RF-RES: Respiration Monitoring With COTS RFID Tags by Dopplershift

Zhang, Jintao; Yu, Jiguo; Ma, Yongtao; Liang, Xiuyan

doi:10.1109/jsen.2021.3114091

Cited by 13 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To achieve accurate noncontact physiological measurements in the presence of these body movements, various techniques and systems have been proposed [13]. These approaches include a DC offset calibration method [14], a self-injection-locked architecture [15], a multi-channel Kalman smoother [16], a frequency-locked loop radar system [17], and a body movement cancelation technique using two radar systems on the front and rear sides of the target body [18]. Despite these efforts, the effects of body movements are still problematic, particularly when measuring a small animal such as a rhesus monkey that makes frequent movements.…”

Section: Introductionmentioning

confidence: 99%

Radar-Based Respiratory Measurement of a Rhesus Monkey by Suppressing Nonperiodic Body Motion Components

Sakamoto,

Sanematsu,

Iwata

et al. 2023

IEEE Sens. Lett.

View full text Add to dashboard Cite

We propose a method to measure the respiration of a rhesus monkey using a millimeter-wave radar system with an antenna array. Unlike humans, small animals are generally restless and hyperactive in nature, and suppression of their body motion components is therefore necessary to realize accurate respiratory measurements. The proposed method detects and suppresses nonperiodic body motion components while also combining and emphasizing the periodic components from multiple echoes acquired from the target. Results indicate that the proposed method can measure the respiration rate of the target monkey accurately, even with frequent body movements.

show abstract

Section: Introductionmentioning

confidence: 99%

Radar-Based Respiratory Measurement of a Rhesus Monkey by Suppressing Nonperiodic Body Motion Components

Sakamoto,

Sanematsu,

Iwata

et al. 2023

IEEE Sens. Lett.

View full text Add to dashboard Cite

show abstract

“…Especially for achieving safety and security for smart homes, IoT devices can do many things, including earthquake-caused disaster prevention [ 10 , 11 , 12 , 13 ]. However, due to issues with the battery life and the manufacturing costs of IoT devices, they need to overcome a series of challenges to respond to these new requirements [ 14 , 15 , 16 , 17 , 18 , 19 ]. Ultrahigh-frequency (UHF)-band radiofrequency identification (RFID) provides thin and small form factors, lower costs, and batteryless wireless capabilities.…”

Section: Introductionmentioning

confidence: 99%

A Feasibility Study on Monitoring Earthquake-Caused Furniture Vibrations Using Radiofrequency Identification Sensor Tags

Song

Rahmadya

Sun

et al. 2023

Sensors

View full text Add to dashboard Cite

This paper presents a feasibility study on monitoring earthquake-caused furniture vibrations using radiofrequency identification (RFID) sensor tags. Finding unstable objects by exploiting the vibrations caused by weaker earthquakes is effective as one of the potential countermeasures for large-scale earthquakes in earthquake-prone areas. For this purpose, a previously proposed ultrahigh-frequency (UHF)-band RFID-based batteryless vibration/physical shock sensing system enabled long-term monitoring. This RFID sensor system introduced standby and active modes for long-term monitoring. This system enabled lower-cost wireless vibration measurements without affecting the vibration of furniture because the RFID-based sensor tags provide lightweight, low-cost, and battery-free operations. This RFID sensor system observed earthquake-cased furniture vibrations in a room on the fourth floor of a building eight stories high at Ibaraki University, Hitachi, Ibaraki, Japan. The observation results revealed that the RFID sensor tags identified the vibrations of furniture caused by earthquakes. The RFID sensor system also observed the vibration duration times of the objects in a room and specified the most unstable reference object. Hence, the proposed vibration sensing system helped achieve safe living in indoor environments.

show abstract

MXene-based wearable thermoelectric respiration sensor

Zhang,

Zong,

et al. 2023

Nano Energy

View full text Add to dashboard Cite

RF-RES: Respiration Monitoring With COTS RFID Tags by Dopplershift

Cited by 13 publications

References 32 publications

Radar-Based Respiratory Measurement of a Rhesus Monkey by Suppressing Nonperiodic Body Motion Components

Radar-Based Respiratory Measurement of a Rhesus Monkey by Suppressing Nonperiodic Body Motion Components

A Feasibility Study on Monitoring Earthquake-Caused Furniture Vibrations Using Radiofrequency Identification Sensor Tags

MXene-based wearable thermoelectric respiration sensor

Contact Info

Product

Resources

About