Pub Date : 2012-12-13DOI: 10.1109/HealthCom.2012.6379460
Zhanlin Ji, Xueji Zhang, Ivan Ganchev, M. O'Droma
This paper presents an agent-based content adaptation middleware for use in a mobile eHealth (mHealth) system. The middleware was developed by utilizing an object-oriented database version of the Wireless Universal Resource FiLe (WURFL) Application Programming Interface (API) and integrated into a cloud system as means for facilitating an Always Best Connected and best Served (ABC&S) communication mode. A pure Java Wireless Abstraction Library (Java-WALL) tag and a lightweight Multi-Agent System (MAS) are presented. A number of design aspects associated with the middleware implementation are also highlighted.
{"title":"A content adaptation middleware for use in a mHealth system","authors":"Zhanlin Ji, Xueji Zhang, Ivan Ganchev, M. O'Droma","doi":"10.1109/HealthCom.2012.6379460","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379460","url":null,"abstract":"This paper presents an agent-based content adaptation middleware for use in a mobile eHealth (mHealth) system. The middleware was developed by utilizing an object-oriented database version of the Wireless Universal Resource FiLe (WURFL) Application Programming Interface (API) and integrated into a cloud system as means for facilitating an Always Best Connected and best Served (ABC&S) communication mode. A pure Java Wireless Abstraction Library (Java-WALL) tag and a lightweight Multi-Agent System (MAS) are presented. A number of design aspects associated with the middleware implementation are also highlighted.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612812","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6380056
Kai Liu, Xuezhong Zhou, Yan Feng, Jie Liu
Partially Observable Markov Decision Processes (POMDP) has been applied to induce sequential treatment scheme from Traditional Chinese Medicinal (TCM) clinical data. The data required by POMDP should be of rich structure and with heterogeneous variables. But sometimes there is large number of missing values in the real-world TCM clinical data set. This makes it difficult for data preprocessing. This paper designs a data preprocessing framework of TCM clinical data for POMDP applications. It significantly facilitates the process of sequential treatment scheme discovery through POMDP when applying the framework on TCM clinical cases of coronary heart disease and lung cancer. We also systematically analyze the sequential treatment scheme.
{"title":"Clinical data preprocessing and case studies of POMDP for TCM treatment knowledge discovery","authors":"Kai Liu, Xuezhong Zhou, Yan Feng, Jie Liu","doi":"10.1109/HealthCom.2012.6380056","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380056","url":null,"abstract":"Partially Observable Markov Decision Processes (POMDP) has been applied to induce sequential treatment scheme from Traditional Chinese Medicinal (TCM) clinical data. The data required by POMDP should be of rich structure and with heterogeneous variables. But sometimes there is large number of missing values in the real-world TCM clinical data set. This makes it difficult for data preprocessing. This paper designs a data preprocessing framework of TCM clinical data for POMDP applications. It significantly facilitates the process of sequential treatment scheme discovery through POMDP when applying the framework on TCM clinical cases of coronary heart disease and lung cancer. We also systematically analyze the sequential treatment scheme.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096472","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379455
Wei Qiao, B. Liu, C. Chen
Compressed sensing (CS) is a technique that enables sparse signal reconstruction from much fewer samples. In this paper, we propose ECG compressed sensing methods based on distributed compressed sensing to exploit the joint sparsity for both single- and multi-lead ECG signals. We apply JSM-2 (joint sparse model type 2) for jointly sparse ECG signals and formulate how to establish a partially known support based on this type of sparse model. Through careful analysis of joint partially known support, two-step ECG signal reconstruction schemes for single-lead and multi-lead ECG signals are developed. Simulation results show that the proposed schemes based on partially known support establishment outperforms existing schemes with enhanced performance measured by percentage root mean square difference (PRD).
压缩感知(CS)是一种能够从更少的样本中重建稀疏信号的技术。本文提出了一种基于分布式压缩感知的心电压缩感知方法，以利用单导联和多导联心电信号的联合稀疏性。我们将JSM-2 (joint sparse model type 2)应用于联合稀疏的心电信号，并阐述了如何在此稀疏模型的基础上建立部分已知支持。通过对联合部分已知支持的仔细分析，提出了单导联和多导联心电信号的两步重构方案。仿真结果表明，基于部分已知支撑结构的方案优于现有方案，其性能得到了百分比均方根差(PRD)的提高。
{"title":"JSM-2 based joint ECG compressed sensing with partially known support establishment","authors":"Wei Qiao, B. Liu, C. Chen","doi":"10.1109/HealthCom.2012.6379455","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379455","url":null,"abstract":"Compressed sensing (CS) is a technique that enables sparse signal reconstruction from much fewer samples. In this paper, we propose ECG compressed sensing methods based on distributed compressed sensing to exploit the joint sparsity for both single- and multi-lead ECG signals. We apply JSM-2 (joint sparse model type 2) for jointly sparse ECG signals and formulate how to establish a partially known support based on this type of sparse model. Through careful analysis of joint partially known support, two-step ECG signal reconstruction schemes for single-lead and multi-lead ECG signals are developed. Simulation results show that the proposed schemes based on partially known support establishment outperforms existing schemes with enhanced performance measured by percentage root mean square difference (PRD).","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995825","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379385
L. Chan, Derek So, Yolanda Shiu, David Sin, B. Chan, T. Chan
Image compression helps perfecting the utilization of limited storage and network resources for medical imaging. In many recent studies, H.264 video compression was deemed to be a promising option. This study was the first of its kind in studying the effect of H.264 compression on the image quality of the CT abdominal images acquired in 12-bit density resolution. In this study, 67 sets of abdominal CT scans were used for quantitative image quality analysis, and indicated that the H.264 algorithm worked on a content dependent manner, especially at high compression levels.
{"title":"Content dependent effect of H.264/AVC video compression on CT image quality","authors":"L. Chan, Derek So, Yolanda Shiu, David Sin, B. Chan, T. Chan","doi":"10.1109/HealthCom.2012.6379385","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379385","url":null,"abstract":"Image compression helps perfecting the utilization of limited storage and network resources for medical imaging. In many recent studies, H.264 video compression was deemed to be a promising option. This study was the first of its kind in studying the effect of H.264 compression on the image quality of the CT abdominal images acquired in 12-bit density resolution. In this study, 67 sets of abdominal CT scans were used for quantitative image quality analysis, and indicated that the H.264 algorithm worked on a content dependent manner, especially at high compression levels.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041816","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}
Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board) to protect privacy in human subject research. To prevent the privacy of research subjects from being disclosed unintentionally, and to meet the “need-to-know” demands of information management, this study proposes an intelligent privacy-preserving administration tool (iPAT) designed to facilitate human subject research. This study provides the principle and feasibility of iPAT that are introduced and verified through a use case conducted by the head of the research project.
{"title":"iPAT: Intelligent privacy-preserving administration tool for IRB applications","authors":"Ya-Ling Chen, Hsueh-Lin Chen, Chia-I Lin, Bo-Chao Cheng, Guo-Tan Liao, Ting-Chun Yin, Kuo-Yang Hung","doi":"10.1109/HealthCom.2012.6379470","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379470","url":null,"abstract":"Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board) to protect privacy in human subject research. To prevent the privacy of research subjects from being disclosed unintentionally, and to meet the “need-to-know” demands of information management, this study proposes an intelligent privacy-preserving administration tool (iPAT) designed to facilitate human subject research. This study provides the principle and feasibility of iPAT that are introduced and verified through a use case conducted by the head of the research project.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128075854","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379410
S. Yeh, Pa-Chun Wang, Yen-Po Hung, Chia-Huang Chang, Shuya Chen, M. Su, Hsueh-Lin Chen
Dizziness caused by peripheral vestibular nerve disease might lead to the imbalance of center of gravity, which in turn might affect the quality of daily life. Vestibular function rehabilitation exercise is thought to be able to improve the symptom of dizziness effectively. However, since rehabilitation process is boring, lacks of challenges and adaptive training contents and lacks of assessment method based on exercise analysis, the effectiveness of rehabilitation exercise is thus reduced. In this research, Cawthorne-Cooksey vestibular rehabilitation training exercise in clinical use was modified as an innovative interactive rehabilitation training system in which stereo imagimg, interactive technology and game technology were applied. In this research, clinical test (17 subjects, 6 training sessions) has been successfully carried out, during the experimental process, the task performance data, the time-history of the deviation distribution of center of gravity and subjective feeling questionnaire survey data of the patient is completely measured and recorded. The experimental result has verified the functionalities of this system, in the mean time, through the task performance evaluation and the analysis of level of balance, the medical effect of this system in assisting the patient to perform dizziness rehabilitation training has been proved, and the clinical observation also shows that the patient has higher willingness and motive to use such new system to perform rehabilitation.
{"title":"An innovative VR-based vestibular rehabilitation system","authors":"S. Yeh, Pa-Chun Wang, Yen-Po Hung, Chia-Huang Chang, Shuya Chen, M. Su, Hsueh-Lin Chen","doi":"10.1109/HealthCom.2012.6379410","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379410","url":null,"abstract":"Dizziness caused by peripheral vestibular nerve disease might lead to the imbalance of center of gravity, which in turn might affect the quality of daily life. Vestibular function rehabilitation exercise is thought to be able to improve the symptom of dizziness effectively. However, since rehabilitation process is boring, lacks of challenges and adaptive training contents and lacks of assessment method based on exercise analysis, the effectiveness of rehabilitation exercise is thus reduced. In this research, Cawthorne-Cooksey vestibular rehabilitation training exercise in clinical use was modified as an innovative interactive rehabilitation training system in which stereo imagimg, interactive technology and game technology were applied. In this research, clinical test (17 subjects, 6 training sessions) has been successfully carried out, during the experimental process, the task performance data, the time-history of the deviation distribution of center of gravity and subjective feeling questionnaire survey data of the patient is completely measured and recorded. The experimental result has verified the functionalities of this system, in the mean time, through the task performance evaluation and the analysis of level of balance, the medical effect of this system in assisting the patient to perform dizziness rehabilitation training has been proved, and the clinical observation also shows that the patient has higher willingness and motive to use such new system to perform rehabilitation.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131724302","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379393
James Robison, Li Bai, D. Mastrogiannis, C. C. Tan, Jie Wu
Personal Health Records are starting to get more attention, as they have the potential to improve the quality of care and reduce healthcare costs. In this paper, the concepts behind PHRs and the advantages of using PHRs compared to other methods of medical record keeping are discussed. In particular, platform style PHRs that allow the easy incorporation of third party tools are examined, as they have the potential to allow medical data to be used in novel ways.
{"title":"A survey on PHR technology","authors":"James Robison, Li Bai, D. Mastrogiannis, C. C. Tan, Jie Wu","doi":"10.1109/HealthCom.2012.6379393","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379393","url":null,"abstract":"Personal Health Records are starting to get more attention, as they have the potential to improve the quality of care and reduce healthcare costs. In this paper, the concepts behind PHRs and the advantages of using PHRs compared to other methods of medical record keeping are discussed. In particular, platform style PHRs that allow the easy incorporation of third party tools are examined, as they have the potential to allow medical data to be used in novel ways.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115385762","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379467
M. Hasan
There is need for providing proper quality of service (QoS) and security to healthcare traffic in the network in a healthcare environment. In addition, there is need for global visibility of healthcare related communications or transactions between various entities (applications, information systems and devices). There are three major factors that make this challenging: 1) healthcare network traffic is shared by other non-healthcare traffic, 2) there are plethora of healthcare information systems, devices and modalities with respective plethora of protocols and message formats, 3) healthcare network with its wide varieties of information systems, devices and modalities may be widely distributed (across various departments and wide-area network segments). To provide proper QoS and security in the midst of these challenges we bring healthcare application protocol and message related intelligence in the network, thus creating a logical overlay network (we call IHON: Intelligent Healthcare Overlay Network).
{"title":"Intelligent healthcare computing and networking","authors":"M. Hasan","doi":"10.1109/HealthCom.2012.6379467","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379467","url":null,"abstract":"There is need for providing proper quality of service (QoS) and security to healthcare traffic in the network in a healthcare environment. In addition, there is need for global visibility of healthcare related communications or transactions between various entities (applications, information systems and devices). There are three major factors that make this challenging: 1) healthcare network traffic is shared by other non-healthcare traffic, 2) there are plethora of healthcare information systems, devices and modalities with respective plethora of protocols and message formats, 3) healthcare network with its wide varieties of information systems, devices and modalities may be widely distributed (across various departments and wide-area network segments). To provide proper QoS and security in the midst of these challenges we bring healthcare application protocol and message related intelligence in the network, thus creating a logical overlay network (we call IHON: Intelligent Healthcare Overlay Network).","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467217","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379466
M. B. Amin, A. Shafi, Shujaat Hussain, W. A. Khan, Sungyoung Lee
Cloud Computing has been adopted by health-care industry for their data's storage, manipulation, and secured sharing needs. However, cloud's distributed nature can be exploited to the use of scientific applications that are designed for health-care data evaluation. These scientific applications, such as, Medical Imaging, Gene and Protein annotation, Mapdrug therapy and Clinical Decision Support Systems (CDSS), require high-performance messaging libraries with minimum computational and communication overhead, and efficient resource utilization. The proposed High Performance Java Sockets (HPJS) encapsulates the needs of high-performance messaging of scientific applications for cloud platforms. HPJS effectively uses Java's socket implementation for high-performance inter-process communication. With single-copy protocol, thread re-usability and reduced communication overhead, HPJS can perform messaging twice as fast to conventional buffered-base communication libraries.
{"title":"High performance Java sockets (HPJS) for scientific health clouds","authors":"M. B. Amin, A. Shafi, Shujaat Hussain, W. A. Khan, Sungyoung Lee","doi":"10.1109/HealthCom.2012.6379466","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379466","url":null,"abstract":"Cloud Computing has been adopted by health-care industry for their data's storage, manipulation, and secured sharing needs. However, cloud's distributed nature can be exploited to the use of scientific applications that are designed for health-care data evaluation. These scientific applications, such as, Medical Imaging, Gene and Protein annotation, Mapdrug therapy and Clinical Decision Support Systems (CDSS), require high-performance messaging libraries with minimum computational and communication overhead, and efficient resource utilization. The proposed High Performance Java Sockets (HPJS) encapsulates the needs of high-performance messaging of scientific applications for cloud platforms. HPJS effectively uses Java's socket implementation for high-performance inter-process communication. With single-copy protocol, thread re-usability and reduced communication overhead, HPJS can perform messaging twice as fast to conventional buffered-base communication libraries.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123550615","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379431
C. C. Tan, Li Bai, D. Mastrogiannis, Jie Wu
Remote obstetrics care monitoring is currently being used in many different countries to improve the quality of prenatal care, with promising results. The next generation of remote monitoring systems take advantage of improvements in wireless communications and mobile phone technologies to incorporate off-the-shelf equipment, such as Android smartphones, into their design. This not only reduces the overall cost, but also allows for greater flexibility, since the patient can perform monitoring in the comfort of their home. However, our analysis suggests that recently proposed systems have inadequate security protections needed to meet HIPAA requirements for health data. We also proposed recommendations to improve the security of these emerging systems.
{"title":"Security analysis of emerging remote obstetrics monitoring systems","authors":"C. C. Tan, Li Bai, D. Mastrogiannis, Jie Wu","doi":"10.1109/HealthCom.2012.6379431","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379431","url":null,"abstract":"Remote obstetrics care monitoring is currently being used in many different countries to improve the quality of prenatal care, with promising results. The next generation of remote monitoring systems take advantage of improvements in wireless communications and mobile phone technologies to incorporate off-the-shelf equipment, such as Android smartphones, into their design. This not only reduces the overall cost, but also allows for greater flexibility, since the patient can perform monitoring in the comfort of their home. However, our analysis suggests that recently proposed systems have inadequate security protections needed to meet HIPAA requirements for health data. We also proposed recommendations to improve the security of these emerging systems.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129904179","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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