The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam beberapa tahun kebelakangan ini, memeriksa kualiti tidur menjadi penting dari perspektif penjagaan kesihatan. Dalam kertas kerja ini, kami mencadangkan sistem pemantauan kadar pernafasan (RR) yang boleh digunakan di dalam bilik tidur tanpa memakai sebarang peranti sensor secara langsung. Untuk membangunkan sistem, tag pengenalan frekuensi radio pasif (RFID) diperkenalkan dan dilekatkan pada selimut, bukannya melekatkannya pada tubuh manusia. Penunjuk kekuatan isyarat yang diterima (RSSI) dan nilai fasa tag RFID pasif diperoleh secara berterusan menggunakan pembaca RFID melalui antena yang terletak di sisi katil. Nilai RSSI dan fasa berubah bergantung pada pernafasan orang yang memakai selimut. Oleh itu, kita boleh menganggarkan RR menggunakan nilai ini. Selepas memberikan gambaran keseluruhan sistem yang dicadangkan, aliran anggaran RR diterangkan secara terperinci. Aliran pemprosesan termasuk kaedah penyingkiran hingar dan kaedah anggaran tempoh pernafasan yang tidak teratur. Penilaian menunjukkan bahawa sistem yang dicadangkan boleh menganggarkan RR dan status pernafasan tanpa mengambil kira postur badan, jenis badan, jantina, atau perubahan dalam RR pengguna.
Kagome NAYA
University of Aizu
Toshiaki MIYAZAKI
University of Aizu
Peng LI
University of Aizu
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
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
Salinan
@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},}
Salinan
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 -