Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System

Kagome NAYA; Toshiaki MIYAZAKI; Peng LI

doi:10.1587/transinf.2020EDP7126

Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System

Kagome NAYA, Toshiaki MIYAZAKI, Peng LI

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In recent years, checking sleep quality has become essential from a healthcare perspective. In this paper, we propose a respiratory rate (RR) monitoring system that can be used in the bedroom without wearing any sensor devices directly. To develop the system, passive radio-frequency identification (RFID) tags are introduced and attached to a blanket, instead of attaching them to the human body. The received signal strength indicator (RSSI) and phase values of the passive RFID tags are continuously obtained using an RFID reader through antennas located at the bedside. The RSSI and phase values change depending on the respiration of the person wearing the blanket. Thus, we can estimate the RR using these values. After providing an overview of the proposed system, the RR estimation flow is explained in detail. The processing flow includes noise elimination and irregular breathing period estimation methods. The evaluation demonstrates that the proposed system can estimate the RR and respiratory status without considering the user's body posture, body type, gender, or change in the RR.

Publication: IEICE TRANSACTIONS on Information Vol.E104-D No.5 pp.762-771

Publication Date: 2021/05/01

Publicized: 2021/02/22

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2020EDP7126

Type of Manuscript: PAPER

Category: Biological Engineering

Authors

Kagome NAYA
  University of Aizu
Toshiaki MIYAZAKI
  University of Aizu
Peng LI
  University of Aizu

Keyword

passive radio-frequency identification (RFID), received signal strength indicator (RSSI), respiratory rate (RR), sleep monitoring

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Kagome NAYA, Toshiaki MIYAZAKI, Peng LI, "Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System" in IEICE TRANSACTIONS on Information, vol. E104-D, no. 5, pp. 762-771, May 2021, doi: 10.1587/transinf.2020EDP7126.
Abstract: In recent years, checking sleep quality has become essential from a healthcare perspective. In this paper, we propose a respiratory rate (RR) monitoring system that can be used in the bedroom without wearing any sensor devices directly. To develop the system, passive radio-frequency identification (RFID) tags are introduced and attached to a blanket, instead of attaching them to the human body. The received signal strength indicator (RSSI) and phase values of the passive RFID tags are continuously obtained using an RFID reader through antennas located at the bedside. The RSSI and phase values change depending on the respiration of the person wearing the blanket. Thus, we can estimate the RR using these values. After providing an overview of the proposed system, the RR estimation flow is explained in detail. The processing flow includes noise elimination and irregular breathing period estimation methods. The evaluation demonstrates that the proposed system can estimate the RR and respiratory status without considering the user's body posture, body type, gender, or change in the RR.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7126/_p

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@ARTICLE{e104-d_5_762,
author={Kagome NAYA, Toshiaki MIYAZAKI, Peng LI, },
journal={IEICE TRANSACTIONS on Information},
title={Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System},
year={2021},
volume={E104-D},
number={5},
pages={762-771},
abstract={In recent years, checking sleep quality has become essential from a healthcare perspective. In this paper, we propose a respiratory rate (RR) monitoring system that can be used in the bedroom without wearing any sensor devices directly. To develop the system, passive radio-frequency identification (RFID) tags are introduced and attached to a blanket, instead of attaching them to the human body. The received signal strength indicator (RSSI) and phase values of the passive RFID tags are continuously obtained using an RFID reader through antennas located at the bedside. The RSSI and phase values change depending on the respiration of the person wearing the blanket. Thus, we can estimate the RR using these values. After providing an overview of the proposed system, the RR estimation flow is explained in detail. The processing flow includes noise elimination and irregular breathing period estimation methods. The evaluation demonstrates that the proposed system can estimate the RR and respiratory status without considering the user's body posture, body type, gender, or change in the RR.},
keywords={},
doi={10.1587/transinf.2020EDP7126},
ISSN={1745-1361},
month={May},}

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TY - JOUR
TI - Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System
T2 - IEICE TRANSACTIONS on Information
SP - 762
EP - 771
AU - Kagome NAYA
AU - Toshiaki MIYAZAKI
AU - Peng LI
PY - 2021
DO - 10.1587/transinf.2020EDP7126
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2021
AB - In recent years, checking sleep quality has become essential from a healthcare perspective. In this paper, we propose a respiratory rate (RR) monitoring system that can be used in the bedroom without wearing any sensor devices directly. To develop the system, passive radio-frequency identification (RFID) tags are introduced and attached to a blanket, instead of attaching them to the human body. The received signal strength indicator (RSSI) and phase values of the passive RFID tags are continuously obtained using an RFID reader through antennas located at the bedside. The RSSI and phase values change depending on the respiration of the person wearing the blanket. Thus, we can estimate the RR using these values. After providing an overview of the proposed system, the RR estimation flow is explained in detail. The processing flow includes noise elimination and irregular breathing period estimation methods. The evaluation demonstrates that the proposed system can estimate the RR and respiratory status without considering the user's body posture, body type, gender, or change in the RR.
ER -