The traditional respiratory rate detection techniques, such as clinic monitor and ventilator, are often limited to specific application scenarios due to their complexity and high cost. In this work, we propose a dispo...
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The traditional respiratory rate detection techniques, such as clinic monitor and ventilator, are often limited to specific application scenarios due to their complexity and high cost. In this work, we propose a disposable and cost-effective paper-based (PB) LiCl humidity sensor. The results show that the PB LiCl humidity sensor can detect a relative humidity (RH) range of 28.8-91.5 %, with alternating current impedance of 562.9 and direct current resistance response of 10,928.8 at 91.5 % RH (25 degrees C). Notably, the incorporation of LiCl reduces the resistance of the paper material, which makes it easier for the circuit to obtain the resistance value. To achieve automatic recognition of respiratory rate, we propose a precise peak-seeking algorithm based on extreme value detection, addressing the baseline drift issue encountered in actual respiratory detection by humidity sensor. The corresponding circuit system is designed, which can accurately capture and analyze humidity changes caused by respiration, generate real-time respiratory response curves, and calculate respiratory rates, achieving intelligent respiratory rate detection. This work provides a useful reference for developing portable and low-cost respiratory detection equipment based on the disposable PB LiCl humidity sensor.
In the progress of wavenumber traceability using polystyrene films, different peak-seeking algorithms are discussed in this paper. Conclusion shows that in commonly used methods, spline method, center of gravity metho...
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ISBN:
(纸本)9780819483843
In the progress of wavenumber traceability using polystyrene films, different peak-seeking algorithms are discussed in this paper. Conclusion shows that in commonly used methods, spline method, center of gravity method and the second derivative method, spline method is better than the others with simple algorithm and good agreement. It is strongly recommended to use in practical for calibrating FTIR spectrometer.
In the progress of wavenumber traceability using polystyrene films,different peak-εeeking algorithms are discussed in this *** shows that in commonly used methods,spline method,center of gravity method and the second...
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In the progress of wavenumber traceability using polystyrene films,different peak-εeeking algorithms are discussed in this *** shows that in commonly used methods,spline method,center of gravity method and the second derivative method,spline method is better than the others with simple algorithm and good *** is strongly recommended to use in practical for calibrating FTIR spectrometer.
Aiming at the problem that traditional peak-seeking algorithms cannot directly detect multiple reflections of Fiber Bragg Grating (FBG) sensing systems, this paper proposes a multi-peak detection algorithm. A seven-po...
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Aiming at the problem that traditional peak-seeking algorithms cannot directly detect multiple reflections of Fiber Bragg Grating (FBG) sensing systems, this paper proposes a multi-peak detection algorithm. A seven-point moving average filter is used to process the FBG reflection spectral signal, reduce the high-frequency noise in the spectral signal, and determine the optimal segmentation spectral threshold point through Hilbert transform. The derived spectral signal obtains multiple FBG reflection spectral signal's sub-spectra and achieves the initial positioning of the spectral peak. The Levenberg-Marquardt (LM) algorithm is used to extract the Bragg wavelength from the segmented sub-spectral signal, as well as optimizing the Gaussian curve fitting coefficients. The optimized Gaussian-LM algorithm is then utilized to achieve precise positioning of the spectral peak. The influence of different spectral segmentation thresholds on FBG peak-seeking accuracy was analyzed. Theoretical analysis and experimental results showed that the proposed algorithm could dynamically detect multiple reflection spectra of the FBG sensing system with good stability while reducing the amount of peak-seeking data, which is highly beneficial to improve the signal demodulation rate. The average error of the algorithm is 4.34 pm, i.e., it has high accuracy compared to the comparison algorithm. As a result, it is shown that the multipeak detection algorithm proposed in this paper can be applied to the distributed FBG sensing systems.
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