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The research of pulse wave signal denosing based on EMD and ICA

The research of pulse wave signal denosing based on EMD and ...

The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

作者： Yingying Zheng Yongliang Zhang Yanli Liu Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent Machine Anhui institute of Architecture & Industry Hefei 230601 China

Pulse wave is easily contaminated by noise when being sampled and processed. In order to extract and analyze the useful information involved, the paper presents a novel denoising algorithm based on empirical mode decomposition (EMD) and independent component analysis (ICA).First, the signal is decomposed by EMD ,then a series of intrinsic mode functions (IMFs) and the remainder can be obtained. Second, ICA will be performed to separate independent components from IMFs. At last, these independent components will be used to reconstruct the pulse wave signal. By using the method, we are able to separate noise and estimate desired source signals from pulse wave signal. Experimental results substantiate the strong potential of the proposed method for pulse wave signal noise separation.

关键词： Empirical mode decomposition independent component analysis pulse wave signal

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Performance of optimized TVOCs sensor

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Procedia Engineering 2010年 7卷 392-398页

作者： Fumin Peng Tao Luoa Yupeng Yuan Lingguang Qiu Laboratory of Advanced Porous Materials and College of Chemistry and Chemical Engineering Anhui University Anhui Hefei 230039 China Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of Intelligent Machines Chinese Academy of Sciences Anhui Hefei 230031 China

In this paper, an improved TVOCs (total volatile organic compounds) sensor construction was studied. Base on this new construction, the optimized flow rate, the responding character and the linear range of detector were studied. The effect of different electrode positions on the signal intensity was tested at different voltages. Compared with traditional PID — axial PID3, the construction of this perpendicular PID could make the sensitivity loss decreased by a factor of 40%. Especially, a newly adopted automatic cleaning technique was tested, which could decrease the drift greatly and make the signal of the detector almost unchanged after two weeks of continuous detection. Due to this new construction, the response time was decreased and the accuracy consequently was improved. When coupled with automatic cleaning technique, labor intensive daily calibration and frequent lamp cleaning were eliminated. The improvements in this new design made the detector more compatible with field uses.

关键词： Photoionization detector Direct-reading and automated cleaning Total volatile organic compounds

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Identification of liquid materials using energy dispersive X-ray scattering

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Procedia Engineering 2010年 7卷 135-142页

作者： Yu Zhong Bai Sun Daoyang Yu Wei Li Yu Zhang Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China Anhui Provincial Laboratory of Biomimetic Sensor and Detecting Technology West Anhui University Anhui Lu’an 237012 237012 PR China

Energy dispersive X-ray scattering (EDXRS) has been successfully applied for the identification of liquid materials for the first time. Three liquid systems of primary alcohols, ketones compounds and acids are carefully investigation and the scattering spectra are described. Based on structural and compositional differences of compounds, the scattering profiles of all samples exhibit characteristic shapes, indicating that EDXRS profile is unique to each specific liquid material. These findings imply that EDXRS would be promisingly applied as a non-invasive inspection for liquid identification.

关键词： Liquid materials Energy dispersive X-ray scattering Detection Identification

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The influence of X-ray wavelength and the simulative human skin and muscle obstruction on the detection of human body-hidden drugs by non-intrusive X-ray diffraction method

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Procedia Engineering 2010年 7卷 195-202页

作者： Bai Sun Minqiang Li Fang Zhang Yu Zhong Daoyang Yu Wei Lu Guoqiang Pan Jinhuai Liu The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 PR China

In order to detect the body-hidden drugs non-intrusively and rapidly, the influence of the X-ray wavelength and covering of the simulative skin and muscle on the detection of methamphetamine sample by synchrotron radiation X-ray diffraction (SR-XRD) technique have been investigated. Synchrotron radiation based X-ray with three different wavelengths (1.29 Å, 1.54 Å, 1.80 Å) has been chosen as the X-ray source. The results indicate that the intensities as well as the number of the diffraction peaks of methamphetamine sample covered by simulative muscle decreased with the increasing of the X-ray wavelength from 1.29 Åto 1.80 Å. In addition, the intensities of the diffraction peaks for methamphetamine will be seriously affected by the covered simulative skin or muscle due to the X-ray absorption. Furthermore, the absorption of X-ray by the simulative muscle seems much stronger than that of the simulative skin. Moreover, the specific molecular structure of the methamphetamine sample has been obtained by X-ray diffraction method.

关键词： Drug detection SR-XRD Methamphetamine Molecular structure

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Predicting Arterial Stiffness from radial Pulse Waveform using support vector machines

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Procedia Engineering 2010年 7卷 458-462页

作者： Yingying Zheng Yongliang Zhang Zuchang Ma Yining Sun Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent machines Chinese Academy of Sciences Hefei 230031 China Department of Automation University of Science and Technology of China Hefei 230027 China

Cardiovascular disease (CVD) is a larger cause of mortality in the developed country; hence, the early detection of its onset is vital for effective prevention. Arterial stiffness as measured by radial augmentation index (AIx) has been shown to be an independent predictor of CVD; however, the measurement of AIx is complex and not easily obtained precisely. A new approach based on the implementation of support vector machine (SVM) is presented for classification of radial pulse waveform. The radial pulse signals was decomposed into time-frequency representations using discrete wavelet transform (DWT) and wavelet scale-energy were calculated to represent the signals. The purpose is to predict an optimum classification scheme. The result demonstrated that the wavelet scale-energy are the features which well represent the radial Pulse Waveforms and the SVM trained on these features achieved high classification accuracies.

关键词： Arterial stiffness Support vector machine Discrete wavelet transform Wavelet packet energy entropy

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A novel biometrie recognition system based on ground reaction force measurements of continuous gait

A novel biometrie recognition system based on ground reactio...

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Conference on Human System Interactions, HSI

作者： Zhi-Ming Yao Xu Zhou Er-Dong Lin Su Xu Yi-Ning Sun Department of Automation University of Science and Technology Hefei Anhui China The Key Laboratory of Biomimetic Semsing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China

A novel biometric recognition system is designed in this paper, using ground reaction force (GRF) measurements of continuous gait. Original GRF signals are combined in three directions Respectively. Waveform interpolation and align ment are performed to meet th e demand of feature extraction ba sed on wavelet packet (WP) decomposition, re-sampling approach is utilized to expand valid training sets. Features are s elected u sing a fuzzy set-based features election criterion. Classification is accomplished using a kernel-based support vector machine (SVM). The parameter tuning of the S VM classifier is performed using a grid searching method. The approach is tested on a database comprising GRF records obtained from 103 subjects. Comparative results demonstrate that re-sampling approach and waveform interpolation and alignment can improve the recognition accuracy.

关键词： Force measurement Interpolation Support vector machines Support vector machine classification Biometrics Feature extraction Wavelet packets Fuzzy sets Nominations and elections Virtual manufacturing

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Synchrotron radiation circular dichroism: a new tool for identification of point-mutation protein

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Procedia Engineering 2010年 7卷 143-146页

作者： Honglin Liu Shiqiang Wei Ye Tao Liangbao Yang Jinhuai Liu The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province Institute of Intelligent Machines Chinese Academy of Science Hefei 230031 China National Synchrotron Radiation Laboratory University of Science & Technology of China Hefei 230029 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100039 China

Many diseases are associated with the mutation of wild-type proteins. Usually, a point mutation can lead to severe clinical outcomes. Few techniques have the ability to detect the minute differences between the wild-type and mutant proteins in solution under near physiological conditions. Circular dichroism (CD) is an established and valuable technique for examining protein structure. Because of its ability to sensitively detect conformational changes, it has important potential for identification of mutant protein. Synchrotron radiation CD (SRCD) offers significant enhancements with respect to conventional CD spectroscopy, which will enable its usage for high-resolution conformation detection and as a tool in the point-mutation protein identification. In this report, SRCD was used, as an example, to identify the point-mutations of human phosphoribosyl pyrophosphate synthetase 1 which were associated with an X chromosome-linked disease.

关键词： Synchrotron radiation circular dichroism Secondary structure Point mutation Phosphoribosyl pyrophosphate synthetase 1

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Notice of Retraction: A Dynamic Simulation of Force in the Movement of Ameba Based on Cosmos

Notice of Retraction: A Dynamic Simulation of Force in the M...

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International Conference on Modeling, Simulation and Visualization Methods (WMSVM)

作者： Lei Chen Minzhou Luo Tao Mei Precision Machinery and Precision Instrumentation University of Science and Technology Hefei China Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of Intelligent Machines Chinese Academy and Sciences Hefei China

This article has been retracted by the publisher.

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Synthesis and application of DNA-templated silver nanowires for ammonia gas sensing

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Materials Science and Engineering C 2009年第4期29卷 1191-1195页

作者： Zhao, Kai Chang, Qifei Chen, Xing Zhang, Buchang Liu, Jinhuai The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province Institute of Intelligent Machines Hefei 230031 China School of life science Anhui University Hefei 230039 China

The DNA-templated silver nanowires have been synthesized by a simple chemical reduction method in solution and used for gas detection of ammonia. Lactic acid as a stabilizer in reduction bath can effectively decrease the nonspecific deposition of metallic silver by slowing down the reaction. In the present experiments, the highly conductive DNA-templated silver nanowires consisting of grains improve the surface area/volume ratio, which can increase the adsorption of ammonia gas molecules. The results of gas sensing measurements indicate that these nanowires show a high selectivity to ammonia, a quick gas response (~ 10s) and a fast recovery (~ 7s). Moreover, the possible gas sensing mechanism has been discussed in this paper. Therefore, we found that the DNA-templated silver nanowires reported here might be a potential candidate of gas sensing materials for ammonia gas detection. Crown Copyright © 2008.

关键词： Ammonia

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Development of a novel H2S gas sensor based on CuO-doped SnO2 hollow nanospheres

Development of a novel H2S gas sensor based on CuO-doped SnO...

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IEEE Sensors 2009 Conference - SENSORS 2009

作者： Liu, Jinhuai He, Lifang Chen, Xing Meng, Fanli Li, Minqiang Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of IntelligMachines CAS Hefei China

ISBN: (纸本)9781424445486

An effort has been made to develop a kind of CuO-doped SnO2 gas sensors for detecting trace amount of H2S gas at relative low temperature. The CuO-doped SnO2 hollow nanospheres are prepared from SnO2 hollow spheres (employing carbon nanospheres as temples) and Cu precursor by dipping method. The sensitivity and selectivity of the sensors based on the as-prepared CuO-doped SnO2 hollow nanospheres have been studied in details. It had been found that trace amount of H2S gas can be detected by the sensors at a relative low temperature of 35°C. The good sensing performances might be attributed to two factors. Firstly, using SnO2 hollow nanospheres might increase the chances of formation of p-n junctions between CuO nanoparticles and SnO2 nanoparticles. Secondly, the existence of porous structure would improve the active sensing surface area and enhance the efficient gas diffusion. In one word, CuO-doped SnO2 hollow nanospheres might be one of the most promising materials for detecting trace amount of H2S gas. ©2009 IEEE.

关键词： Copper oxides

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