13,585 Hits in 9.4 sec

Data Stream Quality Evaluation for the Generation of Alarms in the Health Domain

Saúl Fagúndez, Joaquín Fleitas, Adriana Marotta
2015 Journal of Intelligent Systems  
In order to achieve this, a data quality model for this kind of data streams and an architecture for the monitoring system are proposed.  ...  Moreover, our work introduces a mechanism for avoiding false alarms generated by data quality problems.  ...  In order to achieve this, a DQ model for the health sensors' data streams, an architecture for the monitoring system, and a mechanism for health alarm and DQ alarm generation are proposed.  ... 
doi:10.1515/jisys-2014-0166 fatcat:ckhmjdkb4bh77atkeudouzzvh4

Implementation of Artifact Detection in Critical Care: A Methodological Review

Shermeen Nizami, James R. Green, Carolyn McGregor
2013 IEEE Reviews in Biomedical Engineering  
Artifact Detection (AD) techniques minimize the impact of artifacts on physiologic data acquired in Critical Care Units (CCU) by assessing quality of data prior to Clinical Event Detection (CED) and Parameter  ...  Signal Quality Indicators (SQI) that are not yet formalised for useful integration in clinical workflows; (d) operate either in standalone mode or coupled with CED or PD applications; (e) are rarely evaluated  ...  A stream-centric algorithm aims to indicate, quantify or improve signal quality of the data stream for increased reliability.  ... 
doi:10.1109/rbme.2013.2243724 pmid:23372087 fatcat:qbl5kfzefrf4pbm2av3tzhrjve

Special Issue on Ambient Assisted Living

Philippe Le Parc
2015 Journal of Intelligent Systems  
The articles "Data Streams Quality Evaluation for the Generation of Alarms in Health Domain" and " Context-Aware Access Control Model for Privacy Support in Mobile-Based Assisted Living" are posed questions  ...  It is important to guarantee the quality of the data in order to raise alarm when needed and to guarantee the privacy of data while authorizing only the right persons or objects to consult them.  ...  It is obvious that the technology is there, that the needs are there, and that more research has to be conducted in order to make AAL easier to install, deploy, use, secure, etc. for the benefit of old  ... 
doi:10.1515/jisys-2015-0012 fatcat:ikha2wty2fda7apkmzzdwiyhky

ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance

Federica Paganelli, Emilio Spinicci, Dino Giuli
2008 International Journal of Telemedicine and Applications  
goal of improving patient quality of life.  ...  Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the  ...  The partners are Hewlett Packard Italy, Cattolica University of Piacenza, and the Italian National Inter-University Consortium for Telecommunications (CNIT).  ... 
doi:10.1155/2008/867639 pmid:18695739 pmcid:PMC2495075 fatcat:wjfxtjvqureihksyukvvjgcj3q

An Autonomic Monitoring Framework for QoS Management in Multi-service Networks [chapter]

Constantinos Marinos, Christos Argyropoulos, Mary Grammatikou, Vasilis Maglaris
2011 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
In this work, we present an autonomic monitoring framework for Quality of Service (QoS) management in multi-service networks.  ...  Our framework introduces aggregation mechanisms to deal with the excessive number of alarms, triggered in an autonomic networking environment.  ...  This paper was partially supported by EFIPSANS project (INFSO-ICT-215549) of the European Union's 7 th Framework Programme for Research & Technological Development.  ... 
doi:10.1007/978-3-642-21444-8_8 fatcat:rp5cvxsx4jc5zn4pa2rvxdanq4

Integrating Data, Models, and Reasoning in Critical Care

Thomas Heldt, Bill Long, George C. Verghese, Peter Szolovits, Roger G. Mark
2006 2006 International Conference of the IEEE Engineering in Medicine and Biology Society  
Providing life support in the ICU is becoming an increasingly complex task, however, because of the growing volume of relevant data from clinical observations, bedside monitors, mechanical ventilators,  ...  The enormous amount of ICU data and its poor organization makes its integration and interpretation time-consuming and inefficient.  ...  The authors gratefully acknowledge the contributions of Mohammed Saeed, Zaid Samar, Tushar Parlikar, and Dr. Gari Clifford throughout this project.  ... 
doi:10.1109/iembs.2006.259734 pmid:17946818 fatcat:it5wk4pqgbd3pjllq7iinygesq

Utilising Semantic Technologies for Decision Support in Dementia Care

T. Osman, S. Rmaswamy, S. Mahmoud, M. Saeed
2013 2013 UKSim 15th International Conference on Computer Modelling and Simulation  
The main objective of this work is to discuss our experience in utilising semantic technologies for building decision support in Dementia care systems that are based on the non-intrusive on the non-intrusive  ...  of decision support for remote healthcare systems.  ...  In the latter case, an alarm would be generated to the healthcare clinicians for immediate attention. B.  ... 
doi:10.1109/uksim.2013.110 dblp:conf/uksim/OsmanRMS13 fatcat:d2vuznujhzdkli44jxgjbgke4e

A Practitioner-Driven Research Agenda for Syndromic Surveillance

Richard S. Hopkins, Catherine C. Tong, Howard S. Burkom, Judy E. Akkina, John Berezowski, Mika Shigematsu, Patrick D. Finley, Ian Painter, Roland Gamache, Victor J. Del Rio Vilas, Laura C. Streichert
2017 Public health reports (1974)  
This article details the context of each topic and its implications for public health.  ...  The International Society for Disease Surveillance solicited input from its global surveillance network on key research questions, with the goal of improving syndromic surveillance practice.  ...  Gunn also served as guest editor for this special issue, "Syndromic Surveillance: The Value of Real-time Data for Public Health Action" in Public Health Reports.  ... 
doi:10.1177/0033354917709784 pmid:28692395 pmcid:PMC5676517 fatcat:ngxxnrpmpjhknoytzgcjarvkqm

Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

Dimitrios Triantafyllopoulos, Panagiotis Korvesis, Iosif Mporas, Vasileios Megalooikonomou
2015 Journal of medical systems  
The performance of this architecture is 13 examined for varying spatial resolution of the recorded data.  ...  In this paper, we present the implementation of a multimodal real-time system for 11 epilepsy management.  ...  Generally 21 in online frameworks an approximate result, with some reasonable guarantee on the quality of the 22 approximation, is acceptable [35].  ... 
doi:10.1007/s10916-015-0403-3 pmid:26643075 fatcat:qdft2r3w3vaz3n5qzjm4rjj6gy

Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation

Naoual El aboudi, Laila Benhlima
2018 Advances in Bioinformatics  
The growing amount of data in healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery.  ...  The main contribution of this paper is proposing an extensible big data architecture based on both stream computing and batch computing in order to enhance further the reliability of healthcare systems  ...  The quality of a given predictive model is evaluated by its accuracy.  ... 
doi:10.1155/2018/4059018 pmid:30034468 pmcid:PMC6032968 fatcat:yrfof632dbhh7fyak2yabdd474

Social Media Multidimensional Analysis for Intelligent Health Surveillance

María José Aramburu, Rafael Berlanga, Indira Lanza
2020 International Journal of Environmental Research and Public Health  
Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data in the context of Public Health Surveillance (PHS).  ...  In this way, the incoming data can be further filtered to cope with the goals of PHS systems. Results: We have evaluated our approach over a long-term stream of Twitter.  ...  Acknowledgments: We would like to thank the reviewers for their thoughtful comments and efforts towards improving our manuscript. Conflicts of Interest: "The authors declare no conflict of interest."  ... 
doi:10.3390/ijerph17072289 pmid:32231152 fatcat:fniq4yb4lvc35ns52y57ncjjza

Second international workshop on web science and information exchange in the medical web (MedEx 2011)

Kerstin Denecke, Peter Dolog
2011 Proceedings of the 20th international conference companion on World wide web - WWW '11  
The amount of Social Media Data dealing with medical and health issues increased significantly in the last couple of years.  ...  Facts, experiences, opinions or information on behavior can be found in the Medicine or Health 2.0 and could support a broad range of applications.  ...  and means of analysing large-scale medical web data o Criteria and methods to determine the quality of health content o Multilingual issues in health-related Web content o Processing streams of  ... 
doi:10.1145/1963192.1963330 dblp:conf/www/DeneckeD11 fatcat:fgbraxdhvjfdtfjocix3iilt44

A 5G-based eHealth monitoring and emergency response system: experience and lessons learned

Kiril Antevski, Luigi Girletti, Carlos J. Bernardos, Antonio De la Oliva, Jorge Baranda, Josep Mangues-Bafalluy
2021 IEEE Access  
This article discusses the implementation and validation of an eHealth service specially tailored for the Emergency Services of the Madrid Municipality.  ...  This new vertical application makes use of the novel characteristics of 5G, enabling dynamic instantiation of services at the edge, a federation of domains and execution of real on-the-field augmented  ...  ACKNOWLEDGMENT The authors would like to thank SAMUR-PC for providing anonymized data improving the design and development of the work.  ... 
doi:10.1109/access.2021.3114593 fatcat:vhqkxwboe5cfphrr5v7mp6m6iq

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Zhao-xia Lu, Peng Qian, Dan Bi, Zhe-wei Ye, Xuan He, Yu-hong Zhao, Lei Su, Si-liang Li, Zheng-long Zhu
2021 Current Medical Science  
With the development of advanced technologies such as the Internet of Things (IoT), cloud computing, big data, and 5G mobile networks, AI technology has been more widely adopted in the medical field.  ...  In this work, we examine the technical basis of IoT, cloud computing, big data analysis and machine learning involved in clinical medicine, combined with concepts of specific algorithms such as activity  ...  data for verification and evaluation.  ... 
doi:10.1007/s11596-021-2486-z pmid:34939144 pmcid:PMC8693843 fatcat:3g3qpksktjhv5koqs3i7ylco7y

Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control

Jude Adeleke, Deshendran Moodley, Gavin Rens, Aderemi Adewumi
2017 Sensors  
This study integrates a statistical machine learning based predictive model in a Semantic Sensor Web using stream reasoning. The approach is evaluated in an indoor air quality monitoring case study.  ...  Semantic Sensor Web technologies have been well researched and used for environmental monitoring applications to expose sensor data for analysis in order to provide responsive actions in situations of  ...  Naidoo and members of his team Jafta and Miss Busisiwe Shezi, for their communications and field works on the cohort study.  ... 
doi:10.3390/s17040807 pmid:28397776 pmcid:PMC5422168 fatcat:6pnv3bnsxrdz3nmwlgpndzbpgu
« Previous Showing results 1 — 15 out of 13,585 results