Imperial College London

DrBennyLo

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Visiting Reader
 
 
 
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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Akay:2016:10.1109/JBHI.2016.2559138,
author = {Akay, M and Coatrieux, G and Hao, Y and Fotiadis, DI and Laine, A and Lo, B and Nikita, KS and Noury, N and Rodrigues, J and Wang, MD},
doi = {10.1109/JBHI.2016.2559138},
journal = {IEEE Journal of Biomedical and Health Informatics},
pages = {731--732},
title = {Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014},
url = {http://dx.doi.org/10.1109/JBHI.2016.2559138},
volume = {20},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The papers in this special section were presented at three well-known conferences organized in 2014: EAI Mobihealth, IEEE HealthCom, and IEEE Biomedical and Health Informatics. EAI Mobihealth is an annually organized conference, which started in 2010, to address the demands of the rapidly evolving disciplines of wireless communications, mobile computing, and sensing technologies in healthcare. The IEEE-Healthcom is held every year since 1999 in different countries in Asia, Europe, and in America. It aims at bringing together interested parties working in the field of healthcare to exchange ideas, discuss innovative and emerging solutions, and develop collaborations. The IEEE Biomedical Health Informatics Conference started in 2013 and is organized every year providing the forum to showcase enabling technologies of computing, devices, imaging, sensors, and systems that optimize the acquisition, transmission, processing, storage, retrieval, visualization, and analysis of medical data. The aim of this special section is to present an overview of recent advances in sensing technologies, monitoring of patients, security and privacy of data transfer, provision of collaborative environments, data gathering and analysis from various sources, and predictive models, which all finally target the best strategy for patient monitoring and treatment.
AU - Akay,M
AU - Coatrieux,G
AU - Hao,Y
AU - Fotiadis,DI
AU - Laine,A
AU - Lo,B
AU - Nikita,KS
AU - Noury,N
AU - Rodrigues,J
AU - Wang,MD
DO - 10.1109/JBHI.2016.2559138
EP - 732
PY - 2016///
SN - 2168-2208
SP - 731
TI - Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014
T2 - IEEE Journal of Biomedical and Health Informatics
UR - http://dx.doi.org/10.1109/JBHI.2016.2559138
UR - http://hdl.handle.net/10044/1/34252
VL - 20
ER -