Pub Date : 2012-12-13DOI: 10.1109/HealthCom.2012.6380059
Xueqin Jia, Hao Chen, Fei Qi
This paper describes E-Health Monitoring (EHM) ecosystem and current EHM market segments. Based on IoT reference model, three EHM technical models are proposed. Model 1 focuses on device to device communication; model 2 focuses on network providing connection only; model 3 focuses on network combined with platform. Model 3 is equipped with a service support platform which is a new entity comparing with model 2. And then, several key technologies are proposed for service support platform of model 3.
{"title":"Technical models and key technologies of E-Health Monitoring","authors":"Xueqin Jia, Hao Chen, Fei Qi","doi":"10.1109/HealthCom.2012.6380059","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380059","url":null,"abstract":"This paper describes E-Health Monitoring (EHM) ecosystem and current EHM market segments. Based on IoT reference model, three EHM technical models are proposed. Model 1 focuses on device to device communication; model 2 focuses on network providing connection only; model 3 focuses on network combined with platform. Model 3 is equipped with a service support platform which is a new entity comparing with model 2. And then, several key technologies are proposed for service support platform of model 3.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"125 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":"129672530","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.2012.6379426
W. Liu, Yongqiang Lyu, Cai Chen, Yuanyuan Du, F. Yan, Shuqi Xu
There is vigorous development in Healthcare terminals. It not only reduces much of medical resources, but also is more convenient for people to monitor their physical condition, so has met with a warm reception. However, all of the devices in the terminals are electronic. Some small factors have an impact on the measuring result, lead to more or less deviation even mistakes. The paper researches on the impact that physical posture acts on the precision and deduces the functional relations between postures and deviation. How to design the healthcare terminals and guide the user to measure in the comfort posture to get the more precise result is the topic of the paper. As the verification, a series of experiment based on the design from the paper is carried out. Experimental results show that 1) the user comfort can be gauged and evaluated by psycho-physiological (medical) measurement and 2) the comfort-gauged formulation works in the design methodology and 3) the design methodology is applicable in real designs.
{"title":"UE-based optimization for self-service community healthcare kiosk","authors":"W. Liu, Yongqiang Lyu, Cai Chen, Yuanyuan Du, F. Yan, Shuqi Xu","doi":"10.1109/HealthCom.2012.6379426","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379426","url":null,"abstract":"There is vigorous development in Healthcare terminals. It not only reduces much of medical resources, but also is more convenient for people to monitor their physical condition, so has met with a warm reception. However, all of the devices in the terminals are electronic. Some small factors have an impact on the measuring result, lead to more or less deviation even mistakes. The paper researches on the impact that physical posture acts on the precision and deduces the functional relations between postures and deviation. How to design the healthcare terminals and guide the user to measure in the comfort posture to get the more precise result is the topic of the paper. As the verification, a series of experiment based on the design from the paper is carried out. Experimental results show that 1) the user comfort can be gauged and evaluated by psycho-physiological (medical) measurement and 2) the comfort-gauged formulation works in the design methodology and 3) the design methodology is applicable in real designs.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"100 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":"127511450","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.2012.6380812
H. Chiu, C. Chuang, Yung-Chan Chen, Yang-Hang Fan, Yung-Han Kao, Hsi-Pin Ma, Hsin Chen, Yen-Chung Chang, S. Yeh
A wireless recording system for monitoring the different depth of brain is proposed. The 16-channel recording system includes low-noise amplifiers, analog multiplexers, analog to digital converters, Bluetooth module and an information hub. Neural signals are time-division multiplexed and sampled by an on-board 8-bit analog to digital converter at up to 12k sample/s per channel and overall voltage gain is 5000 V/V. Each channel is controlled by a GUI to fit different kinds of neural signals, which can be observed independently in a PC. We have demonstrated that the board could provide a useful measurement of a rat's neural signals in vivo. The recorded signals can be further processed by the fast Fourier transform to analyze the recorded neural signal activity.
{"title":"An integrated system for brain machine interface","authors":"H. Chiu, C. Chuang, Yung-Chan Chen, Yang-Hang Fan, Yung-Han Kao, Hsi-Pin Ma, Hsin Chen, Yen-Chung Chang, S. Yeh","doi":"10.1109/HealthCom.2012.6380812","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380812","url":null,"abstract":"A wireless recording system for monitoring the different depth of brain is proposed. The 16-channel recording system includes low-noise amplifiers, analog multiplexers, analog to digital converters, Bluetooth module and an information hub. Neural signals are time-division multiplexed and sampled by an on-board 8-bit analog to digital converter at up to 12k sample/s per channel and overall voltage gain is 5000 V/V. Each channel is controlled by a GUI to fit different kinds of neural signals, which can be observed independently in a PC. We have demonstrated that the board could provide a useful measurement of a rat's neural signals in vivo. The recorded signals can be further processed by the fast Fourier transform to analyze the recorded neural signal activity.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"34 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":"129942311","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.2012.6379416
Liang Xiao, Gráinne Cousins, T. Fahey, B. Dimitrov, L. Hederman
Clinical guidelines are central to the implementation of clinical decision support systems (CDSSs). Addition or revision of clinical guidelines usually causes the (re-) development of new or existing CDSSs. The separate maintenance of clinical knowledge and their driving systems implies extra system development cost and low knowledge delivery efficiency. We propose, in this paper, an approach to liaise the two activities and support a complete knowledge-driven CDSS architecture. It will accommodate and disseminate new knowledge with minimum efforts required to make relevant changes to the systems, but make use of the new knowledge whenever it becomes available. A Multi-Agent System architecture and a rule-based knowledge repository are put together to realize this goal.
{"title":"Developing a rule-driven clinical decision support system with an extensive and adaptative architecture","authors":"Liang Xiao, Gráinne Cousins, T. Fahey, B. Dimitrov, L. Hederman","doi":"10.1109/HealthCom.2012.6379416","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379416","url":null,"abstract":"Clinical guidelines are central to the implementation of clinical decision support systems (CDSSs). Addition or revision of clinical guidelines usually causes the (re-) development of new or existing CDSSs. The separate maintenance of clinical knowledge and their driving systems implies extra system development cost and low knowledge delivery efficiency. We propose, in this paper, an approach to liaise the two activities and support a complete knowledge-driven CDSS architecture. It will accommodate and disseminate new knowledge with minimum efforts required to make relevant changes to the systems, but make use of the new knowledge whenever it becomes available. A Multi-Agent System architecture and a rule-based knowledge repository are put together to realize this goal.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"10 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":"129972918","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.2012.6379411
Jirí Navrátil, S. Ubik
In medical education, more than in other areas, practices are used characterized as “learning by doing” and “learning through examples”. Video and videoconferencing are effective tools which can play an important role in this process.
{"title":"Surgery telepresence for universities and symposia","authors":"Jirí Navrátil, S. Ubik","doi":"10.1109/HealthCom.2012.6379411","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379411","url":null,"abstract":"In medical education, more than in other areas, practices are used characterized as “learning by doing” and “learning through examples”. Video and videoconferencing are effective tools which can play an important role in this process.","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":"130219446","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.2012.6379372
A. Kailas, D. Stefanidis
As the world moves towards the reality of “intelligent infrastructures,” many avenues open up for research on sensor - based intelligent and ubiquitous systems. Healthcare is one such application area, where sensors and mobile platforms are becoming more useful and hence the idea of analyzing the data feeds from sensors to extract useful meanings is gaining in popularity. Various data-mining techniques are used in this regard. Apart from these, stream processing and continuous event processing are also becoming popular. This paper is a broad survey article where we look into the emerging trends in Ubiquitous Healthcare Information Systems, especially, various approaches taken in order to successfully use data analytics techniques on the data streams coming from the sensors and mobile platforms to cluster patients into similar groups, or analytics processing on streaming data to detect abnormal medical conditions as early as possible. The paper also refers to a recent research on non-parametric classification of data, which has the potential to discover interesting patterns within physiological data, which may otherwise remain undetected and advocates it's case in the health domain. Considering the size of the population and hence the volume of data, there are several architectural challenges such as scalability and availability of the platforms and handling of “big-data.” We try to summarize how these problems have been addressed and whether the solutions are adequate or not.
{"title":"Notice of Violation of IEEE Publication PrinciplesOn medical informatics for pervasive and ubiquitous computing in eHealth","authors":"A. Kailas, D. Stefanidis","doi":"10.1109/HealthCom.2012.6379372","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379372","url":null,"abstract":"As the world moves towards the reality of “intelligent infrastructures,” many avenues open up for research on sensor - based intelligent and ubiquitous systems. Healthcare is one such application area, where sensors and mobile platforms are becoming more useful and hence the idea of analyzing the data feeds from sensors to extract useful meanings is gaining in popularity. Various data-mining techniques are used in this regard. Apart from these, stream processing and continuous event processing are also becoming popular. This paper is a broad survey article where we look into the emerging trends in Ubiquitous Healthcare Information Systems, especially, various approaches taken in order to successfully use data analytics techniques on the data streams coming from the sensors and mobile platforms to cluster patients into similar groups, or analytics processing on streaming data to detect abnormal medical conditions as early as possible. The paper also refers to a recent research on non-parametric classification of data, which has the potential to discover interesting patterns within physiological data, which may otherwise remain undetected and advocates it's case in the health domain. Considering the size of the population and hence the volume of data, there are several architectural challenges such as scalability and availability of the platforms and handling of “big-data.” We try to summarize how these problems have been addressed and whether the solutions are adequate or not.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"21 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":"128772364","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.2012.6379435
Shih-Wei Chen, Y. Tseng, Tsai-Ya Lai
In order to promote the modernization of traditional Chinese medicine (TCM), a platform that allows different legacy TCM information systems to interact, intercommunicate, and interoperate with each other by using standard scientific format and systematical information management is necessary. In this study, a design of an ontology-based service-oriented architecture (SOA) framework is proposed to boost the scientific standardization and systematical management of TCM information. By utilizing the information and communication technologies (ICT), this latitudinal framework is designed to have four layers, including a presentation layer for services discovery and selection, a business layer for services operation, a data access layer for database synchronization management, and a technology layer. A longitudinal information technology layer that allows data integration, access, and exchange under the privacy and security policy is charging of monitoring and managing information activities in the four layers.
{"title":"The design of an ontology-based service-oriented architecture framework for traditional chinese medicine healthcare","authors":"Shih-Wei Chen, Y. Tseng, Tsai-Ya Lai","doi":"10.1109/HealthCom.2012.6379435","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379435","url":null,"abstract":"In order to promote the modernization of traditional Chinese medicine (TCM), a platform that allows different legacy TCM information systems to interact, intercommunicate, and interoperate with each other by using standard scientific format and systematical information management is necessary. In this study, a design of an ontology-based service-oriented architecture (SOA) framework is proposed to boost the scientific standardization and systematical management of TCM information. By utilizing the information and communication technologies (ICT), this latitudinal framework is designed to have four layers, including a presentation layer for services discovery and selection, a business layer for services operation, a data access layer for database synchronization management, and a technology layer. A longitudinal information technology layer that allows data integration, access, and exchange under the privacy and security policy is charging of monitoring and managing information activities in the four layers.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"105 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":"121288093","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.2012.6380075
Yin-Pin Yang, Tsai-Ya Lai
For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.
对于每个治疗方案，患者依从性可以通过应用智能关键字(PAMSIK)的患者依从性管理系统进行管理，审核和改进，该系统使用智能关键字将用户导航到目标及时知识，并利用集体力量-同伴学习来鼓励患者。三个主要组件是:一个自主、智能、友好的用户行为收集器(User Behavior Collector)，用于识别患者的个人依从性问题;一个患者相似性分析器(patient Similarity Analyzer)，用于动态聚类同行;一个治疗服务调度员(Cure Service Dispatcher)，用于推荐合适的治疗方法，从而向用户提供及时的服务和内容。
{"title":"The development of a Patient Adherence Management System Applying Intelligent Keyword (PAMSIK) empowered by peer learning mechanism","authors":"Yin-Pin Yang, Tsai-Ya Lai","doi":"10.1109/HealthCom.2012.6380075","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380075","url":null,"abstract":"For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.","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":"116705826","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.2012.6379473
D. Bouslimi, G. Coatrieux, Michel Cozic, C. Roux
In case of litigation in telemedicine applications, one main issue is to determine liabilities of each physician involved in the data exchange. To achieve this goal, we propose an efficient watermarking based telemedicine protocol. Its objective is not only to ensure the security of data but also to provide evidence that an exchange took place. We show how watermarking in combination with cryptographic mechanisms and a third party can enforce data and exchange traceability. The efficiency of our solution is demonstrated by means of a security analysis.
{"title":"A telemedicine protocol based on watermarking evidence for identification of liabilities in case of litigation","authors":"D. Bouslimi, G. Coatrieux, Michel Cozic, C. Roux","doi":"10.1109/HealthCom.2012.6379473","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379473","url":null,"abstract":"In case of litigation in telemedicine applications, one main issue is to determine liabilities of each physician involved in the data exchange. To achieve this goal, we propose an efficient watermarking based telemedicine protocol. Its objective is not only to ensure the security of data but also to provide evidence that an exchange took place. We show how watermarking in combination with cryptographic mechanisms and a third party can enforce data and exchange traceability. The efficiency of our solution is demonstrated by means of a security analysis.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"24 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":"121597208","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.2012.6379468
Yingrui Zhang, A. Huang, Daoxian Wang, Xiaohui Duan, B. Jiao, Linzhen Xie, Fan Liu, Shan Wang
Today, IT technology plays a key role in promoting health services which provide medical information over a digital information system. Unfortunately, the digitized data may be not understood by medical professionals due to the limitation of conventional medical signal recognition. To deal with this challenge, we design a 3R (Retiming, Regeneration, Reshaping) dataflow engine that can restore electrophysiological data into its original medical patterns. We carried out clinical trials on our cloud platform in PKU's People Hospital. Clinical results proved that our solution produces high playback accuracy and matches with medical diagnosis criteria very well. With the proof of our clinical tests, this solution can be a very useful tool for clinical treatment and diagnosis in medical platforms.
{"title":"A 3R dataflow engine for restoring electrophysiological signals in telemedicine cloud platforms","authors":"Yingrui Zhang, A. Huang, Daoxian Wang, Xiaohui Duan, B. Jiao, Linzhen Xie, Fan Liu, Shan Wang","doi":"10.1109/HealthCom.2012.6379468","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379468","url":null,"abstract":"Today, IT technology plays a key role in promoting health services which provide medical information over a digital information system. Unfortunately, the digitized data may be not understood by medical professionals due to the limitation of conventional medical signal recognition. To deal with this challenge, we design a 3R (Retiming, Regeneration, Reshaping) dataflow engine that can restore electrophysiological data into its original medical patterns. We carried out clinical trials on our cloud platform in PKU's People Hospital. Clinical results proved that our solution produces high playback accuracy and matches with medical diagnosis criteria very well. With the proof of our clinical tests, this solution can be a very useful tool for clinical treatment and diagnosis in medical platforms.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"22 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":"123618131","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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