scholarly journals Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1607
Author(s):  
JeeEun Lee ◽  
Sun K. Yoo

Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respiration measurements. The radar sensor had a high precision and could even be used in the dark. It could also be used continuously regardless of time and place. The radar sensor relied on the periodicity of respiration to detect the respiration rate. A respiration adaptive interval was set and the respiration rate was detected through harmonic quefrency selection. As a result, it was confirmed that there was no difference between the respiratory rate measured using a respiration belt and the respiratory rate detected using a radar sensor. Furthermore, case studies on changes in the radar position and about measurement for long periods confirmed that the radar sensor could detect respiration rate continuously regardless of the position and measurement duration.

2013 ◽  
Vol 652-654 ◽  
pp. 2153-2158
Author(s):  
Wu Ji Jiang ◽  
Jing Wei

Controlling the tooth errors induced by the variation of diameter of grinding wheel is the key problem in the process of ZC1 worm grinding. In this paper, the influence of tooth errors by d1, m and z1 as the grinding wheel diameter changes are analyzed based on the mathematical model of the grinding process. A new mathematical model and truing principle for the grinding wheel of ZC1 worm is presented. The shape grinding wheel truing of ZC1 worm is carried out according to the model. The validity and feasibility of the mathematical model is proved by case studies. The mathematical model presented in this paper provides a new method for reducing the tooth errors of ZC1 worm and it can meet the high-performance and high-precision requirements of ZC1 worm grinding.


2013 ◽  
Vol 61 (5) ◽  
pp. 2093-2100 ◽  
Author(s):  
Gabor Vinci ◽  
Stefan Lindner ◽  
Francesco Barbon ◽  
Sebastian Mann ◽  
Maximilian Hofmann ◽  
...  

2011 ◽  
Vol 71-78 ◽  
pp. 4138-4141
Author(s):  
Wen Cheng Jin ◽  
Juan Wan ◽  
Qing Rong Ding ◽  
Chang Dong Zhou

Continuous optical fiber sensing technique has the advantages of continuous measurement, corrosion preventing, anti-electromagnetic interference and high precision. This paper integrates continuous optical fiber into smart structure system. It combines the advantages of continuous optical fibers with self-adapting function of smart structures. It may have wide uses in engineering. But it is developing. It has some key technologies to be solved, such as the manufacture and embedment technique of special optical fibers, optimized arrangements of fibers, smart identification of the signal, analysis processing for enormous data and realization of self-adapting function.


2013 ◽  
Vol 91 (2) ◽  
pp. 179-192 ◽  
Author(s):  
Daisuke GOTO ◽  
Shinji MORIMOTO ◽  
Shigeyuki ISHIDOYA ◽  
Akinori OGI ◽  
Shuji AOKI ◽  
...  

Author(s):  
Nurul Qashri Mahardika T ◽  
Erfansyah Ali ◽  
Fiky Yosef Suratman

Sleep apnea is a sleep disorder that has a relation with respiratory system during sleep. One of the sleep apnea characteristic is suddenly stop breathing during sleep. People have the different of respiratory rate (RR) which is affected by sleep positions and body mass index (BMI).There are four sleep positions affecting the respiratory rate (RR). Polysomnography (PSG) is conventionally used to analysis the sleep apnea. This technique requires body contact that might be uncomfortable for the patient. In this study, the Xethru X4M200 radar sensor is proposed as non-contact tool to detect the RR by implementing the Doppler effect. Furthermore, the relation between RR with the sleep position and the BMI are discused. For that purpose, 20 participants (10 males and 10 females) with dierent BMIs and sleep positions are examined by monitoring their chest movement. This method is able to detect the indication of bradypnoea or tachypnoea. Futher systematic study and more participants are required to confirm our results and provide better non-contact technique for RR measurement.


Author(s):  
Sarah Aghnia Miyagi ◽  
Muhammad Ridha Mak’ruf ◽  
Endang Dian Setioningsih ◽  
Tark Das

Respiration rate is an important physiological parameter that helps to provide important information about the patient's health status, especially from the human respiratory system. So it is necessary to measure the human respiratory rate by calculating the number of respiratory frequencies within 1 minute. The respiratory rate meter is a tool used to calculate the respiratory rate by counting the number of breaths for 1 minute. The author makes a tool to detect human respiratory rate by using a sensor that detects the ascend and descend of the chest cavity based on a microcontroller so that the operator can measure the breathing rate more practically and accurately. Component tool contains analog signal conditioning circuit and microcontroller circuit accompanied by display in the form of LCD TFT. The results of measurement data on 10 respondents obtained an average error value, namely the position of the right chest cavity 6.6%, middle chest cavity 7.92%, and left chest cavity 6.85%. This value is still below the error tolerance limit of 10%. It can be concluded that to obtain the best measurement results, the sensor is placed in the position of the right chest cavity.


2013 ◽  
Vol 25 (04) ◽  
pp. 1350041 ◽  
Author(s):  
Yue-Der Lin ◽  
Hu-Ying Ho ◽  
Ching-Che Tsai ◽  
Shih-Fan Wang ◽  
Kang-Ping Lin ◽  
...  

Photoplethysmography (PPG) is a technique based on photonics related to the volumetric changes in blood vessels during circulation. PPG has been widely applied in monitoring respiration, hypervolemia and other circulatory diseases. The smartphone becomes more popular nowadays. As the smartphone is usually equipped with light-emitting diode (LED) and camera, the imaging function in smartphone is proposed for PPG signal detection. An algorithm termed as the autoregressive (AR) decomposition is presented to extract the respiratory rate and pulse rate of the subject buried in the PPG measurement. The extracted information is verified by those derived from commercial equipments and the derived results agree well. The proposed algorithm is not complex and can be implemented in a smartphone as an application program. For its convenience in usage, the proposed strategy may be potential in telemedicine, preventive medicine and home care usage.


1985 ◽  
Vol 31 (10) ◽  
pp. 896-899 ◽  
Author(s):  
I. Cacciari ◽  
D. Lippi ◽  
S. Ippoliti ◽  
T. Pietrosanti ◽  
W. Pietrosanti

The effect of a sudden imposition of either oxygen limitation or over oxygenation on an Arthrobacter sp. ammonium-limited chemostat culture was studied at growth rate of 0.03 h−1. Growth and respiratory activity of the cultures were examined during the transition periods and at both steady-states. Arthrobacter fluorescens responded to oxygen limitation by increasing respiratory rate and degrading polysaccharide content. In contrast, an increase in dissolved oxygen concentration caused a decrease in respiration rate and an increase in biosynthesis of endogenous polysaccharides. Under both conditions an inverse relationship seemed to occur between respiration rate and yield coefficients.


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