Pub Date : 2012-12-13DOI: 10.1109/HealthCom.2012.6379442
Mandy Yang, Xingzhou He, Lei Gao, Li Zhao
As chronic diseases have become very common recently, lots of people are faced with sub health problems. Two major reasons contributing to these problems are the increasingly busy lifestyle and working pressure. Therefore, People have no time to monitor their health although they are more and more concerned with health problems. This problem may be settled with the development of mobile communication. It is predicted that more 100 million people will own android phones by the end of 2012. The rapid development of mobile internet service and cloud computing will offer innovative method to monitor health status. This study describes a remote health monitoring service that provides an end-to-end solution.
{"title":"An innovative system of health monitoring using mobile phones","authors":"Mandy Yang, Xingzhou He, Lei Gao, Li Zhao","doi":"10.1109/HealthCom.2012.6379442","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379442","url":null,"abstract":"As chronic diseases have become very common recently, lots of people are faced with sub health problems. Two major reasons contributing to these problems are the increasingly busy lifestyle and working pressure. Therefore, People have no time to monitor their health although they are more and more concerned with health problems. This problem may be settled with the development of mobile communication. It is predicted that more 100 million people will own android phones by the end of 2012. The rapid development of mobile internet service and cloud computing will offer innovative method to monitor health status. This study describes a remote health monitoring service that provides an end-to-end solution.","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":"125355893","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.2012.6379452
N. Noury, Kim-Anh Quach, M. Berenguer, M. Bouzid, H. Teyssier
The increase of the elderly population poses today many questions to maintain elderly people in their own life independently and in autonomy. Daily activity of humans is correlated to the homeostasis and therefore the quantification of the daily activities plays an important role in the evaluation of the health and early detection of the signs of loss of autonomy. The actimetry has a great potential on the market of technologies for the maintenance to residence of the elderly. We propose to follow up actimetric data by using kinematic sensors integrated in a smartphone. The smartphone is a good candidate as this technology is already accepted in daily life.
{"title":"A feasibility study of using a smartphone to monitor mobility in elderly","authors":"N. Noury, Kim-Anh Quach, M. Berenguer, M. Bouzid, H. Teyssier","doi":"10.1109/HealthCom.2012.6379452","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379452","url":null,"abstract":"The increase of the elderly population poses today many questions to maintain elderly people in their own life independently and in autonomy. Daily activity of humans is correlated to the homeostasis and therefore the quantification of the daily activities plays an important role in the evaluation of the health and early detection of the signs of loss of autonomy. The actimetry has a great potential on the market of technologies for the maintenance to residence of the elderly. We propose to follow up actimetric data by using kinematic sensors integrated in a smartphone. The smartphone is a good candidate as this technology is already accepted in daily life.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"33 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":"124442690","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.2012.6379421
B. Zamaere, M. Hidell, Peter Sjödin
This paper addresses the challenges of reliably, and securely, extending a healthcare provider's network into the homes of its patients in order to provide Remote Patient Monitoring (RPM) services. It describes the Carenet Virtual Private Network (CVPN) solution, a multi-homed VPN solution implemented as a virtual device driver under Linux. We describe CVPN's architecture and implementation, motivating its design decisions. The initial experimental evaluation, of our proof-of-concept prototype, shows that CVPN's per packet overhead, forwarding delay, and fail-over time are reasonable for healthcare monitoring applications and time-sensitive synchronous communications.
{"title":"CVPN: A multi-homed VPN solution for remote patient monitoring","authors":"B. Zamaere, M. Hidell, Peter Sjödin","doi":"10.1109/HealthCom.2012.6379421","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379421","url":null,"abstract":"This paper addresses the challenges of reliably, and securely, extending a healthcare provider's network into the homes of its patients in order to provide Remote Patient Monitoring (RPM) services. It describes the Carenet Virtual Private Network (CVPN) solution, a multi-homed VPN solution implemented as a virtual device driver under Linux. We describe CVPN's architecture and implementation, motivating its design decisions. The initial experimental evaluation, of our proof-of-concept prototype, shows that CVPN's per packet overhead, forwarding delay, and fail-over time are reasonable for healthcare monitoring applications and time-sensitive synchronous communications.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 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":"123417163","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.2012.6379469
Rodrigo Belisario Ramos, F. Pacheco, L. Schwarz, B. G. Zapirain
The objective of this project is to design and develop a multi-conference and multi-platform application for phones as an m-health system, to improve the communication between healthcare providers and healthcare recipients, to eliminate the obstacles of distance, providing faster and specialized services to people living in remote areas. There is a variety of operating systems for smart-phones on the market. This project focus on Apple iOS, Android or BlackBerry-playbooks, as they are the most commonly used operating systems, nowadays. Currently the system was tested on Android smart-phones and it showed stable providing text and video communication between two individuals.
{"title":"Design and development of an m-health multi-conference and multi-platform application","authors":"Rodrigo Belisario Ramos, F. Pacheco, L. Schwarz, B. G. Zapirain","doi":"10.1109/HealthCom.2012.6379469","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379469","url":null,"abstract":"The objective of this project is to design and develop a multi-conference and multi-platform application for phones as an m-health system, to improve the communication between healthcare providers and healthcare recipients, to eliminate the obstacles of distance, providing faster and specialized services to people living in remote areas. There is a variety of operating systems for smart-phones on the market. This project focus on Apple iOS, Android or BlackBerry-playbooks, as they are the most commonly used operating systems, nowadays. Currently the system was tested on Android smart-phones and it showed stable providing text and video communication between two individuals.","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":"129753706","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}
Traditional Chinese Medicine (TCM) is a clinical medicine, which focuses on human physiology, pathology, diagnosis and treatment of diseases. Numerous clinical practice and theory research in the TCM field have accumulated huge amount of data. These data include TCM basic databases, TCM literature, as well as a large number of databases or data warehouse on TCM clinical diagnoses and treatment. More and more people pay attention to the discovery of hidden regularities of TCM clinical data. In recent years, topic model has been popularly used for text analysis and information retrieval by extracting latent and significant topics from corpus. In this paper, we apply the Link Latent Dirichlet Allocation (LinkLDA), to automatically extract the latent topic structures which contain the information of both symptoms and their corresponding herbs. By experimental results, the latent topic with symptoms and their corresponding herbs show clinical meaningful results. Furthermore, the model is also compared with other topic models, such as author-topic model, and the result of LinkLDA got better results.
{"title":"Using link topic model to analyze traditional Chinese Medicine Clinical symptom-herb regularities","authors":"Zaixing Jiang, Xuezhong Zhou, Xiaoping Zhang, Shibo Chen","doi":"10.1109/HealthCom.2012.6380057","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380057","url":null,"abstract":"Traditional Chinese Medicine (TCM) is a clinical medicine, which focuses on human physiology, pathology, diagnosis and treatment of diseases. Numerous clinical practice and theory research in the TCM field have accumulated huge amount of data. These data include TCM basic databases, TCM literature, as well as a large number of databases or data warehouse on TCM clinical diagnoses and treatment. More and more people pay attention to the discovery of hidden regularities of TCM clinical data. In recent years, topic model has been popularly used for text analysis and information retrieval by extracting latent and significant topics from corpus. In this paper, we apply the Link Latent Dirichlet Allocation (LinkLDA), to automatically extract the latent topic structures which contain the information of both symptoms and their corresponding herbs. By experimental results, the latent topic with symptoms and their corresponding herbs show clinical meaningful results. Furthermore, the model is also compared with other topic models, such as author-topic model, and the result of LinkLDA got better results.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"14 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":"128756797","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}
Since using Internet of things has been developing in various field recently, the importance of healthy society in business interactions should be counted. Depression is an issue which endangers the public health and cause business recession. Also it has great effect on quality of life and daily activities, such as anxiety, low energy, poor concentration, poor sleep and loss of interest. One of the best ways to improve diagnose and treat depression is to the object which is used by people inside or outside of home can be measured individually so that relevant organizations can identify to what extended is anyone depressed. Consequently solving the problem of depression not only improves social relations, but also increases profitability of business interactions.
{"title":"Benefit of internet of things to improve business interaction with depression prevention and treatment","authors":"Mohsen Yaghoubi Suraki, Morteza Yaghoubi Suraki, Omid Nejati","doi":"10.1109/HealthCom.2012.6379448","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379448","url":null,"abstract":"Since using Internet of things has been developing in various field recently, the importance of healthy society in business interactions should be counted. Depression is an issue which endangers the public health and cause business recession. Also it has great effect on quality of life and daily activities, such as anxiety, low energy, poor concentration, poor sleep and loss of interest. One of the best ways to improve diagnose and treat depression is to the object which is used by people inside or outside of home can be measured individually so that relevant organizations can identify to what extended is anyone depressed. Consequently solving the problem of depression not only improves social relations, but also increases profitability of business interactions.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"45 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":"121331577","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.2012.6379477
Junjun Kong, Jiannong Cao, Yang Liu, Yao Guo, W. Shao
Pervasive computing technologies can benefit the injured, disabled or elderly people in their daily lives, and smart wheelchair has been a representative of this kind of technologies. However, most existing smart wheelchairs have limitations on extensibility and flexibility of building new functionalities. One big reason is they are just stand-alone ones considering other wheelchairs and surrounding things as dummy objects. To address this issue, we proposed an integrated and collaborative approach: Smarter Wheelchairs that can “talk” to each other, and even “talk” to other things in the surrounding. Smarter Wheelchairs take advantages of smart objects deployed in living environment or hospital environment. Smarter Wheelchairs can harness functions provided by smart objects, therefore, their functionality can be flexibly extended. We have implemented and evaluated a prototype system of Smarter Wheelchairs to demonstrate the feasibility and efficiency of our approach.
{"title":"Smarter wheelchairs who can talk to each other: An integrated and collaborative approach","authors":"Junjun Kong, Jiannong Cao, Yang Liu, Yao Guo, W. Shao","doi":"10.1109/HEALTHCOM.2012.6379477","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2012.6379477","url":null,"abstract":"Pervasive computing technologies can benefit the injured, disabled or elderly people in their daily lives, and smart wheelchair has been a representative of this kind of technologies. However, most existing smart wheelchairs have limitations on extensibility and flexibility of building new functionalities. One big reason is they are just stand-alone ones considering other wheelchairs and surrounding things as dummy objects. To address this issue, we proposed an integrated and collaborative approach: Smarter Wheelchairs that can “talk” to each other, and even “talk” to other things in the surrounding. Smarter Wheelchairs take advantages of smart objects deployed in living environment or hospital environment. Smarter Wheelchairs can harness functions provided by smart objects, therefore, their functionality can be flexibly extended. We have implemented and evaluated a prototype system of Smarter Wheelchairs to demonstrate the feasibility and efficiency of our approach.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 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":"121786303","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}
With the unprecedented aging of population, chronic disease become a serious problem in modern medical area. Recent advances of wireless technology make the health monitoring in home to be more convenient for the chronic disease. Reducing the influence of the interference from the other wireless equipment is one of the most important problems in wireless physical parameter monitoring device in healthcare field, as reliable data transmitting is vital in medical care. In this paper, we propose a novel interference avoidance strategy that can greatly reduce the influence of the interference from other wireless equipment to wireless physical parameter monitoring devices in the hospital or home environment. Experimental results show that the strategy has good effect on interference avoidance and reduce the package loss rate.
{"title":"An interference avoidance strategy for zigbee based WeHealth monitoring system","authors":"Lichen Lee, Guixia Kang, Xidong Zhang, Xiangyi Li, Longfeng Chen","doi":"10.1109/HealthCom.2012.6380068","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380068","url":null,"abstract":"With the unprecedented aging of population, chronic disease become a serious problem in modern medical area. Recent advances of wireless technology make the health monitoring in home to be more convenient for the chronic disease. Reducing the influence of the interference from the other wireless equipment is one of the most important problems in wireless physical parameter monitoring device in healthcare field, as reliable data transmitting is vital in medical care. In this paper, we propose a novel interference avoidance strategy that can greatly reduce the influence of the interference from other wireless equipment to wireless physical parameter monitoring devices in the hospital or home environment. Experimental results show that the strategy has good effect on interference avoidance and reduce the package loss rate.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 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":"126079345","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.2012.6379374
J. R. G. Braga, Alexandre Carlos Brandão Ramos, Álvaro Antônio Alencar de Queiroz
Over the last century there has been a considerable increase in human longevity and this made a large number of people to reach a critical age for development of several diseases. As a result of this increase in life expectancy health issues related to ageing appeared, some examples are hypercholesterolemia, hyperglycemia and increased levels of blood urea. This paper presents a portable and low cost system using Artificial Neural Networks to Hemo metabolites identification. The system developed is based in amperometric biosensors and is able to perform the identification of glucose, cholesterol and urea concentrations in the blood. The main goals of this system is: the identification of three types of Hemo metabolites with their concentrations, the low cost of the entire system and the reuse capability of the biosensor. Cost of the entire system and the reuse capability of the biosensor.
{"title":"Using artificial neural nets to Hemo metabolites identification","authors":"J. R. G. Braga, Alexandre Carlos Brandão Ramos, Álvaro Antônio Alencar de Queiroz","doi":"10.1109/HealthCom.2012.6379374","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379374","url":null,"abstract":"Over the last century there has been a considerable increase in human longevity and this made a large number of people to reach a critical age for development of several diseases. As a result of this increase in life expectancy health issues related to ageing appeared, some examples are hypercholesterolemia, hyperglycemia and increased levels of blood urea. This paper presents a portable and low cost system using Artificial Neural Networks to Hemo metabolites identification. The system developed is based in amperometric biosensors and is able to perform the identification of glucose, cholesterol and urea concentrations in the blood. The main goals of this system is: the identification of three types of Hemo metabolites with their concentrations, the low cost of the entire system and the reuse capability of the biosensor. Cost of the entire system and the reuse capability of the biosensor.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"64 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":"127137715","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.2012.6379380
Bo Hu, A. Naseer, Kenichi Fukuda
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware decision making, deep analysis of user profile, and real-time interaction with the end users. While the initial market evaluation is promising, further improvement of the HOMEVMI prototypical system is forthcoming, based on feedback from market beneficiaries.
{"title":"A personalised lifestyle advisory system","authors":"Bo Hu, A. Naseer, Kenichi Fukuda","doi":"10.1109/HealthCom.2012.6379380","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379380","url":null,"abstract":"Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware decision making, deep analysis of user profile, and real-time interaction with the end users. While the initial market evaluation is promising, further improvement of the HOMEVMI prototypical system is forthcoming, based on feedback from market beneficiaries.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"47 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":"127475949","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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