Contact-free measurement of respiratory rate using infrared and vibration sensors

Erden, Fatih; Alkar, Ali Ziya; Çetin, A. Enis

doi:10.1016/j.infrared.2015.09.005

Cited by 18 publications

(16 citation statements)

References 20 publications

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“…We compared the error to that of produced by autocorrelation function (ACF) maximization, Fourier transform (FT), local extrema detection (LED), and the average magnitude difference function (AMDF) method [16]. Results are presented in Table I.…”

Section: Experiments and Resultsmentioning

confidence: 99%

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Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement

Erden

Çetin

2017

IEEE Signal Process. Lett.

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Section: Experiments and Resultsmentioning

confidence: 99%

“…In this letter, we present a noninvasive pyro-electric infrared (PIR) sensor array-based system. It is similar to the one previously developed in [16] with the difference that accelerometer is now replaced with an extra PIR sensor. Data received from the sensors are processed using the TDA method to estimate the RR.…”

Section: Introductionmentioning

confidence: 99%

Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement

Erden

Çetin

2017

IEEE Signal Process. Lett.

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“…In addition, when the number of signal sampling points exceeds 3600 points in a fixed fire state (a sampling frequency of 6 times per second and a signal duration of 600 seconds), the program will force the execution cycle extraction. The peak amplitude of AMDF will decrease with the increase of the lag time [11]. Therefore, this paper divides the AMDF value by the number of overlapping points to suppress this downward trend, and reciprocates the non-zero amplitude to convert the valley point to the peak value.…”

Section: Signal Period Detection Methods Based On Amdfmentioning

confidence: 99%

An Indirect Measurement Method for Gas Consumption of a Diaphragm Gas Meter Based on Gas Pressure Signal Detection

et al. 2019

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Featured Application: This indirect measurement method can be utilized to improve the remote meter reading technology for gas meter.Abstract: At present, the remote meter reading problem for a large number of existing domestic diaphragm gas meters has not been reliably solved. The diaphragm gas meter uses a physical structure to measure gas consumption, so the main problem of remote meter reading is the digitization of gas consumption. Although it is possible to digitize the consumption data by modifying the internal structure of the gas meter or adding sensors, thereby realizing the function of remote meter reading, the modification process is complicated, the modification cost is high, and manual meter reading can only be used for the existing diaphragm gas meters. For this reason, this paper proposes an indirect measurement method of gas consumption based on gas pressure signal detection. The method can digitalize the metering results of the mechanical diaphragm gas meter and develop a state detection function by analyzing the pressure signal of the outlet of the meter without modifying the internal structure of a meter, thus addressing the key difficulties in the construction of a gas meter remote meter reading system. The experimental results show that this method has small calculation error and high reliability.results can be adjusted according to temperature and pressure to improve the accuracy of measurement results. At present, there are a large number of traditional mechanical diaphragm gas meters in the user market, which makes it difficult to install and popularize intelligent gas management equipment.Scholars in China and abroad have put forward some intelligent management schemes for diaphragm gas meters, among which the transformation of the meter body can be mainly classified as adding image processing equipment and changing the internal structure. Cai Shun studies a remote control gas meter reading system based on ZigBee wireless communication technology and digital image recognition technology [2]. In this scheme, the sensor node takes a picture of the gas meter using a CMOS camera, and sends it to the sink node through a multi-hop ZigBee network in the residential area. Similar to the above method, Kun Wang studies a remote gas meter reading system based on a wireless communication technology named LoRa [3]. This scheme mainly includes a machine vision system and a wireless communication system. The former refers to acquiring the image information of the dial of a diaphragm gas meter, and then obtaining the value by using image processing. The latter involves using the LoRa module to send the gas consumption data to the server. Although these methods have high credibility and do not require changing the existing gas meter and gas pipelines, they demand high levels of the image transmission and processing algorithm's efficiency and the computer hardware used to process pictures. Ying Xie utilizes the M-Bus networks and GPRS wireless transmission technology to achieve remote control and transmiss...

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“…Among all period detection techniques, those based on AMDF and ACF are more widely used than other methods. AMDF has the advantages of low computation complexity and high precision, but with the increase of delay, the decrease of frame overlap for its calculating will lead to the phenomenon of a falling trend [10,11]. In addition, the traditional AMDF will appear to mistake showing the location of the lowest notch besides zero point rather than showing the real period.…”

Section: Introductionmentioning

confidence: 99%

A Signal Period Detection Algorithm Based on Morphological Self-Complementary Top-Hat Transform and AMDF

Zhi-gang

Wang

2019

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Period detection technology for weak characteristic signals is very important in the fields of speech signal processing, mechanical engineering, etc. Average magnitude difference function (AMDF) is a widely used method to extract the period of periodic signal for its low computational complexity and high accuracy. However, this method has low detection accuracy when the background noise is strong. In order to improve this method, this paper proposes a new method of period detection of the signal with single period based on the morphological self-complementary Top-Hat (STH) transform and AMDF. Firstly, the signal is de-noised by the morphological self-complementary Top-Hat transform. Secondly, the average magnitude difference function of the noise reduction sequence is calculated, and the falling trend is suppressed. Finally, a calculating adaptive threshold is used to extract the peaks at the position equal to the period of periodic signal. The experimental results show that the accuracy of periodic extraction of AMDF after Top-Hat filtering is better than that of AMDF directly. In summary, the proposed method is reliable and stable for detecting the periodic signal with weak characteristics.

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Contact-free measurement of respiratory rate using infrared and vibration sensors

Cited by 18 publications

References 20 publications

Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement

Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement

An Indirect Measurement Method for Gas Consumption of a Diaphragm Gas Meter Based on Gas Pressure Signal Detection

A Signal Period Detection Algorithm Based on Morphological Self-Complementary Top-Hat Transform and AMDF

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