Journal of
Biomedical And Health Informatics

J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.
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5.223
Impact Factor
0.01291
Eigenfactor
1.084
Article Influence Score
Prof Dimitrios I. Fotiadis
Editor-in-chief
Editor-in-chief

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related... Read more

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related data. He developed wearable systems for the monitoring, treatment, motivation and coaching for patients with neurodegenerative diseases and other chronic conditions. Those systems combine a set of sensors and biosensors with decision making tools and patient/ecosystem feedback, as well as behavioral models and patient adherence mechanisms. In modelling, he developed multiscale models for the prediction of atheromatic plaque growth, based on realistic reconstruction of arteries from various imaging modalities. He pioneered the modelling of complex human structures, such as bones, to perform in silico clinical trials of various biomedical systems. He employed machine learning techniques to develop predictive models for chronic diseases, exploiting medical, lifestyle, environmental, and genetic data which are integrated with existing knowledge and models to improve diagnostic and predictive accuracy. He works in the harmonization and integration of data from longitudinal cohorts.

Dr. Fotiadis is the recipient of many awards, including the Academy of Athens Award and active member of the IEEE Engineering in Medicine and Biology Society, being a member of the Technical Committee of Biomedical and Health Informatics and the Chairman of the IEEE EMBS Greek Chapter. Dr. Fotiadis coordinated the organization of many EMBS conferences and other events."

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Updates

IEEE Journal of

Translational Engineering in Health and Medicine

2020
VOLUME 8
IJTEHM
8
The IEEE Journal of Translational Engineering in Health and Medicine Volume 8 has been published.
Performance Evaluation of Mixed Reality Display for Guidance During Transcatheter Cardiac Mapping and Ablation
Cardiac electrophysiology procedures present the physician with a wealth of 3D information, typically presented on fixed 2D monitors. New developments in wearable mixed reality displays offer the potential to simplify and enhance 3D visualization while providing hands-free, dynamic control of... Read more
Adaptive Maximal Blood Flow Velocity Estimation From Transcranial Doppler Echos
Objective: Novel applications of transcranial Doppler (TCD) ultrasonography, such as the assessment of cerebral vessel narrowing/occlusion or the non-invasive estimation of intracranial pressure (ICP), require high-quality maximal flow velocity waveforms. However, due to the low signal-to-noise ratio of TCD spectrograms,... Read more
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