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2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)最新文献

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Simplifying biomedical data sharing through a web portal generator 通过web门户生成器简化生物医学数据共享
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531097
Andrew Malta, J. Oliveira
{"title":"Simplifying biomedical data sharing through a web portal generator","authors":"Andrew Malta, J. Oliveira","doi":"10.1109/HealthCom.2018.8531097","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531097","url":null,"abstract":"Despite the huge amount of biomedical data that is currently being collected, they end up many times neglected in internal silos, hindering its discovery and exploration at a large scale. One issue that contributes to this scenario is the complexity in constructing a full-fleshed web-system, to capture and manage these multiple and heterogeneous datasets.To help simplifying this task, we propose an semi-automated solution for the development of web-based data catalogs, targeted for non technical users. Starting from a simple data model description, the system automatically generates user interfaces and services for data management. This engine is being successfully used in several European research communities.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122318325","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}
引用次数: 0
A Proposal for Monitoring People of Health Risk Group Using IoT Technologies 利用物联网技术监测健康风险人群的建议
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531196
Mauricio Moreira Neto, E. Coutinho, L. O. Moreira, J. Souza, N. Agoulmine
{"title":"A Proposal for Monitoring People of Health Risk Group Using IoT Technologies","authors":"Mauricio Moreira Neto, E. Coutinho, L. O. Moreira, J. Souza, N. Agoulmine","doi":"10.1109/HealthCom.2018.8531196","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531196","url":null,"abstract":"Internet of Things (IoT) has emerged due to several advances in microelectronics and wireless communication technologies. IoT can be considered as a set of small devices, called smart objects, capable of monitor and act in the environment in which they are inserted. Many research has come up from IoT, such as precision farming, smart cities, healthcare, and wearable. In IoT domain, healthcare has been highlight due to the growing demand of the population for monitoring people belonging to health risk groups. In this paper, we propose an approach for monitoring people who are part of risk groups, for example, sedentary people, using IoT technologies. Our approach monitors users’ physiological data through wearable devices and sends this data to a computational cloud. In the cloud, these data are processed, stored and presented to the healthcare professional, who will monitor and establish new activities for the user. In our work, we built a mobile and web applications, and we used collected data from sensors and a dataset of health data.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130404110","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}
引用次数: 13
Analysis of Chaotic Behaviors in Gait of the Elderly using the CAREN Extended System 基于CAREN扩展系统的老年人步态混沌行为分析
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531131
Henryk Josiński, P. Grabiec, Magdalena Pawlyta, K. Wojciechowski, A. Świtoński, A. Michalczuk
{"title":"Analysis of Chaotic Behaviors in Gait of the Elderly using the CAREN Extended System","authors":"Henryk Josiński, P. Grabiec, Magdalena Pawlyta, K. Wojciechowski, A. Świtoński, A. Michalczuk","doi":"10.1109/HealthCom.2018.8531131","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531131","url":null,"abstract":"The aim of this study was to analyze the presence of chaotic behaviors in gait of elderly subjects (‘65+’) by means of the largest short-term Lyapunov exponent computed for six scenarios which differed with respect to ground inclination, walking speed and optional external perturbation. The largest Lyapunov exponent quantifies the amount of chaos in a time series. The bigger positive Lyapunov exponent value, the greater system’s sensitivity to infinitesimal changes in initial conditions at the beginnings of successive gait cycles and, thus, a chaotic behavior during walking. The time series representing the joint angles of ankle, knee and hip joints were recorded in the CAREN Extended environment using the motion capture technique. Data collected for respective joints were grouped forming for each joint a multivariate time series – input data for calculation of the largest Lyapunov exponent.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132136164","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}
引用次数: 2
Wireless Multi-Hop Networking for a Group of Exercisers Spread in a Sports Ground 运动场地内锻炼者群的无线多跳网络
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531187
Takuma Hamagami, Yasutaka Kawamoto, S. Hara, H. Yomo, R. Miyamoto, Takunori Shimazaki, H. Okuhata
{"title":"Wireless Multi-Hop Networking for a Group of Exercisers Spread in a Sports Ground","authors":"Takuma Hamagami, Yasutaka Kawamoto, S. Hara, H. Yomo, R. Miyamoto, Takunori Shimazaki, H. Okuhata","doi":"10.1109/HealthCom.2018.8531187","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531187","url":null,"abstract":"Reliable and real-time vital signs monitoring is essential to promote health and prevent disease/injury for a group of exercisers spread in a sports ground such as schoolchildren and professional athletes. For that purpose, we developed a wireless vital signs collection system and confirmed it worked effectively, but unfortunately, it required an infrastructure of data forwarding nodes placed around the area of interest. We really wanted to realize it infrastructurelessly.Now, we are developing an infrastructureless multi-hop wireless network system which has the same vital sensing and wireless communication functions, and we have so far successfully conducted one indoor experiment and two outdoor experiments for footballer subjects. In this paper, we will outline the design concept and show the experimental results.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134243651","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}
引用次数: 11
A Blockchain-based Architecture Framework for Secure Sharing of Personal Health Data 基于区块链的个人健康数据安全共享架构框架
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531160
S. Amofa, Emmanuel Boateng Sifah, Kwame Opuni-Boachie Obour Agyekum, Abla Smahi, Qi Xia, James C. Gee, Jianbin Gao
{"title":"A Blockchain-based Architecture Framework for Secure Sharing of Personal Health Data","authors":"S. Amofa, Emmanuel Boateng Sifah, Kwame Opuni-Boachie Obour Agyekum, Abla Smahi, Qi Xia, James C. Gee, Jianbin Gao","doi":"10.1109/HealthCom.2018.8531160","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531160","url":null,"abstract":"Health information exchanges have been popular for some time with their advantages known and widely researched. In spite of their utility in increasing provider efficiency and decreasing administrative costs, one challenge that has persisted is the data owners inability to control data after transmission. The lack of technical mechanisms to effectively control patients’ health data in the network significantly affects participation of health and medical institutions while perpetrating the silo-based data management that locks value and potential inherent in the data. This not only affects researchers due to the lack of data for research and analysis but the quality of life of patients.We present a blockchain-supported architectural framework for secure control of personal data in a health information exchange by pairing user-generated acceptable use policies with smart contracts. We highlight the merits of our system, its user-centric focus and also show experimental results along with directions for extending our work. The framework introduces minimal risk to data by architecting a mechanism for controlling data after sharing. In adopting our framework, health service providers can deliver a stronger assurance for data management than is possible with current systems.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942964","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}
引用次数: 44
Detecting the Number of Persons in the Bed Area to Enhance the Safety of Artificially Ventilated Persons 检测床区人数，提高人工通风人员的安全性
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531174
A. Gerka, M. Pfingsthorn, C. Lüpkes, Kevin Sparenberg, M. Frenken, Christian Lins, A. Hein
{"title":"Detecting the Number of Persons in the Bed Area to Enhance the Safety of Artificially Ventilated Persons","authors":"A. Gerka, M. Pfingsthorn, C. Lüpkes, Kevin Sparenberg, M. Frenken, Christian Lins, A. Hein","doi":"10.1109/HealthCom.2018.8531174","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531174","url":null,"abstract":"Caregivers and relatives of artificially ventilated persons are under high pressure as errors or miscues in care activities can lead to the death of the patients. Therefore, the joint research project \"MeSiB\" aims at implementing a safety and alerting system, which analyzes the sensor events, infers whether the situation is dangerous, and, if so, alarms the caregiver and/or a telemedicine station. Among other factors, the number of persons in the bed area of the patient is an essential information for this system. Therefore, a subsystem of this safety system detects the number of persons with an infrared array sensor (Panasonic Grid-EYE). This subsystem is presented in this work. The paper describes the general approach and system design, and how the subsystem integrates into the MeSiB architecture. The structure of the software is presented, and different machine learning approaches are tested. Finally, the results of an evaluation study in a realistic home care environment are presented and discussed. In this evaluation study, the Random Forest classifier was used and detection rates of 84% and 96% for two different scenarios were achieved.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124056392","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}
引用次数: 2
A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold 基于Kullback-Leibler正则黎曼流形的脑电四类运动图像分类方法
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531086
P. Mishra, Jagadish Bandaru, P. R. S. K. Malyala, P. Rajalakshmi, D. S. Reddy
{"title":"A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold","authors":"P. Mishra, Jagadish Bandaru, P. R. S. K. Malyala, P. Rajalakshmi, D. S. Reddy","doi":"10.1109/HealthCom.2018.8531086","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531086","url":null,"abstract":"Recent advances in the Brain-Computer Interface (BCI) systems state that the accurate Motor Imagery (MI) classification using Electroencephalogram (EEG) plays a vital role. In this paper, we propose a novel real-time feature extraction and classification architecture for four class MI using a combination of Kullback-Leibler Regularized Riemannian Mean (KLRRM) and Linear SVM. By using the KL regularization, the robustness of the features extracted to the noise and outliers is improved. The performance of the proposed architecture is analyzed on the four class MI dataset 2a from the BCI Competition IV. The performance analysis shows that the proposed architecture achieves an average classification accuracy of 74.43% and 51.53% for both the good and noisy subjects respectively. Also, the emphasis is laid on understanding the performance of regularization, and the improvement of robustness to the noise and outliers is demonstrated using the noisy subjects.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114403978","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}
引用次数: 9
Healthcom 2018 Committees Healthcom 2018委员会
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/healthcom.2018.8531104
{"title":"Healthcom 2018 Committees","authors":"","doi":"10.1109/healthcom.2018.8531104","DOIUrl":"https://doi.org/10.1109/healthcom.2018.8531104","url":null,"abstract":"","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750334","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}
引用次数: 0
A Mobile Health Solution for Medication Adherence Intervention and its Real World Evidence 药物依从性干预的移动医疗解决方案及其真实世界证据
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531179
Chao Jiang, Hongguang Zhang, Kai Liu, Shibao Zheng, Youren Yang, Fei Tian, Chu Feng
{"title":"A Mobile Health Solution for Medication Adherence Intervention and its Real World Evidence","authors":"Chao Jiang, Hongguang Zhang, Kai Liu, Shibao Zheng, Youren Yang, Fei Tian, Chu Feng","doi":"10.1109/HealthCom.2018.8531179","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531179","url":null,"abstract":"This paper proposes a mobile health solution to improve patients’ medication adherence. It leverages both mobile and cloud technologies with proprietary algorithms to provide automatic, personalized and contextual adherence interventions. After a nine-month real-world trial, the evidence of medication adherence demonstrates the effectiveness of our solution.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114356079","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}
引用次数: 2
SMART medical polydimethylsiloxane for monitoring vital signs of the human body 用于监测人体生命体征的SMART医用聚二甲基硅氧烷
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531190
J. Nedoma, M. Fajkus, J. Cubik, S. Kepak, R. Martínek, J. Vanus, René Jaros
{"title":"SMART medical polydimethylsiloxane for monitoring vital signs of the human body","authors":"J. Nedoma, M. Fajkus, J. Cubik, S. Kepak, R. Martínek, J. Vanus, René Jaros","doi":"10.1109/HealthCom.2018.8531190","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531190","url":null,"abstract":"This paper focuses on current trends in non-invasive monitoring of vital functions of the human body using SMART sensors. It describes a sensor pad made of a thin layer of polydimethylsiloxane (PDMS), which contains one symmetrically positioned fibre Bragg grating (FBG). The PDMS material is immune to electromagnetic interferences (EMI) and inert to human skin. By combining fibre-optic technology and PDMS, the SMART PAD sensor is formed which is used not only for classical hospital environments, but also for electromagnetically interfered environments, for example magnetic resonance imaging (MRI). The basic monitored parameters described are the respiratory rate (RR) and heart rate (HR) of the human body. The results were obtained in a laboratory environment in a group of 10 volunteers upon their written consent. The acquired results were compared by the Bland-Altman (B-A) method, which belongs to the group of statistical methods in biomedical research.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127502888","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}
引用次数: 2
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