Pub Date : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463339
A. Waluyo, Song Ying, I. Pek, Jian Kang Wu
Advances in wireless sensor technology have opened up a new paradigm in the healthcare industry. Ubiquitous and embedded medical monitoring is no longer a myth and this helps improve the daily lives of the sick, elderly, infirm, and chronically ill people. Given the variety of medical body sensors and its applications, it is definitely of interest to implement a middleware system that shield off these differences from the application layer. The aim of this paper is to propose such middleware for wireless medical body area network. The proposed middleware has the ability to support: (i) multiple sensors and applications, (ii) plug and play feature, and (iii) resource management. The middleware has been implemented and the prototype system has been built. The effective uses of the proposed middleware will be shown with the healthcare monitoring system running on top of the middleware.
{"title":"Middleware for Wireless Medical Body Area Network","authors":"A. Waluyo, Song Ying, I. Pek, Jian Kang Wu","doi":"10.1109/BIOCAS.2007.4463339","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463339","url":null,"abstract":"Advances in wireless sensor technology have opened up a new paradigm in the healthcare industry. Ubiquitous and embedded medical monitoring is no longer a myth and this helps improve the daily lives of the sick, elderly, infirm, and chronically ill people. Given the variety of medical body sensors and its applications, it is definitely of interest to implement a middleware system that shield off these differences from the application layer. The aim of this paper is to propose such middleware for wireless medical body area network. The proposed middleware has the ability to support: (i) multiple sensors and applications, (ii) plug and play feature, and (iii) resource management. The middleware has been implemented and the prototype system has been built. The effective uses of the proposed middleware will be shown with the healthcare monitoring system running on top of the middleware.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128764838","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463319
H. Higa, K. Mihara, T. Dojo, H. Uehara, S. Kanoh
As one of control command input methods for functional electrical stimulation (FES) system, a control device using the eye movements was described in this paper. In order to detect the eye movements, we designed the video-based control command input device and verified its performance in experiments. The experimental results showed that the beginner healthy subject could appropriately operate the device just after 10-minute training, and that the video-based control command input device for FES system was effective.
{"title":"A Video-Based Control Command Input Device for FES System","authors":"H. Higa, K. Mihara, T. Dojo, H. Uehara, S. Kanoh","doi":"10.1109/BIOCAS.2007.4463319","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463319","url":null,"abstract":"As one of control command input methods for functional electrical stimulation (FES) system, a control device using the eye movements was described in this paper. In order to detect the eye movements, we designed the video-based control command input device and verified its performance in experiments. The experimental results showed that the beginner healthy subject could appropriately operate the device just after 10-minute training, and that the video-based control command input device for FES system was effective.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480788","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463345
M. Najmabadi, V. Devabhaktuni, M. Sawan, C. Fallone
Wavelet decomposition is gaining attention as a novel signal processing tool for analyzing nonlinear time-series. Compared to traditional Fourier transform, wavelet transform better represents functions exhibiting discontinuities and sudden changes. As such, wavelet-based techniques are strong candidates for the analysis of bio-signals (e.g. gastric and esophageal signals), in which, sudden changes and sharp peaks are likely. For the first time, this paper applies wavelet decomposition to the analysis of esophageal manometric data, which is critical in the diagnosis of gastroesophageal reflux disease. Simulation results of wavelet decomposition are compared with those of a recent approach based on empirical mode decomposition. Such comparison shows that wavelet decomposition leads to better results in terms of number of decomposition coefficients (15 versus 17), CPU-time (0.5 s versus 75 s), and signal-to-background ratio (0.97 versus 0.85).
小波分解作为一种新的分析非线性时间序列的信号处理工具正受到越来越多的关注。与传统的傅里叶变换相比，小波变换能更好地表征不连续和突变的函数。因此，基于小波的技术是分析生物信号(例如胃和食管信号)的有力候选，其中可能发生突然变化和尖峰。本文首次将小波分解应用于胃食管反流病诊断中至关重要的食管测压数据分析。将小波分解方法与经验模态分解方法的仿真结果进行了比较。这样的比较表明，小波分解在分解系数的数量(15 vs 17)、cpu时间(0.5 s vs 75 s)和信本比(0.97 vs 0.85)方面取得了更好的结果。
{"title":"Wavelet Decomposition for the Analysis of Esophageal Manometric Data in the Study of Gastroesophageal Reflux Disease","authors":"M. Najmabadi, V. Devabhaktuni, M. Sawan, C. Fallone","doi":"10.1109/BIOCAS.2007.4463345","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463345","url":null,"abstract":"Wavelet decomposition is gaining attention as a novel signal processing tool for analyzing nonlinear time-series. Compared to traditional Fourier transform, wavelet transform better represents functions exhibiting discontinuities and sudden changes. As such, wavelet-based techniques are strong candidates for the analysis of bio-signals (e.g. gastric and esophageal signals), in which, sudden changes and sharp peaks are likely. For the first time, this paper applies wavelet decomposition to the analysis of esophageal manometric data, which is critical in the diagnosis of gastroesophageal reflux disease. Simulation results of wavelet decomposition are compared with those of a recent approach based on empirical mode decomposition. Such comparison shows that wavelet decomposition leads to better results in terms of number of decomposition coefficients (15 versus 17), CPU-time (0.5 s versus 75 s), and signal-to-background ratio (0.97 versus 0.85).","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123927664","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463342
Fei Zhang, Jun‐Kai Tan, Y. Lian
A novel QRS detection algorithm for wearable ECG devices and its FPGA implementation are presented in this paper. The proposed algorithm utilizes the hybrid opening- closing mathematical morphology filtering to suppress the impulsive noise and remove the baseline drift and uses modulus accumulation to enhance the signal. The proposed algorithm achieves an average QRS detection rate of 99.53%, a sensitivity of 99.82% and a positive prediction of 99.71% against the MIT/BIH Arrhythmia Database. It compares favorably to published methods.
{"title":"An Effective QRS Detection Algorithm for Wearable ECG in Body Area Network","authors":"Fei Zhang, Jun‐Kai Tan, Y. Lian","doi":"10.1109/BIOCAS.2007.4463342","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463342","url":null,"abstract":"A novel QRS detection algorithm for wearable ECG devices and its FPGA implementation are presented in this paper. The proposed algorithm utilizes the hybrid opening- closing mathematical morphology filtering to suppress the impulsive noise and remove the baseline drift and uses modulus accumulation to enhance the signal. The proposed algorithm achieves an average QRS detection rate of 99.53%, a sensitivity of 99.82% and a positive prediction of 99.71% against the MIT/BIH Arrhythmia Database. It compares favorably to published methods.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115711726","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463337
J. Gu, W. M. Lim, K. Yeo, M. Do, C. Boon
This paper presents a low power, low cost, high integrated transmitter front-end designed for the body area network sensor nodes working at the 2.4 GHz Industry-Science- Medical (ISM) band. Baseband LPF, quadrature up-mixer, differential driver amplifier and T/R switch are designed and implemented in 0.18mum RF CMOS technology. The RC networks based single amplifying block style LPF, modified active up- mixer and two-stage driver amplifier are adopted for large signal processing and low signal distortion. The transmitter outputs OdBm power, with 16dB gain and 8.5dBm 0-IP3, consuming 6mA from 1.8V power supply.
{"title":"Low Power Transmitter Design for BAN","authors":"J. Gu, W. M. Lim, K. Yeo, M. Do, C. Boon","doi":"10.1109/BIOCAS.2007.4463337","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463337","url":null,"abstract":"This paper presents a low power, low cost, high integrated transmitter front-end designed for the body area network sensor nodes working at the 2.4 GHz Industry-Science- Medical (ISM) band. Baseband LPF, quadrature up-mixer, differential driver amplifier and T/R switch are designed and implemented in 0.18mum RF CMOS technology. The RC networks based single amplifying block style LPF, modified active up- mixer and two-stage driver amplifier are adopted for large signal processing and low signal distortion. The transmitter outputs OdBm power, with 16dB gain and 8.5dBm 0-IP3, consuming 6mA from 1.8V power supply.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115472423","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463351
W. Plishker, O. Dandekar, S. Bhattacharyya, R. Shekhar
For the past decade, improving the performance and accuracy of medical image registration has been a driving force of innovation in medical imaging. Accurate image registration enhances diagnoses of patients, accounts for changes in morphology of structures over time, and even combines images from different modalities. The ultimate goal of medical image registration research is to create a robust, real time, elastic registration solution that may be used on many modalities. With such a computationally intensive and multifaceted problem, researchers have exploited parallelism at different levels to improve the performance of this application, but there has yet to be a solution fast enough and effective enough to gain widespread clinical use. To achieve real time elastic registration, an implementation must simultaneously exploit multiple types of parallelism in the application by targeting a heterogeneous platform whose computational components (e.g. multiprocessors, graphics processors, field programmable gate arrays) match these types of parallelism. Our initial experiments indicate that an 8 node heterogeneous cluster can realize over 100times speedup compared to a high performance uniprocessor system. By creating a platform based on modern hardware, we believe that a heterogeneous compute platform customized for image registration can provide robust, scalable, cost effective sub-minute medical image registration capabilities.
{"title":"Towards a Heterogeneous Medical Image Registration Acceleration Platform","authors":"W. Plishker, O. Dandekar, S. Bhattacharyya, R. Shekhar","doi":"10.1109/BIOCAS.2007.4463351","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463351","url":null,"abstract":"For the past decade, improving the performance and accuracy of medical image registration has been a driving force of innovation in medical imaging. Accurate image registration enhances diagnoses of patients, accounts for changes in morphology of structures over time, and even combines images from different modalities. The ultimate goal of medical image registration research is to create a robust, real time, elastic registration solution that may be used on many modalities. With such a computationally intensive and multifaceted problem, researchers have exploited parallelism at different levels to improve the performance of this application, but there has yet to be a solution fast enough and effective enough to gain widespread clinical use. To achieve real time elastic registration, an implementation must simultaneously exploit multiple types of parallelism in the application by targeting a heterogeneous platform whose computational components (e.g. multiprocessors, graphics processors, field programmable gate arrays) match these types of parallelism. Our initial experiments indicate that an 8 node heterogeneous cluster can realize over 100times speedup compared to a high performance uniprocessor system. By creating a platform based on modern hardware, we believe that a heterogeneous compute platform customized for image registration can provide robust, scalable, cost effective sub-minute medical image registration capabilities.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555105","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463323
Yang Liu, S. Chakrabartty, D. Gkinosatis, A. Mohanty, N. Lajnef
Many biomedical applications require high sensitivity for measuring strain induced in biomechanical structures. Although current metallic foil strain gauges are capable of measuring strain deformations, their low sensitivity and relatively large size render them unsuitable for implantable and wearable application. In this paper, we present a novel nanocomposites strain sensor using poly(L- lactide) (PLLA) as a host polymer matrix and multi-walled carbon nanotubes (MWNTs) as filler. The PLLA matrix improves load transfer across the nanotubes by means of better interfacial bonding between polymer and carbon nanotubes filler, thus endowing the nanocomposites material with excellent piezoresistive property. Experimental results using a fabricated nanocomposites strain sensor is presented demonstrating its linear response and high gauge factor. Due to biocompatibility and biodegradability of PLLA, the proposed sensor is attractive for many biomedical and wearable applications.
{"title":"Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants","authors":"Yang Liu, S. Chakrabartty, D. Gkinosatis, A. Mohanty, N. Lajnef","doi":"10.1109/BIOCAS.2007.4463323","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463323","url":null,"abstract":"Many biomedical applications require high sensitivity for measuring strain induced in biomechanical structures. Although current metallic foil strain gauges are capable of measuring strain deformations, their low sensitivity and relatively large size render them unsuitable for implantable and wearable application. In this paper, we present a novel nanocomposites strain sensor using poly(L- lactide) (PLLA) as a host polymer matrix and multi-walled carbon nanotubes (MWNTs) as filler. The PLLA matrix improves load transfer across the nanotubes by means of better interfacial bonding between polymer and carbon nanotubes filler, thus endowing the nanocomposites material with excellent piezoresistive property. Experimental results using a fabricated nanocomposites strain sensor is presented demonstrating its linear response and high gauge factor. Due to biocompatibility and biodegradability of PLLA, the proposed sensor is attractive for many biomedical and wearable applications.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839193","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463317
Y. Wong, Peng Xu, P. Abshire
We present theory, design and simulation results for a silicon neuron circuit that achieves extremely low spike rates and small footprint by exploiting the low current characteristics in floating gate structures. As in biological counterparts, the spike rate is compressed against stimulant current. Simulations confirm sub-Hertz spike rates in steady state with a stimulant current of 7pA and below, and up to 100x spike rate reduction at InA. With reasonable device variation modelling, Monte Carlo simulation shows that spike rate varies by a standard deviation of 25%.
{"title":"Ultra-low Spike Rate Silicon Neuron","authors":"Y. Wong, Peng Xu, P. Abshire","doi":"10.1109/BIOCAS.2007.4463317","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463317","url":null,"abstract":"We present theory, design and simulation results for a silicon neuron circuit that achieves extremely low spike rates and small footprint by exploiting the low current characteristics in floating gate structures. As in biological counterparts, the spike rate is compressed against stimulant current. Simulations confirm sub-Hertz spike rates in steady state with a stimulant current of 7pA and below, and up to 100x spike rate reduction at InA. With reasonable device variation modelling, Monte Carlo simulation shows that spike rate varies by a standard deviation of 25%.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121443827","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463347
X. Long, O. Tonguz, A. Kidernan
This paper reports an accurate pupil size monitoring and analyzing system designed for a new method for screening diabetic retinopathy. The system monitors the pupil size change under stimulation of circular or annular objects of different sizes and brightness produced on a LCD screen facing the subject. Pupil response is captured by digital cameras and the eye images acquired are processed in real time. A novel algorithm is designed to calculate the pupil size to provide data input for the screening procedure of diabetic retinopathy. To distinguish real pupil size changes from artifacts like blinking, eyelid drop or reflections, we use several image processing techniques to estimate the pupil size when the pupil shape is partially occluded.
{"title":"Real Time Pupil Size Monitoring As a Screening Method for Diabetic Retinopathy","authors":"X. Long, O. Tonguz, A. Kidernan","doi":"10.1109/BIOCAS.2007.4463347","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463347","url":null,"abstract":"This paper reports an accurate pupil size monitoring and analyzing system designed for a new method for screening diabetic retinopathy. The system monitors the pupil size change under stimulation of circular or annular objects of different sizes and brightness produced on a LCD screen facing the subject. Pupil response is captured by digital cameras and the eye images acquired are processed in real time. A novel algorithm is designed to calculate the pupil size to provide data input for the screening procedure of diabetic retinopathy. To distinguish real pupil size changes from artifacts like blinking, eyelid drop or reflections, we use several image processing techniques to estimate the pupil size when the pupil shape is partially occluded.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883807","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463303
K. Kiyoyama, Y. Tanaka, M. Onoda, T. Tanaka, M. Koyanagi
In this paper, we propose a passive telemetry interface system for a body-implanted chip with a closed-loop power control function, which keeps the chip temperature at the allowable level for human body. The system is controlled by monitoring an excessive current at the implanted chip and limiting the power supply at the external interrogator unit. Power consumption of the current monitor circuit implemented in 0.18 mum standard CMOS technology is lower than 35 muW with a 1.8 V power supply. Experimental results of the closed-loop power control system confirm its expected features of a detecting current of 150 muA at a distance between the transponder and the interrogator less than 10 mm.
{"title":"A Passive Telemetry Interface System with Closed-loop Power Control Function for Body-implanted Applications","authors":"K. Kiyoyama, Y. Tanaka, M. Onoda, T. Tanaka, M. Koyanagi","doi":"10.1109/BIOCAS.2007.4463303","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463303","url":null,"abstract":"In this paper, we propose a passive telemetry interface system for a body-implanted chip with a closed-loop power control function, which keeps the chip temperature at the allowable level for human body. The system is controlled by monitoring an excessive current at the implanted chip and limiting the power supply at the external interrogator unit. Power consumption of the current monitor circuit implemented in 0.18 mum standard CMOS technology is lower than 35 muW with a 1.8 V power supply. Experimental results of the closed-loop power control system confirm its expected features of a detecting current of 150 muA at a distance between the transponder and the interrogator less than 10 mm.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876323","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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