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Application of Fiber Optic Biosensor in Detection of Sports Analeptic 光纤生物传感器在运动镇痛药检测中的应用
Q4 Agricultural and Biological Sciences Pub Date : 2018-12-01 DOI: 10.7546/ijba.2018.22.4.301-314
Yong Liu
To improve the efficiency and accuracy of analeptic detection in competitive sports, a new kind of optical fiber biosensor is proposed. The competition law and the ligand binding theory are applied, and according to the combination proportion of competitive molecular of analeptic molecules and its fluorescence labeled in the receptor, the information of analeptic molecular content is transformed into fluorescence signal intensity. The results showed that the lowest concentration of the estrogen and androgen that can be detected by the fiber optic biosensor is 10 mol/L; physical response time is less than 0.1 seconds; the system error for repeating the experiment is less than 0.25%; agarose SAMs can be saved more than 30 d at -4 oC light avoidance condition. It is concluded that the sensor has good reliability, accuracy, stability and repeatability as well as high sensitivity so that it is especially suitable for the screening detection of analeptic.
为了提高竞技体育中安眠药检测的效率和准确性,提出了一种新型光纤生物传感器。应用竞争规律和配体结合理论,根据镇痛药分子的竞争分子与其在受体中标记的荧光的组合比例,将镇痛药分子含量信息转化为荧光信号强度。结果表明,光纤生物传感器能检测到的雌激素和雄激素的最低浓度为10 mol/L;物理响应时间小于0.1秒;重复实验的系统误差小于0.25%;琼脂糖sam在-4℃避光条件下可保存30 d以上。结果表明,该传感器具有良好的可靠性、准确性、稳定性和重复性以及较高的灵敏度,特别适用于抗癫痫药物的筛选检测。
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引用次数: 1
Biomedical Signal Acquisition of Hepatobiliary and Portal Vein Before and After Exercise 运动前后肝胆门静脉的生物医学信号采集
Q4 Agricultural and Biological Sciences Pub Date : 2018-12-01 DOI: 10.7546/IJBA.2018.22.4.315-324
X. Zhao
In clinical medicine, the research on the hepatobiliary system was proved successfully. In the field of sports medicine, there was little knowledge about the morphological changes, blood distribution, physiological and biochemical as well as pathological changes in the liver, gallbladder and portal vein during exercise. Therefore, studying the function of hepatobiliary system in sports was a problem worthy of attention in sports medicine, and it was also a scientific field that should be urgently studied. Taking exercise-induced abdominal pain as an example, in exercise-induced abdominal pain, the right upper abdominal pain was mainly caused by changes in liver, gallbladder and portal vein. Based on sports medicine, there was little research on the liver, gallbladder and portal vein systems, and the incidence of right upper abdominal pain during exercise was high. The actual mechanism and etiology of the disease still needed to be further confirmed. For this reason, this sports discomfort became the focus of this study. In addition, a safe and effective color Doppler instrument was used to measure the liver and gallbladder and portal vein. The liver, gallbladder and portal vein data before and after exercise were recorded. Based on preliminary experiments and practical results of small samples, it was demonstrated that the liver was ischemic during exercise. It is concluded that this study can lay a foundation for the future research on the liver and biliary portal system, and it is expected to provide safe, non-invasive, reliable, and new indicators for the medical supervision of sports medicine.
在临床医学中,对肝胆系统的研究是成功的。在运动医学领域,对运动过程中肝、胆、门静脉的形态变化、血液分布、生理生化及病理变化了解甚少。因此,研究运动中肝胆系统的功能是运动医学中值得关注的问题,也是亟待研究的科学领域。以运动性腹痛为例,在运动性腹痛中,右上腹部疼痛主要由肝、胆囊和门静脉的改变引起。以运动医学为基础,对肝胆门静脉系统的研究较少,运动时右上腹部疼痛的发生率较高。本病的发病机制和病因还有待进一步确认。因此,这种运动不适感成为本研究的重点。此外,采用安全有效的彩色多普勒仪测量肝胆及门静脉。记录运动前后肝脏、胆囊、门静脉数据。基于前期实验和小样本的实际结果,证明了运动过程中肝脏是缺血的。综上所述,本研究可为今后肝脏及胆道门静脉系统的研究奠定基础,并有望为运动医学的医学监督提供安全、无创、可靠的新指标。
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引用次数: 2
Application of Graphene Nanocomposite in Motion Sensing of Human Body 石墨烯纳米复合材料在人体运动传感中的应用
Q4 Agricultural and Biological Sciences Pub Date : 2018-12-01 DOI: 10.7546/ijba.2018.22.4.349-362
Dong-Hee Han, Yingxue Chen
For exploring the application of graphene nano-composite, graphene is combined with other nano-materials to develop a new graphene nano-composite with high conductivity, good biocompatibility and strong affinity for enzymes, which improved the working performance of sensors in human motion sensing. Graphene oxide (GO) is prepared by using Hummers and offeman methods, and graphene is prepared from graphene oxide with glucose as a reducing agent. On the basis of electro-deposition of Prussian blue chitosan (PB-CS) film modified gold electrode, a new nano material graphene is introduced, and glucose oxidase as a model enzyme, a glucose biosensor based on RGO/PB-CS nano-composite is constructed. The research results showed that the sensor constructed has higher sensitivity, lower detection limit and smaller apparent Michaelis constant. To sum up, the combination of graphene and Prussian blue chitosan effectively promoted the electron transfer between the electrode surface and the analytical substrate, and improved the working performance of the sensor, which has potential application value in human motion sensing.
为了探索石墨烯纳米复合材料的应用,将石墨烯与其他纳米材料相结合,开发出一种导电性高、生物相容性好、对酶亲和力强的新型石墨烯纳米材料,提高了传感器在人体运动传感中的工作性能。氧化石墨烯(GO)是用Hummers和offeman方法制备的,石墨烯是由氧化石墨烯和葡萄糖作为还原剂制备的。在电沉积普鲁士蓝壳聚糖(PB-CS)膜修饰金电极的基础上,介绍了一种新型的纳米材料石墨烯,并以葡萄糖氧化酶为模型酶,构建了基于RGO/PB-CS纳米复合材料的葡萄糖生物传感器。研究结果表明,所构建的传感器具有较高的灵敏度、较低的检测限和较小的表观米氏常数。综上所述,石墨烯与普鲁士蓝壳聚糖的结合有效地促进了电极表面与分析基体之间的电子转移,提高了传感器的工作性能,在人体运动传感中具有潜在的应用价值。
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引用次数: 1
Design of Human Motion Signal Gathering System Based on USB 2.0 基于USB2.0的人体运动信号采集系统的设计
Q4 Agricultural and Biological Sciences Pub Date : 2018-12-01 DOI: 10.7546/ijba.2018.22.4.325-336
Yongheng Bai
In order to design a human motion signal acquisition system, through the virtual hardware platform, the firmware and the driver program of the data acquisition system are designed, so it can run in computers with Windows 7 and Lab Windows/CVI platform. At the same time, the 12-bit A/D conversion chip with high sampling rate and high precision is used for A/D conversion circuit design. In addition, the multi-channel technology is used to realize A/D conversion of multiplexing signal, which improves the measurement accuracy of the system. The results showed that this research implemented the advantages of USB 2.0 interface, improved the data serial transmission speed and met the high data throughput requirements. To sum up, the system achieves the design of human motion signal acquisition system with high efficiency, convenience, low cost and high-performance price ratio.
为了设计一个人体运动信号采集系统,通过虚拟硬件平台,设计了数据采集系统的固件和驱动程序,使其能够在Windows 7和Lab Windows/CVI平台的计算机上运行。同时,采用高采样率、高精度的12位A/D转换芯片进行A/D转换电路设计。此外,采用多通道技术实现多路复用信号的A/D转换,提高了系统的测量精度。结果表明,本研究实现了USB2.0接口的优势,提高了数据串行传输速度,满足了高数据吞吐量的要求。综上所述,该系统实现了高效、方便、低成本、高性价比的人体运动信号采集系统的设计。
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引用次数: 1
Optimization of Continuous Bioconversion Process of Glycerol to 1,3-Propanediol 甘油制1,3-丙二醇连续生物转化工艺的优化
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/IJBA.2018.22.3.199-212
Gongxian Xu, Dan Wang, Caixia Li
This paper addresses the optimization of continuous bioconversion process of glycerol to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae. The studied bioprocess is a complex nonlinear system that involves the gene regulation for dha regulon, enzymecatalytic kinetics on the reductive pathway, the active transport of glycerol and (passive) diffusion of 1,3-PD across the cell membrane, and the inhibition of glycerol dehydratase (GDHt) and 1,3-propanediol oxidoreductase (PDOR) by 3-hydroxypropionaldehy (3-HPA). We first propose a nonlinear optimization model that can maximize the production rate of 1,3-PD. Then the optimal solution of this optimization problem is obtained by using an interior point method. In this approach a sequence of barrier problems are solved iteratively. We finally obtain the maximum production rate of 1,3-PD increased more than 22.86 times its initial value.
本文研究了肺炎克雷伯菌连续生物转化甘油制1,3-丙二醇(1,3-PD)的工艺优化。所研究的生物过程是一个复杂的非线性系统,涉及dha调节子的基因调控、还原途径上的酶催化动力学、甘油的主动转运和1,3-丙二醇在细胞膜上的(被动)扩散,以及3-羟基丙酸(3-HPA)对甘油脱水酶(GDHt)和1,3丙二醇氧化还原酶(PDOR)的抑制。我们首先提出了一个非线性优化模型,该模型可以最大化1,3-PD的产率。然后利用内点法得到了该优化问题的最优解。在这种方法中,一系列屏障问题被迭代求解。我们最终获得了1,3-PD的最大产率,该产率是其初始值的22.86倍以上。
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引用次数: 2
Locally-adaptive Myriad Filtration of One-dimensional Complex Signal 一维复信号的局部自适应Myriad滤波
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/IJBA.2018.22.3.275-296
N. Tulyakova, T. Neycheva, O. Trofymchuk, O. Stryzhak
Locally-adaptive algorithms of myriad filtering are proposed with adaptation of a sample myriad linearity parameter K, depending upon local estimates of a signal, and with “hard” switching of sliding window length settings and a coefficient which influences on the parameter K. Statistical estimates of the filters quality are obtained using a criterion of a minimum mean-square error for a model of one-dimensional complex signal that includes different elementary segments under conditions of additive Gaussian noise with zero mean and different variances and possible spikes presence. Improvement of integral and local performance indicators is shown in comparison to the highly effective non-linear locally-adaptive algorithms for the considered test signal. Having a complex signal of high efficiency, one of the proposed algorithms provides nearly optimal noise suppression at the segments of linear change of a signal; other algorithm provides higher quality of step edge preservation and the best noise suppression on a const signal. Better efficiency in cases of low and high noise levels is achieved by preliminary noise level estimation through comparison of locally-adaptive parameter and thresholds. It is shown that, in order to ensure better spikes removal, it is expedient to pre-process the signal by robust myriad filter with small window length. The considered adaptive nonlinear filters have possibility to be implemented in a real time mode.
根据信号的局部估计,通过对样本无数线性参数K的自适应,以及滑动窗口长度设置和影响参数K的系数的“硬”切换,提出了无数滤波的局部自适应算法。滤波器质量的统计估计是使用一维复信号模型的最小均方误差标准来获得的,该模型包括在具有零均值和不同方差以及可能存在尖峰的加性高斯噪声的条件下的不同基本段。与所考虑的测试信号的高效非线性局部自适应算法相比,显示了积分和局部性能指标的改进。具有高效率的复杂信号,所提出的算法之一在信号的线性变化段处提供几乎最优的噪声抑制;其他算法提供了更高质量的阶跃边缘保持和对const信号的最佳噪声抑制。在低噪声水平和高噪声水平的情况下,通过比较局部自适应参数和阈值的初步噪声水平估计实现了更好的效率。结果表明,为了保证更好地去除尖峰,采用小窗口长度的鲁棒无数滤波器对信号进行预处理是有利的。所考虑的自适应非线性滤波器有可能以实时模式实现。
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引用次数: 3
Adaptive Meshing Based on the Multi-level Partition of Unity and Dynamic Particle Systems for Medical Image Datasets 基于统一和动态粒子系统多层次划分的医学图像数据集自适应网格划分
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/IJBA.2018.22.3.229-238
Zhong Chen, Zhiwei Hou, Quanquan Yang, Xiaobing Chen
Surface meshes extracted from sparse medical images contain surface artifacts, there will produce serious distortion and generate numerous narrow triangle meshes. In order to eliminate the impact of the above factors, this paper presents a novel method for generating smooth and adaptive meshes from medical image datasets. Firstly, extracting the stack of contours by means of image segmentation and translating the contours into point clouds. The improved Multi-level Partition of Unity (MPU) implicit functions are used to fit the point clouds for creating the implicit surface. Then, sampling implicit surface through dynamic particle systems based on Gaussian curvature, dense particles sampling in the high curvature region, sparse particles sampling in the low curvature region. Finally, generating triangle meshes based on particle distribution by using the Delaunay triangulation algorithm. Experimental results show that the proposed method can generate high-quality triangle meshes with distributed adaptively and have a nice gradation of triangle mesh density on the surface curvature.
从稀疏医学图像中提取的表面网格含有表面伪影,会产生严重的失真,产生大量的窄三角形网格。为了消除上述因素的影响,本文提出了一种从医学图像数据集中生成平滑自适应网格的新方法。首先,通过图像分割的方法提取出一组轮廓,并将其转换为点云。使用改进的多级单位划分(MPU)隐式函数来拟合点云,以创建隐式曲面。然后,通过基于高斯曲率的动态粒子系统对隐式曲面进行采样,在高曲率区域进行密集粒子采样,在低曲率区域进行稀疏粒子采样。最后,利用Delaunay三角剖分算法生成基于粒子分布的三角形网格。实验结果表明,该方法能够自适应地生成高质量的分布三角形网格,并且三角形网格密度对曲面曲率具有良好的渐变性。
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引用次数: 0
Research on Exploring the Patients’ Hiding Disease Based on Symptom Weighted Clustering Technique 基于症状加权聚类技术的患者隐蔽性疾病探索研究
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/ijba.2018.22.3.263-274
Yingying Peng, Ga-Eon Yi
The research regards the diagnostic data of the patients’ disease as the mining data source. Each diagnostic data includes patients’ symptom and sickness. The paper regards a certain patient as the mining target, considering the symptom weighted situation, using the clustering method in the data mining to dig the tendency of patients’ disease. In addition, the paper combines a group center formed by the patients’ symptom and designs a symptom weighted clustering method to satisfy the diagnostic data of minimal symptom similarity which belongs to the clustering. Later, the disease item whose number is the maximum can be found out in the clustering and the tendency of patients’ sickness. The methods proposed in the paper design and build a diagnostic system of patients’ sickness. The mining results of system can offer some useful referent information for those people check the sickness tendency of patients’ disease or those medical staff whose clinical experience is not enough confirms the disease diagnosis.
本研究将患者疾病的诊断数据作为挖掘数据源。每项诊断数据都包括患者的症状和疾病。本文以某患者为挖掘对象,考虑症状加权情况,利用数据挖掘中的聚类方法挖掘患者的疾病趋势。此外,结合患者症状形成的群中心,设计了一种症状加权聚类方法,以满足属于聚类的症状相似度最小的诊断数据。然后在聚类和患者患病趋势中找出数量最大的疾病项目。本文提出的方法设计并构建了一个患者疾病诊断系统。系统的挖掘结果可以为检查患者疾病的患病倾向或临床经验不足的医务人员确定疾病诊断提供有用的参考信息。
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引用次数: 1
Effect of Proactive Mode of Processing on Event-related Oscillatory Brain Responses in Children 主动处理模式对儿童事件相关振荡脑反应的影响
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/ijba.2018.22.3.253-262
Plamenka Nanova, V. Kolev, J. Yordanova
Proactive cognition is characterized by the formation and active maintenance of an internal task representation. The aim of this study was to explore if the internal task representation might affect the processing of incoming stimuli. For that aim, the effects of proactive and reactive modes of processing on sensory and cognitive information processing were compared by using event-related oscillatory responses in a developmental model. Thirty six children aged 7-10 years were studied in a sensorimotor task with fixed stimulus sequences. Children were divided into two groups according to their proactive or reactive mode. Auditory event-related potentials were recorded and decomposed in the time-frequency domain to analyze amplitude and phase synchronization of oscillatory responses. Major results demonstrated that proactive mode of processing was characterized by enhanced pre-stimulus theta activity accompanied by a significant decrease of the temporal synchronization of event-related theta/alpha oscillations in the first 300 ms after stimulus. These results provide evidence that maintaining internal task representations in working memory engages oscillatory circuits, which can modulate the processing of incoming sensory information.
主动认知的特点是形成并积极维护内部任务表征。本研究的目的是探讨内部任务表征是否会影响传入刺激的处理。为此,通过在发育模型中使用事件相关振荡反应,比较了主动和反应处理模式对感觉和认知信息处理的影响。36名7-10岁的儿童在具有固定刺激序列的感觉运动任务中进行了研究。根据儿童的主动或被动模式,将他们分为两组。在时频域中记录和分解听觉事件相关电位,以分析振荡响应的振幅和相位同步。主要结果表明,主动处理模式的特征是在刺激后的前300ms内,刺激前θ活动增强,同时事件相关θ/α振荡的时间同步显著降低。这些结果提供了证据,证明在工作记忆中保持内部任务表征涉及振荡电路,振荡电路可以调节传入感官信息的处理。
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引用次数: 1
Infusion Monitoring Communication Model of Smart Home Based on Coloured Petri Net 基于彩色Petri网的智能家居输液监测通信模型
Q4 Agricultural and Biological Sciences Pub Date : 2018-09-01 DOI: 10.7546/IJBA.2018.22.3.239-252
Xin-Liang Wang, Qing-Gai Huang
Abstract: When patients need to be for infusion at home, there is no central control server in hospital, and it is not possible to add additional monitoring equipment; at the same time, there may not be a special person to care for patients. The infusion monitoring communication model of smart home based on coloured Petri net, which is proposed in this paper, can use smart mobile phone to construct an adaptive infusion monitoring system at home. The model can make infusion alarm module automatically search for smart mobile phone terminals in a WiFi network, complete the search, identification, monitoring and other functions. It will constitute a smart phone infusion monitoring network so that infusion online monitoring could effectively be completed at home without adding additional equipment. The simulation result shows that regardless of whether there is a packet loss, as long as there is a smart mobile phone terminal and the corresponding infusion alarm module in the network, the model can make the infusion alarm module to realize automatic search function and infusion monitoring function, and provide better medical service for the smart home.
摘要:当患者需要在家输液时,医院没有中央控制服务器,也不可能增加额外的监测设备;同时,可能没有一个专门的人来照顾病人。本文提出的基于彩色Petri网的智能家居输液监测通信模型,可以利用智能手机构建一个自适应的家庭输液监测系统。该模型可以使输液报警模块在WiFi网络中自动搜索智能手机终端,完成搜索、识别、监控等功能。它将构成一个智能手机输液监测网络,以便在家中有效地完成输液在线监测,而无需添加额外的设备。仿真结果表明,无论是否发生丢包,只要网络中有智能手机终端和相应的输液报警模块,该模型就能使输液报警模块实现自动搜索功能和输液监测功能,为智能家居提供更好的医疗服务。
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引用次数: 1
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International Journal Bioautomation
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