Pub Date : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5884
Carlos González Bris, A. Lantada
A wearable bite force sensing system prototype made up of a passive force sensor and an active interrogator/reader is described. The system is aimed at bite sensing using a wireless link between the passive sensor to be located in the mouth and the external interrogator that can record the evolution of detected force. The interrogator generates a magnetic field that energizes the passive sensor which is also used as the information transmission carrier. The passive force sensor does not need a battery to operate it because it can extract the energy it needs to operate from the carrier field generated by the interrogator. Occlusal force quantification can be used for the detection of bruxing episodes and registration. The small size of the components used (smd) and its further size reduction if they are integrated would allow an implant the size of a tooth.
{"title":"A wearable passive force sensor powered by an active interrogator intended for intra-splint use for the detection and recording of bruxism","authors":"Carlos González Bris, A. Lantada","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5884","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5884","url":null,"abstract":"A wearable bite force sensing system prototype made up of a passive force sensor and an active interrogator/reader is described. The system is aimed at bite sensing using a wireless link between the passive sensor to be located in the mouth and the external interrogator that can record the evolution of detected force. The interrogator generates a magnetic field that energizes the passive sensor which is also used as the information transmission carrier. The passive force sensor does not need a battery to operate it because it can extract the energy it needs to operate from the carrier field generated by the interrogator. Occlusal force quantification can be used for the detection of bruxing episodes and registration. The small size of the components used (smd) and its further size reduction if they are integrated would allow an implant the size of a tooth.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148447","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5973
L. Brown, B. Grundlehner, J. V. D. Molengraft, J. Penders, B. Gyselinckx
A body area network (BAN) for monitoring the autonomic nervous system responses is reported. The BAN is based on the Human++ UniNode, a small, low power generic wireless sensor node. Physiological signals are monitored using specifically designed ultra low power sensor front ends connected to the UniNodes. Two UniNodes compose the body area network, one on a chest belt to record ECG and respiration, the other on a wrist sensor to record skin conductance and skin temperature. Small, lightweight and low power body area network platform, this platform BAN platform paves the way towards ambulatory, continuous monitoring of autonomic responses in everyday applications.
{"title":"Body area network for monitoring autonomic nervous system responses","authors":"L. Brown, B. Grundlehner, J. V. D. Molengraft, J. Penders, B. Gyselinckx","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5973","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5973","url":null,"abstract":"A body area network (BAN) for monitoring the autonomic nervous system responses is reported. The BAN is based on the Human++ UniNode, a small, low power generic wireless sensor node. Physiological signals are monitored using specifically designed ultra low power sensor front ends connected to the UniNodes. Two UniNodes compose the body area network, one on a chest belt to record ECG and respiration, the other on a wrist sensor to record skin conductance and skin temperature. Small, lightweight and low power body area network platform, this platform BAN platform paves the way towards ambulatory, continuous monitoring of autonomic responses in everyday applications.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122848135","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6028
L. M. Borges, Norberto Barroca, F. Velez, A. S. Lebres
In the past years low power circuits design and networking techniques not only reduce the total power, requirements for Wireless Sensor Networks (WSNs) but also allow for supporting more complexity. In this paper we present solutions for WSN applications, and design aspects in the context of patient monitoring. The solution presented whose primary function is to collect the vital data remotely from the various sensors in low-rate wireless personal area network (LR-WPAN) is based on the IEEE 802.15.4 standard. It also will includes a Wi-Fi Layer in the context of hybrid networks. The application being dealt here consist of several flex sensors attached to a wearable monitoring belt, and allows for monitoring the foetal movements for a pregnant woman.
{"title":"Smart-clothing wireless flex sensor belt network for foetal health monitoring","authors":"L. M. Borges, Norberto Barroca, F. Velez, A. S. Lebres","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6028","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6028","url":null,"abstract":"In the past years low power circuits design and networking techniques not only reduce the total power, requirements for Wireless Sensor Networks (WSNs) but also allow for supporting more complexity. In this paper we present solutions for WSN applications, and design aspects in the context of patient monitoring. The solution presented whose primary function is to collect the vital data remotely from the various sensors in low-rate wireless personal area network (LR-WPAN) is based on the IEEE 802.15.4 standard. It also will includes a Wi-Fi Layer in the context of hybrid networks. The application being dealt here consist of several flex sensors attached to a wearable monitoring belt, and allows for monitoring the foetal movements for a pregnant woman.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129779642","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6078
Fran Wu, Mitch Williams, P. Kazanzides, Ken Brady, J. Fackler
Traditionally, Clinical Decision Support Systems (CDSS) collect patient data from physiological monitors and other sources, providing clinicians with derived instructions and information to aid treatment planning. With advancements in telecommunication networks, CDSS functionality can be extended over distances, and accessed remotely (e.g. by appropriate healthcare providers not available in the patient's immediate surroundings). This paper discusses a modular CDSS that features real-time continuous patient monitoring, high-fidelity analysis and incorporation of clinical guidelines for decision support. A modular CDSS prototype was designed, implemented and tested in a pediatric intensive care environment, by incorporating a guideline for pediatric traumatic brain injury (TBI). System outputs show successful aggregation and analysis of continuous and periodic data, and automation of guidelines by recognizing deviation of patient's condition from normal states. The modular design will allow extension into pre-hospital treatment environments by taking advantages of advances in pervasive monitoring.
{"title":"A modular Clinical Decision Support System Clinical prototype extensible into multiple clinical settings","authors":"Fran Wu, Mitch Williams, P. Kazanzides, Ken Brady, J. Fackler","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6078","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6078","url":null,"abstract":"Traditionally, Clinical Decision Support Systems (CDSS) collect patient data from physiological monitors and other sources, providing clinicians with derived instructions and information to aid treatment planning. With advancements in telecommunication networks, CDSS functionality can be extended over distances, and accessed remotely (e.g. by appropriate healthcare providers not available in the patient's immediate surroundings). This paper discusses a modular CDSS that features real-time continuous patient monitoring, high-fidelity analysis and incorporation of clinical guidelines for decision support. A modular CDSS prototype was designed, implemented and tested in a pediatric intensive care environment, by incorporating a guideline for pediatric traumatic brain injury (TBI). System outputs show successful aggregation and analysis of continuous and periodic data, and automation of guidelines by recognizing deviation of patient's condition from normal states. The modular design will allow extension into pre-hospital treatment environments by taking advantages of advances in pervasive monitoring.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770412","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6002
Helena Fernández-López, Pedro Macedo, J. Afonso, J. Correia, Ricardo Simões
Low power consumption and small footprint make 802.15.4/ZigBee based devices well suited for personal healthcare applications, representing a promising alternative to patient monitoring under important scenarios such as emergency, postop, continuous care, and chronic diseases. However, their use in a healthcare facility to monitor several mobile patients poses several difficulties, mainly because this protocol was primarily designed to operate in low data rate scenarios. This paper presents simulation results used to evaluate important quality of service (QoS) markers and, ultimately, estimate the maximum number of sensors that could integrate a wireless vital signs monitoring system. Results show that the system is able to carry the signals from 30 ECG sensors with delivery ratio higher than 99% in the considered scenario, provided that an adequate number of retransmissions are allowed.
{"title":"Performance evaluation of a ZigBee-based medical sensor network","authors":"Helena Fernández-López, Pedro Macedo, J. Afonso, J. Correia, Ricardo Simões","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6002","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6002","url":null,"abstract":"Low power consumption and small footprint make 802.15.4/ZigBee based devices well suited for personal healthcare applications, representing a promising alternative to patient monitoring under important scenarios such as emergency, postop, continuous care, and chronic diseases. However, their use in a healthcare facility to monitor several mobile patients poses several difficulties, mainly because this protocol was primarily designed to operate in low data rate scenarios. This paper presents simulation results used to evaluate important quality of service (QoS) markers and, ultimately, estimate the maximum number of sensors that could integrate a wireless vital signs monitoring system. Results show that the system is able to carry the signals from 30 ECG sensors with delivery ratio higher than 99% in the considered scenario, provided that an adequate number of retransmissions are allowed.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127043990","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6070
M. Eslami, M. V. Sinderen
Health monitoring and healthcare provisioning at home (i.e., outside the hospital) have received increasingly attention as a possible and partial solution for addressing the problems of an aging population. There are still many technological issues that need to be solved before home healthcare systems can be really cost-effective and efficient. However, in this paper we will highlight another category of issues which we call architectural challenges. Each patient is unique, and each patient has a unique lifestyle, living environment and course of life. Therefore it should be possible to personalize the services provided by home healthcare systems according to the needs and preferences of each individual patient, and it should be possible to make incremental adaptations at later points in time if this is necessary due to, for example, a changing health condition. The architectural challenges and solution directions related to this has been discussed in this paper.
{"title":"Flexible home care automation adapting to the personal and evolving needs and situations of the patient","authors":"M. Eslami, M. V. Sinderen","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6070","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6070","url":null,"abstract":"Health monitoring and healthcare provisioning at home (i.e., outside the hospital) have received increasingly attention as a possible and partial solution for addressing the problems of an aging population. There are still many technological issues that need to be solved before home healthcare systems can be really cost-effective and efficient. However, in this paper we will highlight another category of issues which we call architectural challenges. Each patient is unique, and each patient has a unique lifestyle, living environment and course of life. Therefore it should be possible to personalize the services provided by home healthcare systems according to the needs and preferences of each individual patient, and it should be possible to make incremental adaptations at later points in time if this is necessary due to, for example, a changing health condition. The architectural challenges and solution directions related to this has been discussed in this paper.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"49 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123689405","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5966
J. Germano, Rui Ramalho, L. Sousa
Embedded systems assume an increasing importance in several biomedical applications. These applications present dissimilar requirements and characteristics, posing problems at the computing and communication levels. This paper proposes a general network based platform that follows a distributed approach based on a client/server architecture, in order to integrate embedded systems for biomedical applications. This platform makes use of autonomous communication modules, and relies on personal digital assistants to act as Masters, and to interconnect the embedded systems to computer networks. Information is sent to a main server that maintains and provides access to a database. Data security is assured in all systems by using cryptographic algorithms and protocols. Two embedded systems have been developed based on this platform, a simple system for movement monitoring, and another for biomolecular recognition detection. Furthermore, we show that the optimization of the communication module lead to an increase of 70% of the platform's autonomy for the movement monitoring system.
{"title":"On the design of distributed autonomous embedded systems for biomedical applications","authors":"J. Germano, Rui Ramalho, L. Sousa","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5966","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5966","url":null,"abstract":"Embedded systems assume an increasing importance in several biomedical applications. These applications present dissimilar requirements and characteristics, posing problems at the computing and communication levels. This paper proposes a general network based platform that follows a distributed approach based on a client/server architecture, in order to integrate embedded systems for biomedical applications. This platform makes use of autonomous communication modules, and relies on personal digital assistants to act as Masters, and to interconnect the embedded systems to computer networks. Information is sent to a main server that maintains and provides access to a database. Data security is assured in all systems by using cryptographic algorithms and protocols. Two embedded systems have been developed based on this platform, a simple system for movement monitoring, and another for biomolecular recognition detection. Furthermore, we show that the optimization of the communication module lead to an increase of 70% of the platform's autonomy for the movement monitoring system.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"56 36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124316834","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6061
Diana Saldaña-Jimenez, M. Rodríguez, A. Espinoza, Juan-Pablo García-Vázquez
As elders age, performing everyday tasks can be filled with risks that threaten their health and independence. We present a context-aware component based on agents that enables developers to build Ambient Intelligence Systems for supporting the independent living of elders. This component uses the ELDeR ontology that we propose to model the context information inherent to the elder's daily activities and that enables agents to infer risks. Our aim is to provide a context-aware component flexible enough to easily enable developers to change the contextual conditions for inferring risks in order to respond to a different scenario. In this paper, we describe the component functionality and illustrate its use by presenting the design of a sample application.
{"title":"A context-aware component for identifying risks associated to elders' activities of daily living","authors":"Diana Saldaña-Jimenez, M. Rodríguez, A. Espinoza, Juan-Pablo García-Vázquez","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6061","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6061","url":null,"abstract":"As elders age, performing everyday tasks can be filled with risks that threaten their health and independence. We present a context-aware component based on agents that enables developers to build Ambient Intelligence Systems for supporting the independent living of elders. This component uses the ELDeR ontology that we propose to model the context information inherent to the elder's daily activities and that enables agents to infer risks. Our aim is to provide a context-aware component flexible enough to easily enable developers to change the contextual conditions for inferring risks in order to respond to a different scenario. In this paper, we describe the component functionality and illustrate its use by presenting the design of a sample application.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114503095","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6010
J. Maitland, M. Chalmers
Given the widely acknowledged impact that social support has on health outcomes, we set out to investigate peerinvolvement in cardiac rehabilitation and explore the potential for technological support thereof. We planned to deploy a purpose built technology probe into a 10-week rehabilitation program. This paper presents the findings of the probes pilot study, where rejection of technology and reluctance to involve peers highlighted important considerations for the design of peerbased health promotion technologies and methodological considerations for the study of peer-involvement in behavioural change as well as pervasive health research in general.
{"title":"Probelems: reflecting on a technology probe into peer involvement in cardiac rehabilitation","authors":"J. Maitland, M. Chalmers","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6010","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6010","url":null,"abstract":"Given the widely acknowledged impact that social support has on health outcomes, we set out to investigate peerinvolvement in cardiac rehabilitation and explore the potential for technological support thereof. We planned to deploy a purpose built technology probe into a 10-week rehabilitation program. This paper presents the findings of the probes pilot study, where rejection of technology and reluctance to involve peers highlighted important considerations for the design of peerbased health promotion technologies and methodological considerations for the study of peer-involvement in behavioural change as well as pervasive health research in general.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270512","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6020
Nicholas M. Boers, David Chodos, Jianzhao Huang, P. Gburzynski, I. Nikolaidis, Eleni Stroulia
Providing affordable, high-quality healthcare to the elderly while enabling them to live independently longer is of critical importance. In our Smart Condo project, we have deployed a wireless sensor network in an 850-square-foot condominium for assisted living. The sensor network records a variety of events and environmental parameters and feeds the related data into our web-based system. This system is responsible for inferring higher-order information about the activities of the condo's occupant and visualizing the collected information in both a 2D Geographic Information System (GIS) and a 3D virtual world. The architecture is flexible in terms of supported sensor types, analyses, and visualizations through which it communicates this information to its users, including the condo's occupant, their family, and their healthcare providers.
{"title":"The smart condo: visualizing independent living environments in a virtual world","authors":"Nicholas M. Boers, David Chodos, Jianzhao Huang, P. Gburzynski, I. Nikolaidis, Eleni Stroulia","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6020","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6020","url":null,"abstract":"Providing affordable, high-quality healthcare to the elderly while enabling them to live independently longer is of critical importance. In our Smart Condo project, we have deployed a wireless sensor network in an 850-square-foot condominium for assisted living. The sensor network records a variety of events and environmental parameters and feeds the related data into our web-based system. This system is responsible for inferring higher-order information about the activities of the condo's occupant and visualizing the collected information in both a 2D Geographic Information System (GIS) and a 3D virtual world. The architecture is flexible in terms of supported sensor types, analyses, and visualizations through which it communicates this information to its users, including the condo's occupant, their family, and their healthcare providers.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130560430","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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