic waveforms that correspond to normal and abnormal respiratory conditions, respectively. The fine-grained amplitude information obtained using aforementioned devices is used to examine the breathing pattern over a period of time and accurately identifies the particular condition.

AB - This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed framework detects and monitors respiratory condition using S-Band sensing technique that leverages the wireless devices such as antenna, card, omni-directional antenna operating in 2 GHz to 4 GHz frequency range, and wireless channel information extraction tool. The rhythmic patterns extracted using S-Band sensing present the periodic and non-periodic waveforms that correspond to normal and abnormal respiratory conditions, respectively. The fine-grained amplitude information obtained using aforementioned devices is used to examine the breathing pattern over a period of time and accurately identifies the particular condition.

KW - S-Band sensing

KW - wireless channel information

KW - hyperthyreosis/sleep apnea disease monitoring

U2 - 10.3390/app8040568

DO - 10.3390/app8040568

M3 - Article

VL - 8

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 4

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ER -

Respiration symptoms monitoring in body area networks

Abstract

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Keywords

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