Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071799
L. Boubchir, S. Al-Maadeed, A. Bouridane
This paper presents novel time-frequency (t-f) features based on t-f image descriptors for the automatic detection and classification of epileptic seizure activities in EEG data. Most previous methods were based only on signal-related features derived from the instantaneous frequency and the energies of EEG signals generated from different spectral sub-bands. The proposed features are extracted from the t-f representation of EEG signals which are processed as a textured image using Haralick's texture descriptors. The proposed descriptors are capable to describe visually the epileptic seizure patterns observed in t-f image of EEG signals. The results obtained on real EEG data show that the use of the proposed features improves significantly the performance of the EEG seizure detection and classification by achieving a total classification accuracy up to 99% for 140 EEG segments using one-againt-one SVM classifier.
{"title":"Haralick feature extraction from time-frequency images for epileptic seizure detection and classification of EEG data","authors":"L. Boubchir, S. Al-Maadeed, A. Bouridane","doi":"10.1109/ICM.2014.7071799","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071799","url":null,"abstract":"This paper presents novel time-frequency (t-f) features based on t-f image descriptors for the automatic detection and classification of epileptic seizure activities in EEG data. Most previous methods were based only on signal-related features derived from the instantaneous frequency and the energies of EEG signals generated from different spectral sub-bands. The proposed features are extracted from the t-f representation of EEG signals which are processed as a textured image using Haralick's texture descriptors. The proposed descriptors are capable to describe visually the epileptic seizure patterns observed in t-f image of EEG signals. The results obtained on real EEG data show that the use of the proposed features improves significantly the performance of the EEG seizure detection and classification by achieving a total classification accuracy up to 99% for 140 EEG segments using one-againt-one SVM classifier.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115268788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071842
Sultan A. Alqarni, A. Kamal
This paper presents an LVDS receiver compatible with ANSI and IEEE standards at 1.5 Gbps. The proposed receiver aims to be compatible with the standard over PVT corners and to have optimized power consumption using 150nm technology with two voltage supplies 3.3 and 1.8V. The receiver design methodology is explained and where is the critical specifications of the standard to be met for other different designs. The presented design consumes 7mW at 1.5Gbps.
{"title":"LVDS receiver with 7mW consumption at 1.5 Gbps","authors":"Sultan A. Alqarni, A. Kamal","doi":"10.1109/ICM.2014.7071842","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071842","url":null,"abstract":"This paper presents an LVDS receiver compatible with ANSI and IEEE standards at 1.5 Gbps. The proposed receiver aims to be compatible with the standard over PVT corners and to have optimized power consumption using 150nm technology with two voltage supplies 3.3 and 1.8V. The receiver design methodology is explained and where is the critical specifications of the standard to be met for other different designs. The presented design consumes 7mW at 1.5Gbps.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115993177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071811
J. Miguel, Y. Lechuga, Mar Martínez, S. Bracho
Implantable biomedical devices generally comprise MEMS-type sensors used to acquire physiological signals, as well as CMOS electronics to perform powering, signal conditioning and data transmission. Among their requirements, reliability over an extended period of time ought to be spotlighted. Thus, modeling and realistic fault injection is essential to improve their long-term results. This work targets the development of a fault model for MEMS capacitive pressure sensors, to be part of smart stents with arterial blockage detection capabilities. The deflection profile of circular and square-shaped diaphragms under fault-free conditions has been analytically modeled. However, analytical models are inaccurate to describe the behavior of diaphragms under faulty conditions, which alter the geometry or material properties of the sensor. In these cases, the use of FE analysis tools is necessary to build a realistic fault model library, together with a comprehensive MEMS testing approach.
{"title":"Modeling of faulty implantable MEMS pressure sensors","authors":"J. Miguel, Y. Lechuga, Mar Martínez, S. Bracho","doi":"10.1109/ICM.2014.7071811","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071811","url":null,"abstract":"Implantable biomedical devices generally comprise MEMS-type sensors used to acquire physiological signals, as well as CMOS electronics to perform powering, signal conditioning and data transmission. Among their requirements, reliability over an extended period of time ought to be spotlighted. Thus, modeling and realistic fault injection is essential to improve their long-term results. This work targets the development of a fault model for MEMS capacitive pressure sensors, to be part of smart stents with arterial blockage detection capabilities. The deflection profile of circular and square-shaped diaphragms under fault-free conditions has been analytically modeled. However, analytical models are inaccurate to describe the behavior of diaphragms under faulty conditions, which alter the geometry or material properties of the sensor. In these cases, the use of FE analysis tools is necessary to build a realistic fault model library, together with a comprehensive MEMS testing approach.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122333707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071809
Orlando Verducci, P. Crepaldi, L. Zoccal, T. Pimenta
This paper describes the development of an evolutionary algorithm, the use of genetic algorithm to automatically synthesize analog circuits. The context of the project is the development of passive RLC filters of up to three components, by choosing cutoff frequency and type of filters (low pass, high pass, band pass or notch). The evaluation of each solution was performed by calculating the circuit voltages by nodal analysis for the various possible topologies without the use of simulators or programmable hardware. The proposed genetic algorithm was fully developed on object-oriented language, Java, from a class diagram that shows the relationships between population, individual (candidate circuit), chromosome (genetic representation of the circuit), selection method, crossover, mutation, evaluation of the individual (quality of the circuit), among other classes.
{"title":"Synthesis of passive filter using object oriented genetic algorithm","authors":"Orlando Verducci, P. Crepaldi, L. Zoccal, T. Pimenta","doi":"10.1109/ICM.2014.7071809","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071809","url":null,"abstract":"This paper describes the development of an evolutionary algorithm, the use of genetic algorithm to automatically synthesize analog circuits. The context of the project is the development of passive RLC filters of up to three components, by choosing cutoff frequency and type of filters (low pass, high pass, band pass or notch). The evaluation of each solution was performed by calculating the circuit voltages by nodal analysis for the various possible topologies without the use of simulators or programmable hardware. The proposed genetic algorithm was fully developed on object-oriented language, Java, from a class diagram that shows the relationships between population, individual (candidate circuit), chromosome (genetic representation of the circuit), selection method, crossover, mutation, evaluation of the individual (quality of the circuit), among other classes.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122185046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071831
F. Touati, Claudio Legena, Alessio Galli, D. Crescini, P. Crescini, A. B. Mnaouer
Wireless sensor networks (WSNs) devoted to environmental monitoring has preponderantly assumed the adoption of a portable and limited energy source, (e.g. lithium, alkaline, NiMH batteries), to support the sensor functionalities. The usage of environmental resources as energy booster is now rising up as a workable energy source dedicated to embedded and wireless computing systems where manual replacement of hundreds or even thousands of batteries on a regular basis is not practical. Consequently, substantial research efforts have been spent on designing energy-efficient smart sensor nodes and networks to maximize the lifetime of WSNs. However, in air quality monitoring systems sensors are required to operate for much longer durations (like years or even decades) after they are deployed. Following the above approach this paper presents SENNO (SENsor NOde), a renewable energy-harvested sensor node that intelligently manages energy transfer for continuous operation without human intervention during air quality monitoring. This paper discusses the challenges of designing an autonomous system powered by ambient energy harvesting. Preliminary results show that, the presented approach could effectively report and trace air quality levels.
{"title":"Renewable energy-harvested sensor systems for air quality monitoring","authors":"F. Touati, Claudio Legena, Alessio Galli, D. Crescini, P. Crescini, A. B. Mnaouer","doi":"10.1109/ICM.2014.7071831","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071831","url":null,"abstract":"Wireless sensor networks (WSNs) devoted to environmental monitoring has preponderantly assumed the adoption of a portable and limited energy source, (e.g. lithium, alkaline, NiMH batteries), to support the sensor functionalities. The usage of environmental resources as energy booster is now rising up as a workable energy source dedicated to embedded and wireless computing systems where manual replacement of hundreds or even thousands of batteries on a regular basis is not practical. Consequently, substantial research efforts have been spent on designing energy-efficient smart sensor nodes and networks to maximize the lifetime of WSNs. However, in air quality monitoring systems sensors are required to operate for much longer durations (like years or even decades) after they are deployed. Following the above approach this paper presents SENNO (SENsor NOde), a renewable energy-harvested sensor node that intelligently manages energy transfer for continuous operation without human intervention during air quality monitoring. This paper discusses the challenges of designing an autonomous system powered by ambient energy harvesting. Preliminary results show that, the presented approach could effectively report and trace air quality levels.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132755699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071851
A. Massoud, L. Ben‐Brahim, A. Hamid, B. Williams, D. Holliday
Power passive filters are a standard solution for grid-current harmonics attenuation. However, these types of filters may cause a resonance between the inverter and the grid. Passive and active damping techniques are employed for resonance ttenuation. Efficiency concerns have set active damping techniques as promising solution for the resonance problem compared to the passive damping techniques. In this paper, the characteristics, performance, and effect of different active damping schemes applied to an LLCL passive power filter interfacing a three-phase voltage source inverter (VSI) to the grid is investigated. Stablity analysis is conducted for the LLCL-based grid-connected VSI. The presented concept has been elucidated by simulation results using Matlab/Simulink platform.
{"title":"Stability analysis of an active-damped LLCL filter- based grid-connected three-phase inverter","authors":"A. Massoud, L. Ben‐Brahim, A. Hamid, B. Williams, D. Holliday","doi":"10.1109/ICM.2014.7071851","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071851","url":null,"abstract":"Power passive filters are a standard solution for grid-current harmonics attenuation. However, these types of filters may cause a resonance between the inverter and the grid. Passive and active damping techniques are employed for resonance ttenuation. Efficiency concerns have set active damping techniques as promising solution for the resonance problem compared to the passive damping techniques. In this paper, the characteristics, performance, and effect of different active damping schemes applied to an LLCL passive power filter interfacing a three-phase voltage source inverter (VSI) to the grid is investigated. Stablity analysis is conducted for the LLCL-based grid-connected VSI. The presented concept has been elucidated by simulation results using Matlab/Simulink platform.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127896641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071818
Montassar Ben Saad, A. Jedidi, S. Niar, M. Abid
The ever increasing transistor integration density has allowed the design of complex and powerful system-on-chips (SoC). As consequence, the power consumption density increased significantly, which is directly converted into heat. These two results have a negative impact on the performance and reliability of these SoC. Thermal dissipation is an important factor that might significantly degrade the reliability and lifetime of the SoC. Traditionally, thermal problems are solved by employing advanced packaging and cooling solutions. However, the modern high-performance of the SoC is already pushing the limits of what the cooling solutions can provide. In this way, software solution can be the key of this problem. In this paper, we propose a new method to control and reduce thermal dissipation by profiling and optimizing the application source code.
{"title":"Code compilation exploration for thermal dissipation reduction in SoC","authors":"Montassar Ben Saad, A. Jedidi, S. Niar, M. Abid","doi":"10.1109/ICM.2014.7071818","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071818","url":null,"abstract":"The ever increasing transistor integration density has allowed the design of complex and powerful system-on-chips (SoC). As consequence, the power consumption density increased significantly, which is directly converted into heat. These two results have a negative impact on the performance and reliability of these SoC. Thermal dissipation is an important factor that might significantly degrade the reliability and lifetime of the SoC. Traditionally, thermal problems are solved by employing advanced packaging and cooling solutions. However, the modern high-performance of the SoC is already pushing the limits of what the cooling solutions can provide. In this way, software solution can be the key of this problem. In this paper, we propose a new method to control and reduce thermal dissipation by profiling and optimizing the application source code.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122016380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071826
Kais Belwafi, Ghaffari Fakhreddine, O. Romain, R. Djemal
This paper presents a new embedded architecture for home devices control system directed through motor imagery actions captured by EEG headset. The proposed system is validated by an offline approach which consists on using available public data-set. These recording are always accompanied with noise and useless information related to the equipment, eyes blinking and many others resources of artifacts. For this reason, a complex EEG signal processing is required; starting by filtering EEG to keep the frequency of interest which is located on μ-rhytm and β-rhytm bands in our case; followed by the extraction of useful feature to minimize the size of EEG data and enhance the probability of classifying each trial correctly. A prototype of our proposed embedded system has been implemented on Stratix IV FPGA Board. The prototype operates at 200 MHz and performs real-time classification with an execution delay of 0.5 second per trial and an accuracy average of 72%.
本文提出了一种基于脑电图头戴式设备捕捉到的运动图像动作来指导家用设备控制系统的新型嵌入式架构。该系统通过使用可用的公共数据集的离线方法进行验证。这些录音总是伴随着噪音和与设备、眼睛闪烁和许多其他人工制品资源相关的无用信息。为此，需要对EEG信号进行复杂的处理;首先对脑电图进行滤波，使感兴趣的频率保持在μ-rhytm和β-rhytm波段;然后提取有用的特征，最小化脑电数据的大小，提高每个试验正确分类的概率。我们提出的嵌入式系统的原型已经在Stratix IV FPGA板上实现。该原型机工作频率为200mhz，每次试验的执行延迟为0.5秒，平均准确率为72%。
{"title":"An embedded implementation of home devices control system based on brain computer interface","authors":"Kais Belwafi, Ghaffari Fakhreddine, O. Romain, R. Djemal","doi":"10.1109/ICM.2014.7071826","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071826","url":null,"abstract":"This paper presents a new embedded architecture for home devices control system directed through motor imagery actions captured by EEG headset. The proposed system is validated by an offline approach which consists on using available public data-set. These recording are always accompanied with noise and useless information related to the equipment, eyes blinking and many others resources of artifacts. For this reason, a complex EEG signal processing is required; starting by filtering EEG to keep the frequency of interest which is located on μ-rhytm and β-rhytm bands in our case; followed by the extraction of useful feature to minimize the size of EEG data and enhance the probability of classifying each trial correctly. A prototype of our proposed embedded system has been implemented on Stratix IV FPGA Board. The prototype operates at 200 MHz and performs real-time classification with an execution delay of 0.5 second per trial and an accuracy average of 72%.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128291436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071805
R. Ismail, A. Radwan, R. El-Barkouky
This paper demonstrates some fundamentals concerning the study of the Fractional order Transmission Line (FTL) operation. A numerical algorithm applied to study the transient analysis is shown describing the abnormal diffusion that appears in the operation of the TL. According to the steady state analysis of the FTL operation, the superior advantages over the conventional domain of imposing the fractional parameters are shown in this work. Moreover, all the conventional formulas are retrieved from the corresponding fractional ones by setting all fractional derivatives to unity.
{"title":"On the generalization of fractional-order transmission lines","authors":"R. Ismail, A. Radwan, R. El-Barkouky","doi":"10.1109/ICM.2014.7071805","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071805","url":null,"abstract":"This paper demonstrates some fundamentals concerning the study of the Fractional order Transmission Line (FTL) operation. A numerical algorithm applied to study the transient analysis is shown describing the abnormal diffusion that appears in the operation of the TL. According to the steady state analysis of the FTL operation, the superior advantages over the conventional domain of imposing the fractional parameters are shown in this work. Moreover, all the conventional formulas are retrieved from the corresponding fractional ones by setting all fractional derivatives to unity.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICM.2014.7071793
R. Lee, Mohammed A. S. Khalid, E. Abdel-Raheem
The delayed normalized least-mean-square (DNLMS) adaptive filtering algorithm is suitable for implementing pipelined architectures. Though previous literature has provided such architectures for DNLMS adaptive filters, none have given a detailed implementation. This paper presents the configurable hardware implementation of a pipelined, modular, low-latency, portable DNLMS adaptive filter which is tested for echo cancellation. The design is implemented onto the Altera Stratix FPGA and has a maximum operating frequency of 32.27 MHz. The design methodology consists of architectural derivation, fixed-point and RTL simulations, physical synthesis, and real-time hardware.
{"title":"Configurable hardware implementation of a pipelined DNLMS adaptive filter","authors":"R. Lee, Mohammed A. S. Khalid, E. Abdel-Raheem","doi":"10.1109/ICM.2014.7071793","DOIUrl":"https://doi.org/10.1109/ICM.2014.7071793","url":null,"abstract":"The delayed normalized least-mean-square (DNLMS) adaptive filtering algorithm is suitable for implementing pipelined architectures. Though previous literature has provided such architectures for DNLMS adaptive filters, none have given a detailed implementation. This paper presents the configurable hardware implementation of a pipelined, modular, low-latency, portable DNLMS adaptive filter which is tested for echo cancellation. The design is implemented onto the Altera Stratix FPGA and has a maximum operating frequency of 32.27 MHz. The design methodology consists of architectural derivation, fixed-point and RTL simulations, physical synthesis, and real-time hardware.","PeriodicalId":107354,"journal":{"name":"2014 26th International Conference on Microelectronics (ICM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126701552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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