Reflectance Spectrum Analysis Method And Based On This Method Optical Fiber Colour Sensor For In-Process Colour Recognition

1989 ◽  
Author(s):  
Elzbieta Marszalec
Keyword(s):  
Optical Fiber ◽  
Spectrum Analysis ◽  
Reflectance Spectrum ◽  
Analysis Method

scholarly journals Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis

2021 ◽  
Vol 3 ◽  
Author(s):  
Rongjian Zhao ◽  
Lidong Du ◽  
Zhan Zhao ◽  
Xianxiang Chen ◽  
Jie Sun ◽  
...  
Keyword(s):  
Heart Rate ◽  
Individual Differences ◽  
Optical Fiber ◽  
Confidence Intervals ◽  
Respiration Rate ◽  
Spectrum Analysis ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Respiration Rates ◽  
The Mean

The aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical fiber sensor, was used for extracting the heart rate and the respiration rate. However, due to the detrimental effects of the differential detector, self-interference, and variation of installation status of the sensor, the ballistocardiogram (BCG) signal was difficult to detect. In order to resolve the potential concerns of individual differences and body interferences, adaptive regulations and statistical classifications spectrum analysis were used in this paper. Experiments were carried out to quantify heart and respiration rates of healthy volunteers under different breathing and posture conditions. From the experimental results, it could be concluded that (1) the heart rates of 40–150 beats per minute (bpm) and respiration rates of 10–20 breaths per minute (bpm) were measured for individual differences; (2) for the same individuals under four different posture contacts, the mean errors of heart rates were separately 1.60 ± 0.98 bpm, 1.94 ± 0.83 bpm, 1.24 ± 0.59 bpm, and 1.06 ± 0.62 bpm, in contrast, the mean errors of the polar beat device were 1.09 ± 0.96 bpm, 1.44 ± 0.99 bpm, and 1.78 ± 0.94 bpm. Furthermore, the experimental results were validated by conventional counterparts which used skin-contacting electrodes as their measurements. It was reported that the heart rate was 0.26 ± 2.80 bpm in 95% confidence intervals (± 1.96SD) in comparison with Philips sure-signs VM6 medical monitor, and the respiration rate was 0.41 ± 1.49 bpm in 95% confidence intervals (± 1.96SD) in comparison with ECG-derived respiratory (EDR) measurements for respiration rates. It was indicated that the developed system using adaptive regulations and statistical classifications spectrum analysis performed better and could easily be used under complex environments.

Performance Optimization Based Spectrum Analysis on Optical Fiber Raman Amplifier with Backward Pumping

2012 ◽  
Vol 263-266 ◽  
pp. 1004-1007 ◽  
Author(s):  
Li Ying Liu ◽  
Yan Huang ◽  
Chun Yu Liu ◽  
Xin Ming Zhang ◽  
Jiu Ru Yang
Keyword(s):  
Optical Fiber ◽  
Spectrum Analysis ◽  
Performance Optimization ◽  
Low Cost ◽  
Low Complexity ◽  
Gain Bandwidth ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier ◽  
Output Performance ◽  
Output Characteristics

Optical fiber Raman amplifier (OFRA) with wide and flat gain bandwidth has been widely applied in the fields of optical communication, sensing and measurement. However, the performance optimization is always one of the hot topics in the study of OFRA, because its output characteristics are hardly dependent to some key designing parameters. In this paper, to overcome the problems above, we adopt a spectrum analysis based method to study the output performance of an OFRA system with backward pumping. By simulating the operation of the OFRA system, its output characteristics are first showed easily, with the advantages of real time, low cost, and low complexity. Further, according to the numerical results obtained, the optimal parameters of an OFRA system are determinate, and the performance in terms of output power, signal noise ratio, and the level of gain flatness is improved and optimized obviously.

Fast Pattern Recognition Based on Frequency Spectrum Analysis Used for Intrusion Alarming in Optical Fiber Fence

2015 ◽  
Vol 42 (4) ◽  
pp. 0405010 ◽  
Author(s):  
王照勇 Wang Zhaoyong ◽  
潘政清 Pan Zhengqing ◽  
叶青 Ye Qing ◽  
蔡海文 Cai Haiwen ◽  
瞿荣辉 Qu Ronghui ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Optical Fiber ◽  
Frequency Spectrum ◽  
Spectrum Analysis ◽  
Frequency Spectrum Analysis
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