中文核心期刊

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2017 Vol. 37, No. s1

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Species Detection Based on Blood Spectrum
LI Hong-xiao, SUN Mei-xiu, WANG Zhen-nan, ZHAO Xiao-meng, XIANG Zhi-guang, WANG Yi, LI Ying-xin
2017, 37(s1): 1-4. doi:10.15918/j.tbit1001-0645.2017.增刊1.001
Abstract(943) PDF(382)
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A spectrum detection technique based on blood spectrum data to identify blood source species was proposed.A device which can collect the spectrum of the blood sample in the anticoagulant tube was designed,and the spectrum data of 649 blood samples were collected by the equipment.In order to meet the needs of species identification,a data driven modeling method was established.Use this method to cross-validate the sample dataset,the recognition accuracy rate can reach 95%,and the accuracy was found to increase with the increasing of sample size.
Analysis of Space Radiation Protection Demand for Female Astronaut
XU Feng, JIA Xiang-hong, LIU Qian, PAN Zhanchun, YANG Chun-xin
2017, 37(s1): 5-10. doi:10.15918/j.tbit1001-0645.2017.增刊1.002
Abstract(855) PDF(373)
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In order to ensure the female astronauts' health and safety,the space radiation risk and propound the appropriate methods for space radiation protection should be evaluate. In this paper,Chinese female astronauts model (CFAM) was established,which was adjusted according to the bodily form of Chinese female astronauts,and organ doses were calculated using Monte Carlo methods. The incident particles were proton,carbon ion and iron ion; the shielding conditions were 0 g/cm2and 5 g/cm2aluminum. Some space radiation protection requirements for female astronauts in different missions were analyzed based on these data.The results show that for medium-term or long-term spaceflight missions,especially manned lunar-landing missions and deep-space explorations,some specialized local protection methods should be used for female astronauts. Furthermore,novel space radiation protection methods,such as active protection technique must be further researched in the future.
Effective Signal Extraction Method and Model Building in Noninvasive Detection of Blood Glucose Based on Dynamic Spectrum
LI Xiao-xia, LIANG Hong-lu, LI Yan-yu, SUN Juan
2017, 37(s1): 11-17. doi:10.15918/j.tbit1001-0645.2017.增刊1.003
Abstract(781) PDF(293)
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In order to improve the accuracy of noninvasive detection,a new method of signal extraction from the dynamic spectrum was presented.With this method,spectrum overlap was eliminated effectively.In the model building method,principal component analysis was used to reduce the dimension of the dynamic spectral matrix,genetic algorithm and BP neural network was combined to establish mathematical model to predict the blood glucose.Experimental result shows that this method can improve the accuracy of blood glucose detection.
Preparation of Surface Protein Imprinting Nanoparticles with Aptamers
YE Kai-da, YANG Shu, WANG Xin-yu, HAN Tian-jiao, ZHANG Peng-jie, SUN Li-quan, LIN Fan-kai, GENG Li-na, LUO Ai-qin, DENG Yu-lin
2017, 37(s1): 18-22. doi:10.15918/j.tbit1001-0645.2017.增刊1.004
Abstract(957) PDF(313)
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In this paper,a highly specific biomolecule,the nucleic acid aptamer,was introduced into the molecular imprinting technique.A new type of molecular imprinted material was prepared by combining the high specific surface area of the magnetic nanoparticle material,the ease of operation and the ease of modification.First the silicified magnetic microspheres with better performance were obtained,and then the functional monomers,crosslinking agents and derivatized aptamers were added.The lysozyme was used as the template molecule to prepare the magnetic lysozyme molecular imprinting aptamers-nanoparticles.The results showed that the protein adsorption capacity of different materials was,from high to low respectively,the protein imprinting material with aptamer,non-protein imprinting material with aptamer,protein imprinting material and nonimprinting material.The preliminary study shows that the introduction of the aptamer to the magnetic particles can effectively improve performance of the molecularly imprinted material.
Cell Culture of Nerve Cell and Immune Cell in CO2-Free Environment Based on Microfludic Chip
Chen Yu, Zhang Jing, Cen Junliang, Sun Feiyi, Chen Bo, Deng Yulin, Ma Hong
2017, 37(s1): 23-28. doi:10.15918/j.tbit1001-0645.2017.增刊1.005
Abstract(851) PDF(317)
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Space station is important to space biology and it is difficult to provide CO2environment,a crucial element to cell culture.Meanwhile,a controllable and automatic method of cell culture is needed to perform the research in space station.Consequently,the establishment of cell culture based on microfluidic chip in a CO2-free environment is extremely important.Firstly,changed the component of medium (Initial pH of the medium was changed,then adding up exogenous CO2into the medium,finally adding up buffer in culture medium),and performed the cell culture in CO2-free environment (the co-culture of U87 MG and SHSY-5Y and THP-1),then used MTS method to determine the cell viability.Secondly,after adding different proportions of HEPES, performed the cell culture in CO2-free environment,the cell viability was determinated by MTS method.Finally,according to the optimal proportion of HEPES,the cells were cultured in microfluidic chip.It was concluded that in CO2-free environment,cells in microfluidic chip would survive in the medium with 3% HEPES for 5 days.
Determination of the Abundance Proteins of Adipose Synthesis and β-Oxidation Using18O Isotope Labeled and QconCAT Protein Combined with Multiple Reaction Monitoring Mass Spectrometry
ZHANG Chi, HONG Jie, ZHANG Yong-qian, DENG Yu-lin
2017, 37(s1): 29-34. doi:10.15918/j.tbit1001-0645.2017.增刊1.006
Abstract(983) PDF(292)
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A novel method using QconCAT protein combined with18O-labeling technique and multiple reaction monitoring mass spectrometry was established to quantify proteins involved in the pathway of adipose synthesis and β-oxidation.Firstly,the QconCAT proteins were constructed,and expressed inEscherichia coli.The digestion and the18O labeling efficiency were optimized.Secondly,the novel method of quantifying adipose synthesis and β-oxidation was developed.Lastly,target proteins of obesity and control groups were quantified by MRM.The results showed that the abundance of the enoyl ACP reductase and malonyl-COA ACP transferase increased significantly in the obesity group withP<0.05.It is consistent to previous reports and means the method had its reliability to analyze the biological sample.
Identification of membrane proteins of rat hippocampus based on RP-RP/LC-MS/MS
ZHU Zhao-yang, WANG Yun, LIU Ya-hui, ZHANG Yong-qian, DENG Yu-lin
2017, 37(s1): 35-40. doi:10.15918/j.tbit1001-0645.2017.增刊1.007
Abstract(723) PDF(343)
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Liquid chromatography combined with mass spectrometry has been widely used in proteomics research,especially the development of two-dimensional chromatography provides a more accurate technical method for the separation and analysis of complex biological samples.The hippocampus is an important brain region of the medial temporal lobe,mainly responsible for learning and memory.These functions are closely related to the hippocampal membrane protein which is difficult to separate and identify due to its hydrophobicity and low abundance.Hippocampal membrane protein was isolated and purified By the way of differential centrifugation.The RP-RPLC-MS/MS was used for the separation and analysis of hippocampal membrane protein.2502 proteins was identified,which were further found involved in many process related to learning and memory through the bioinformatics analysis,including the process of protein localization,synaptic plasticity,protein transport and vesicular transport.This study will help to reveal the relationship between hippocampal membrane protein and function.
Bystander Effects Induced by Heavy Ion Irradiation on Neural Tumor Cells
CHEN Bo, LI Bo, ZHANG Zi-yin, SUN Fei-yi, SUI Li, KONG Fu-quan, MA Hong
2017, 37(s1): 41-45. doi:10.15918/j.tbit1001-0645.2017.增刊1.008
Abstract(615) PDF(362)
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A new method for the detection of the bystander effects of heavy ion radiation on tumor cells was proposed.A model was established mainly based on the signal factors that were secreted by cells after radiation to influence cells without radiation by means of the culture medium transfer experiment.This model was in accordance with actual measurements and convenient for computation.This method was used to simulate neural tumor cells affected by heavy-ion radiation in vivo and investigate the changes in the proliferation and apoptosis of cells not irradiated but cultured in the media harvested form the irradiated cells.Simulation results indicated that neural tumor cells will release special signal molecules after radiation,and these molecules can inhibit the proliferation of normal cells.Moreover,the inhibition effect was proportional to the time and dosage of heavy ion irradiation.
Investigation on Preparation Process and Stability of Lysozyme from Plateau Chicken Eggs
Sun Wei-wei, Wang Di, HU Zhi-cheng, Chen Yan, Deng Yu-lin, Luo Ai-qin, Dai Rong-ji
2017, 37(s1): 46-49. doi:10.15918/j.tbit1001-0645.2017.增刊1.009
Abstract(716) PDF(280)
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Lysozyme was widely found in animals,plants and microorganisms,and the content of lysozyme was the highest in egg white.Enzyme activity of lysozyme in rare birds egg white is higher than lysozyme in ordinary eggs,Rare birds eggs is more suitable as a production source of high quality.In this paper,rare birds eggs and cation exchange resin was taken as raw material and aim to establish a process that suitable for industrialized production of rare birds egg lysozyme,process research was mainly divided as the following aspects:selection of raw materials and resins for lysozyme extraction,establishment of preparation process of lysozyme from plateau chicken eggs and quality evaluation of plateau chicken egg lysozyme.
Brain Functional Network Analysis of Sub-Healthy State with Insomnia in Resting State
XU Gui-zhi, ZHAI Yue, YU Hong-li, FU Ling-di
2017, 37(s1): 50-55. doi:10.15918/j.tbit1001-0645.2017.增刊1.010
Abstract(671) PDF(274)
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Subjects of sub-healthy state with insomnia were chosen according to Pittsburgh Sleep Quality Index to participate in the experiment.64-channel electroencephalography(EEG)signals of subjects in the resting state were recorded using 128-channel EEG system.We investigated the specific differences between subjects of sub-healthy state with insomnia and healthy subjects based on the analysis of EEG synchronism,the construction and analysis of brain functional networks,and the analysis of negative correlation properties.The results showed that the EEG synchronism of subjects in sub-healthy state with insomnia reduced,and the edges of the brain functional network decreased.The brain activity reduced and these differences were more obvious in the EEG negative correlation properties than positive correlation.
Analysis of the Correlation between ECG Noise and Sleep Stages
TANG Xiao-ying, LI Yan-jun, XU Zhi, LI Jing
2017, 37(s1): 56-61. doi:10.15918/j.tbit1001-0645.2017.增刊1.011
Abstract(969) PDF(575)
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It is explored whether there is correlation between the noise of the Electrocardiogram (ECG) and sleep stages.The distribution of the noise segments was statistically analyzed during wakefulness,light sleep,deep sleep,rapid eye movement (REM) sleep,and the transition periods between different sleep stages.Totally two sleep groups were selected from the cyclic alternating pattern (CAP) sleep database,including insomnia (N=7) and controls (N=14).Most noise segments were in wakefulness (insomnia 84.2%±16.0%,controls 53.6%±21.9%,P<0.01) and at the transition period between different sleep stages (insomnia 9.4%±12.7%,controls 23.6%±14.0%,P<0.05).ECG noise segments mainly distribute in wakefulness stages and secondly at the transition periods between different sleep stages.
Analyses of Mental Fatigue Monitored Based on EEG Spectrum-Related Features
YANG Shuo, HAO Peng-ru, WANG Lei, AI Na, JI Ya-kun, XU Gui-zhi
2017, 37(s1): 62-66. doi:10.15918/j.tbit1001-0645.2017.增刊1.012
Abstract(729) PDF(277)
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An objective and feasible index for monitoring the mental fatigue degree was proposed.A mental fatigue model was established.There spectrum-related features including dominant frequency,barycenter frequency and relative power in different rhythm were extracted from the electroencephalogram before and after fatigue.The relationships between such three features and brain fatigue states were analyzed,and then did statistical analyses of experimental data.The results show that the EEG power moved to low frequency segment,the dominant frequencies and barycenter frequencies of all electrodes decrease,the relative power in θ rhythm increases,but the relative power in β rhythm decreases when the mental fatigue degree increases.Therefore,the spectrum-related features of EEG can reflect the degree of mental fatigue,and may hopefully become the objective index for monitoring the mental fatigue degree.
Researchon Brain Functional Network During Mental Fatigue
YANG Shuo, AI Na, WANG Lei, YIN Ning, XU Gui-zhi
2017, 37(s1): 67-71. doi:10.15918/j.tbit1001-0645.2017.增刊1.013
Abstract(790) PDF(292)
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This study is aimed to research the effects of mental fatigue caused by long-term mental activity on brain functional connectivity,and investigate objective indicators of mental fatigue evaluation.Mental fatigue was induced by a sustained cognitive task.Using mutual correlation in time domain,the correlation properties of electroencephalogram (EEG) data recorded in two states (normal state and mental fatigue state) were analyzed.The brain functional networks were constructed.The characteristic parameters were statistically analyzed based on the complex network theory.The results showed that the scales of subjective perceived fatigue were increased after the sustained cognitive task.The average degree,average clustering coefficient and network density were significantly decreased during mental fatigue,while average path length was significantly increased.The characteristic parameters of brain functional network could reflect changes of brain functional connectivity during mental fatigue.
Research on Multi-Channel EEG Modelling
LI Wei, LI Xiao-xia, ZHANG Jin-hao, LIANG Hong-lu
2017, 37(s1): 72-78. doi:10.15918/j.tbit1001-0645.2017.增刊1.014
Abstract(734) PDF(308)
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The basic neuron mass model was constructed,the three typical forms brain waves was simulated.The basic model was extended to multi-kinetics NMM and multi-channel coupled NMM.In the two new models,the EEG signals under different coupling strengths and different coupling direction were simulated by changing the coupling parameters of the model.The result shows that the multi-kinetics NMM can output more abundant signals by adjust the weight coefficient of the model.With the increase of coupling coefficient in multi-channel coupled NMM,low frequency component was more obvious.Low frequency single spectrum peak occurs when the coefficient threshold was reached.In this paper,EEG signal from the acupuncture stimulation was simulated;the results show that the increase of the coupling coefficient can enhance synchronization between the different channels of the signal.
Study of Brain Functional Network Based on Granger Causality of EEG Under Magnetic Stimulation at Acupuncture Point
WANG Yao, XU Gui-zhi, GUO Lei, YIN Ning, QU Ruo-wei, GUO Miao-miao, FU Ling-di
2017, 37(s1): 79-83. doi:10.15918/j.tbit1001-0645.2017.增刊1.015
Abstract(974) PDF(318)
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Magnetic stimulation has the significant advantages of effective,painless,non-invasive,easy to duplicate and simple operationin the application of central nerve function test and nerve function recovery.Acupoint is the breakthrough point between body surface stimulation and internal nervous system regulation,which is significant in the study of regulatory mechanism of t he brain complex dynamic system and rehabilitation treatment of some diseases.In this paper, Granger causality was used for brain functional network building based on EEG signal under magnetic stimulation at PC6 acupoint,explored the change rule of the causation of the brain during the stimulation.In addition,the features of complex network were comparatively analyzed between the quiescent and stimulated states.Our experimental results show the information flow of the brain system at the quiescent state is balanced.The power of the GC was increased,the flow of information was mainly from the frontal lobe to the occipital lobe,the central intensity of C4 in parietal lobe was significantly increased,the efficiency of information transmission was improved and the "small-world" property was stronger through stimulating PC6 acupoint.
Experimental Study of the Effect of Blood Vessel on High Intensity Focused Ultrasound Focal Region
WU Shi-jing, CHANG Shi-hui, WANG Peng, JIAN Xi-qi
2017, 37(s1): 84-87. doi:10.15918/j.tbit1001-0645.2017.增刊1.016
Abstract(774) PDF(272)
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Temperature of a given point near focal region and the size of focal region were measured to study the effect of blood vessel on high intensity focused ultrasound focal region.Blood vessel location and blood flow velocity were varied and the thermocouple probe was inserted vertically to the sound axis into the tissue phantom.After experiment,the size of focal region was calculated by Matlab.Temperature was getting higher and the focal region wass getting bigger when focus was far from blood vessel.The temperature when there was no blood flow near the focal region obviously lower than that when there was blood flow.But when the blood flow velocity was varied,the change of temperature and the size of focal region was not obvious.The blood vessel location and blood flow velocity have effect on temperature distribution of focal region for high intensity focused ultrasound,and blood vessel should be considered when the focal region was close to blood vessel in the clinical treatment.
Numerical Simulation of the Influence of Shear Modulus and Viscosity to the Ultrasound Field of Microbubble Enhanced High Intensity Focused Ultrasound
WANG Peng, YU Bo-tao, CHANG Shi-hui, WU Shi-jing, JIAN Xi-qi
2017, 37(s1): 88-92. doi:10.15918/j.tbit1001-0645.2017.增刊1.017
Abstract(836) PDF(270)
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The influence of shear modulus and viscosity to the ultrasound field of microbubble enhanced high intensity focused ultrasound was discussed.The numerical simulation model was established based on the gas-liquid mixing acoustic propagation equation, Yang-Church bubble motion equation, the finite difference time domain (FDTD) method and Runge-Kutta (RK) method. The HIFU pressure field with different shear modulus and viscosity of tissue mimicking phantom was evaluated.The results showed that, as the shear modulus increasing, the pressure at focus decreases and the focus move closer to the transducer side; as the viscosity increasing, the pressure at focus increases and the focus position without clear shift.
Study on Mechanisms of Magnetic Stimulation of Different Acupoints Based on Complex Network
FU Ling-di, XU Gui-zhi
2017, 37(s1): 93-96. doi:10.15918/j.tbit1001-0645.2017.增刊1.018
Abstract(696) PDF(349)
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It is still controversial whether acupoint specificity exists.The different effects of magnetic stimulation of Hegu and Waiguan were investigated from the perspective of complex networks for the first time.Electroencephalogram data of two groups during resting state and magnetic stimulation were collected and preprocessed.Correlation coefficients between any two channels were calculated and then were analyzed statistically.Node strengths and betweenness centrality were computed.Results showed that magnetic stimulation of Waiguan had a significant effect on connections not only between the left frontal and parietal, occipital lobes, but also the connections between right frontal and left occipital, compared to Hegu.Node strengths and betweenness centrality have significantly different changes over brain regions.The study confirmed again that magnetic stimulation of acupoint can change the cortical plasticity and also provide a theoretical basis for acupoint specificity to some degree.
Cypate-Mediated Thermosensitive Nanoliposome for Tumor Imaging and Photothermal Triggered Drug Release
LV Li-wei, HAN Zhi-hao, GU Yue-qing
2017, 37(s1): 97-101. doi:10.15918/j.tbit1001-0645.2017.增刊1.019
Abstract(882) PDF(296)
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Synthesized a novel multifunctional targeting nano liposome drug delivery system,the photothermal sensitive liposome(PTSL),with doxorubicin wrapped in the hydropholic layer as the therapeutical agents and cypate dopped in the hydrophobic layer as the diagnostic agents,and the outer phospholipid modified the targeted transmembrance peptide H4-1.The physical properties,stabilities and loading properties of the liposomes were tested,the nano composites we synthesized were targeted,stable and delicate,with a drug loading(DL)of 9±1.5% and encapsulation efficiency(EE)of 82.7±2.1%.The Tm value falls on 43.1℃,the temperature of which can be regarded as the proper temperature which can show the thermal therapy effective as well as not burn the normal tissue.It can raise the temperature of liposome to the Tm of thermal sensitive liposome,the liposome cracks and the wrapped chemotherapy drugs release.At the same time,in the level of organelles,the PTSLs mainly located in the cytoplasm.When exposured to the NIR light,the cypate can incuce the producing of singlet oxygen,causing the crack of the organelle membrane.And the liposome can achieve the functions of target-delivery,enhanced photochemical internalized release,chemotherapy and thremal therapy,indicating that the PTSL is a kind of promising drug delivery system for tumor diagnosis and targeting therapy.
The Effects of Rhoa Activity on Bone Marrow Mesenchymal Stem Cells Under Simulated Microgravity
CHEN Ying, HU Dong, ZHAO Qin, DU Jing-jing, TAN Xin
2017, 37(s1): 102-106. doi:10.15918/j.tbit1001-0645.2017.增刊1.020
Abstract(769) PDF(291)
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The study was to investigate the effects of simulated microgravity on bone marrow mesenchymal stem cells (BMSCs),including cell morphology,proliferation,cytoskeleton,cell adhesion,and the relationship between the activity of RhoA and those effects.RhoA activity was maintained by GST-CNFγwhen BMSCs were cultured under simulated microgravity.The microfilament structure and vinchlin were detected via immunofluorescence staining.Western blot was used to detect RhoA and vinchlin expression.The results showed that the simulated microgravity could decrease the RhoA activity,change the cell morphology,microfilament structure,and the cell adhesion.CNFγcan maintain the activity of RhoA,and the above simulated microgravity effects can be partly reversed by CNFγ,suggesting that simulated microgravity may affect cytoskeleton,cell adhesion by inhibiting RhoA activity.
Construction and Analysis of Brain Functional Network Based on Repetitive Transcranial Magnetic Stimulation
XING Yang-yang, GENG Yue-hua, WANG Chao, ZHANG Xin
2017, 37(s1): 107-112. doi:10.15918/j.tbit1001-0645.2017.增刊1.021
Abstract(748) PDF(224)
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The purpose of this study was to explore the effect of rTMS on the interaction of the cerebral cortex in the brain functional network.Based on graph theory,complex network theory was used to analyze the function of the brain electrical signal evoked by transcranial magnetic stimulation in the cortex.With rTMS on the motor area of the brain,the brain functional network were constructed under the quiet state,the EEG signal of magnetic stimulation motor area under the condition of the parameters on the global network of brain function and local parameters were analyzed statistically and by visual image.It was found that there was a significant change in the global and local parameters of the brain function network under the condition of magnetic stimulation motor area comparing with the condition of quiet,and the difference was statistically significant.
Micro Fluid-Driving Structure Based On Controllable Hydraulic Valve
Zhang De-yu, Deng Yu-lin, Li Xiaoqiong
2017, 37(s1): 113-117. doi:10.15918/j.tbit1001-0645.2017.增刊1.022
Abstract(814) PDF(397)
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A microfluidic driving structure and its method of micro valve based on hydraulic drive were proposed.The valve uses piezoelectric ceramics(Pzt)as power and PWM as real-time switch and the driving structure consists of main pump chamber and several hydraulic micro valves.All of valves were switched at a high speed to drive the liquid flow dynamically.The units have advantages of small,accurate and easy to be integrated into microfluidic chips,which can be used in uTAS systems,POCT miniaturization equipment and other aspects.
Simulation and Analysis of Neuronal Circuit Based on STDP Mechanism
GUO Lei, LIU Jia-kun, CHEN Yun-ge, ZHANG Jia-lei
2017, 37(s1): 118-123. doi:10.15918/j.tbit1001-0645.2017.增刊1.023
Abstract(903) PDF(484)
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Artificial neural network which can stimulate the structure and function of the human brain is a kind of information processing system.The hardware realization of artificial neural network can make full use of the characteristics of large scale parallel processing of the neural network and promote the further development of the basic research of brain science.In this study,Integrate-and-Fire (IF) neuronal circuit was designed;the Spike-Timing Dependent Plasticity (STDP) mechanism was designed;the neuronal connection circuit based on STDP mechanism was built;the effects of STDP mechanism on the discharge characteristics of the neuronal circuit were analyzed.The result shows that:in the neuronal circuit based on the STDP mechanism,the synaptic weights will change and further affect the pulse release of the post-synaptic neurons when the pulse spike of the pre-synaptic and post-synaptic neuron has the time difference.
Study of the Weighted Brain Functional Network Based on the Sample Entropy under Magnetic Stimulation at Neiguan Acupoint
GUO Lei, WANG Da-shen, ZHANG Wei, YU Hong-li, YIN Ning, XU Gui-zhi
2017, 37(s1): 124-129. doi:10.15918/j.tbit1001-0645.2017.增刊1.024
Abstract(949) PDF(320)
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The construction and analysis of brain functional network can help to explore the working mechanism of brain.The therapeutic effectiveness of acupuncture was explored through the construction and analysis of brain functional network under magnetic stimulation at Neiguan(PC6)acupoint in this study.At present,a lot of related studies are devoted to the research of un-weighted network regardless the strength of connections among nodes to simplify the complexity of network computing.In this study,three kinds of Electroencephalograph(EEG)signal were recorded under pre-stimulated state,stimulated state and post-stimulated state at PC6 acupoint;weighted brain functional network was constructed by using sample entropy and mutual information theory;the topological features of weighted brain functional network for the three states were comparatively analyzed by using complex network theory.The experimental results show that the average degree,average clustering coefficient and global efficiency of the weighted brain functional network at stimulated states are increased compared to the pre-stimulated states;these topological features of network at stimulated states also show an increased trend compared to the pro-stimulated states;except that the topological feathers of the network for few subjects remain unchanged or decreased slightly,these topological features of the network for most subjects at pro-stimulated states show an increased trend compared to the pre-stimulated states and the increase rates of different subjects are different considering the cumulative effect of stimulation and individual differences.These results indicate that the connection strength of the network is enhanced,clustering of the network is increased,efficiency of information transmission is improved through stimulating PC6 acupoint
ResearchAnd Realization of the Indoor Positioning System Based on Android Platform
Li Jin, Wei Wen-bo, Meng Xiang-lian, Liang Hong, Cao Wen-bin
2017, 37(s1): 130-135. doi:10.15918/j.tbit1001-0645.2017.增刊1.025
Abstract(719) PDF(454)
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With the advancement of WiFi technology application,the market demand for location services is growing.In order to improve traditional positioning technology such as GPS,there is a low positioning accuracy,power consumption and other shortcomings used indoors.In this paper,the feature matching based on WiFi location of indoor positioning technology were studied,the influence of various factors on the WiFi signal was analyzed and the comparison of some commonly used localization algorithm,through the Gaussian filtering stage in the feature library establishment stage,the signal intensity values with larger error were eliminated to improve the data precision of the collected values in the database.In the positioning phase,an improved K-weighted neighbor method was used to avoid the positioning process of accidental signal fluctuations to the positioning error,an indoor positioning system based on the Android system and WiFi implementation were designed.
Method of Oxygen Saturation Detection for Wearable Smart Mobile Device
LI Bo-wen, Wang Qun, LIU Zhi-wen
2017, 37(s1): 136-140. doi:10.15918/j.tbit1001-0645.2017.增刊1.026
Abstract(678) PDF(216)
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A fast method of blood oxygen saturation detection for wearable smart mobile devices was proposed.Based on the no-correlated relationship between the pulse component of photoplethysmography and the noise component,the noise can be suppressed and the blood oxygen saturation can be calculated.The method has been verified by processing the low perfusion signal from the blood oxygen simulator.The results show that this method has a small amount of calculation with good anti-noise ability.It can accurately detect the blood oxygen saturation from weak signals with noise.
Design and Implementation of a Wearable Wrist-Type Band for Heart Rate Monitoring in Motion Status
WANG Yang, LIU Zhi-wen, DONG Bin
2017, 37(s1): 141-145. doi:10.15918/j.tbit1001-0645.2017.增刊1.027
Abstract(837) PDF(589)
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Due to the interference caused by motion artifact (MA),it is difficult to acquire accurate results of heart rate (HR) through reflective Photoplethysmography (PPG).A wrist-type band for heart rate monitoring was proposed in this paper.The band was integrated with a reflective PPG sensor and a tri-axial accelerometer for pulse and motion acquisition.HR calculation was realized by using motion status analysis,adaptive noise cancellation and spectral peak searching.5 subjects participated in the experiments of HR monitoring.HR from Electrocardiograph (ECG) was also recorded simultaneously.The results indicated that the two approaches had a good coherence.The proposed wrist-type band can effectively suppress MA interference and realize accurate HR monitoring.
The Motion Control of Prostate Biopsy Robot
QIN Yao, ZHANG Xu-ming
2017, 37(s1): 146-150. doi:10.15918/j.tbit1001-0645.2017.增刊1.028
Abstract(746) PDF(343)
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To overcome the disadvantage of the traditional manual biopsy,a robot model with multiple degrees of freedom was designed.According to the precision demand of the biopsy,the position adjustment and the transmission mode was settled down.The 3D model of the surgical robot was designed based on Solidworks modelling and the D-H matrix was determined.The simulation of the workspace of the robot was constracted with SimMechanics toolbox in Matlab.The simulation results demonstrate that the design of the robot was reasonable and it can satisfy the working space requirement of the prostate biopsy surgery.Compared with the prostate biopsy by doctors,the surgery robot based biopsy is higher precision,better flexibility,thereby reducing the difficulty of surgery by doctors.Indeed,surgery robot is very significant for improving the positive biopsy rate of the prostate cancer.
Construction and Analysis of the Brain Network Simulation Platform Based on Matlab GUI
XU Gui-zhi, ZHANG Ying-xue, GUO Miao-Miao
2017, 37(s1): 151-155. doi:10.15918/j.tbit1001-0645.2017.增刊1.029
Abstract(700) PDF(282)
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In order to facilitate scientific research and medical diagnosis, it is necessary to build an intuitive and friendly foundation platform for researching the brain network.The main frame of the platform was built based on Matlab GUI, and an example on the platform of network construction was given, analysis and display using EEG(electro encephalogram) signals during stimulating the Zusanli acupoint.This results show that the platform based on Matlab GUI is not only user-friendly, but also very convenient for processing and analyzing EEG data.This project will contribute for future research of brain network.
Vessel Segmentation in Fundus Images Based on Hessian Matrix and Entropy
WANG Hui-qian, PANG Yu, LIN Jin-zhao, LI Zhang-yong, JIANG Xiao-ming, JIANG Yu-hao
2017, 37(s1): 156-160. doi:10.15918/j.tbit1001-0645.2017.增刊1.030
Abstract(890) PDF(259)
Abstract:
Vessel segmentation is critical to image processing of fundus images,which is precursor and essential first step to further analysis and diagnosis of diseases.However,this remains a challenge due to the noise and intensity variation in the background of fundus images.In this study,we propose a novel vessel segmentation approach using Hessian-based linear filter and entropic thresholding method to automatically segment vessels on fundus images.Firstly we adapt multi-scale linear filtering based on Hessian matrix to enhance vessels.Further,we generate a novel two-dimensional histogram to capture gray level and directional average gray level of linear neighborhood in results from filtering,and then the threshold values are determined by the maximum class entropies according to this histogram.Finally,the binary segmentation results for the vessels are achieved.The experiments demonstrate that,compared with two other methods,the proposed method can automatically yield more complete and accurate results.
Toxicologlical Study on the Chinese Medicine Health Food of Curcumae Longae and Ganoderma
LU Zi-jia, SHI Meng-meng, XIE Yao
2017, 37(s1): 161-168. doi:10.15918/j.tbit1001-0645.2017.增刊1.031
Abstract(769) PDF(237)
Abstract:
Acute toxicity test in mice,genetic toxicity test (Ames test,mice bone marrow cell micronucleus test and mice sperm abnormality test),and 30 days feeding test in rats were conducted to study the toxicology of the Chinese medicine health food.The Chinese medicine health food was made up of curcumae longae,ganoderma and other materials.The results showed that the MTD of the tested were more than 30 000 mg/kg BW,acute toxicity was no toxicity;the three genetic toxicity tests were all negative;in 30 days feeding test,each dose group rats grew well,blood routine indexes,blood biochemical indexes and histological examination etc.were no abnormal changes related to the sample.It was concluded that the Chinese medicine health food of curcumae longae and ganoderma was safe under the test dose.
Auditory Brain-Computer Interfaces Based on Bone Conduction
WANG Lei, ZHANG Ying, GUO Miao-miao, YANG Shuo, QU Lei
2017, 37(s1): 169-174. doi:10.15918/j.tbit1001-0645.2017.增刊1.032
Abstract(1089) PDF(395)
Abstract:
Auditory brain-computer interfaces (BCIs) provide a means of non-muscular communication for locked-in state (LIS) patients who have compromised vision or lose the control of their eye movement.The bone-conduction paradigm was introduced into the auditory brain computer interface technology,so that patients with impaired air conduction pathway can also use this technology.It designs a dichotic listening paradigm by playing different sound stimulation sequences to both ears at the same time.The feature extraction and classification of EEG signals induced by bone conduction and air conduction.The results showed that targets elicited N200 and P300 component.EEG data has shown that the amplitude of N200 elicited by bone condition target was significantly higher than that of air condition target ones.These proposed methods both have high discriminant accuracy,the bone-conduction method is better than the air conduction method and can be used for auditory brain computer interface systems.
Aptamer Selecion for Escherichia Coli
ZHANG Cong-xiao, LV Xue-fei, YU Shi-yong, Qing Hong, DENG Yu-lin
2017, 37(s1): 175-178. doi:10.15918/j.tbit1001-0645.2017.增刊1.033
Abstract(924) PDF(265)
Abstract:
The traditional methods of microbial detection usually have shortcomings including cumbersome steps,consuming time and high cost,so developing rapid and effective detection of new technologies and methods for microbial detection is particularly necessary.In this paper,whole-cell SELEX technique was used to screen the aptamers of living cells of Escherichia coli.It is investigated of the preparation of single-stranded DNA,the detection of nucleic acid library for each round of screening,and the cloning of aptamers of nucleic acid.Single stranded DNA was successfully prepared in the screening process,and the aptamer library was monitored in each cycle of the selection to ensure the quantity of the screening.The aptamers was amplified and cloned to obtain the nucleic acid sequence targeted to Escherichia coli.This will facilitate the establishment of a new method for microbial detection based on nucleic acid aptamers.
In Vivo Study on the Monoamine Compounds in Rat Nucleus Accumbens Exposed to Nicotine by Online Microdialysis Coupled with Electrochemical Detector
MAO Jian, XU Yan, HONG Guang-feng, HE Sheng-bao, ZHANG Wen-juan, HUO Xian-kuan, CHAI Guo-bi, LU Bin-bin, ZHANG Qi-dong, LI Peng, SUN Shi-hao
2017, 37(s1): 179-184. doi:10.15918/j.tbit1001-0645.2017.增刊1.034
Abstract(730) PDF(294)
Abstract:
To investigate potential mechanism of nicotine dependence, online microdialysis sampling coupled with electrochemical detector was applied to study the contents of dopamine (DA), 3,4-dihydroxyphenyl acetic acid (DOPAC), homovanillic acid (HVA), serotonin (5-HT) and 5-hydroxylindole acetic acid (5-HIAA) in the nucleus accumbens of alive rats exposed to nicotine.Dialysates were collected every 15 min at a flow rate of 1.5μL/min and separated immediately under the gradient elution condition.After nicotine administration (1.0 mg/kg, s.c.), the release of DA and 5-HT increased significantly, and the metabolites DOPAC, HVA and 5-HIAA were raised continuously.In nicotine-dependence rats, 3.0 mg/kg nicotine injection could stimulate the equivalent release of DA, 5-HT and their metabolites.The results provide an alternative approach and data reference for studying the mechanism of nicotine dependence.
Robust Fetal Heart Rate Estimation for Single-Channel Mother Abdominal ECG Recording
LI Guo-jun, BAO Yang, YE Chang-rong, QIAO Jin-liang
2017, 37(s1): 185-190. doi:10.15918/j.tbit1001-0645.2017.增刊1.035
Abstract(769) PDF(380)
Abstract:
With the rapid increase of high-risk pregnancy cases in recent years, household on-line fetal monitoring becomes a major issue in the field of perinatally maternal and child care.The fetal electrocardiogram (ECG), which is indirectly recorded from the surface of maternal abdomen, is completely noninvasive, easy to operate and especially suitable for remote household fetal monitoring.However, the signal-to-noise ratio (SNR) of fetal ECG from maternal abdomen is extremely low, and the separation algorithm to extract fetal ECG is very complex.Based on the dynamical modeling in stochastic system and estimation theory, this paper analyzes and studies the basic characteristics of abdominal fetal ECG, makes full use of its dynamical change rule, builds the dynamical space model of abdominal fetal ECG, and puts forward a new kind of low-complexity robust estimation algorithm for single-channel fetal heart rate.Thanks to the simplicity of this algorithm on electrode configuration and its recursion, it is possible for local clients to get online estimation of fetal heart rate, thus is suitable for dynamical monitoring of fetal heart rate at home.
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