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.

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24)

Editor-in-Chief

Dimitrios I. Fotiadis

Professor Dimitrios I. Fotiadis

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.

Read More

Highlights

0

Impact Factor

0

Eigenfactor

0

Article Influence Score

0

Cite Score

Updates

An Automated Analysis Framework for Epidemiological Survey on COVID-19
May 2024 Highlights 1271 638 Journal of Biomedical and Health Informatics (JBHI)

May 2024 Highlights

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA An Automated Analysis Framework for Epidemiological Survey on COVID-19 Lin, Zichao; Lin,…

read more
Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via graph contrastive clustering
April 2024 Highlights 1271 638 Journal of Biomedical and Health Informatics (JBHI)

April 2024 Highlights

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via…

read more
March 2024 Highlights 1270 635 Journal of Biomedical and Health Informatics (JBHI)

March 2024 Highlights

Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study C. Tang, L. Chen, Z. Wang, L. Zhang, B. Gu, X. Liu, D. Ming, Dong Motor…

read more
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification
February 2024 Highlights 1024 600 Journal of Biomedical and Health Informatics (JBHI)

February 2024 Highlights

Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification Gu, J. Han, G-Z Yang, B. Lo, Motor Imagery (MI) Electroencephalography (EEG) is one of the most common Brain-Computer Interface…

read more
Virtual Human Twin: a moon-shot project for digital health research
January 2024 Highlights 1271 1038 Journal of Biomedical and Health Informatics (JBHI)

January 2024 Highlights

Position paper From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research Viceconti, Marco; De Vos, Maarten; Mellone, Sabato; Geris, Liesbet. The…

read more
A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG
A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG 1271 638 Journal of Biomedical and Health Informatics (JBHI)

A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG

A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG Cui, Hongyan; Chi, Xinyi; Wang, Lei; Chen, Xiaogang Hybrid brain-computer interfaces (BCIs) that combine more than two modes are…

read more

Support Open Access Initiatives by Storing Datasets in IEEE DataPort

IEEE DataPort is a great way to gain exposure for your research, serving as an easy-to-use and secure platform for data storage, and a way to ensure compliance with many funding agency open access requirements.

Join researchers around the globe who rely on IEEE DataPort to store, share, and manage their research data, by uploading your dataset today! This universally accessible, web-based portal accepts open access datasets up to 2TB. Currently, datasets can be uploaded to IEEE DataPort at no cost and each dataset is assigned a Digital Object Identifier (DOI).

Uploading datasets as open access helps both individuals and their institutions meet funding agency requirements and helps ensure compliance with data requirements. Right now, individuals can use the promotion code OPENACCESS1 to upload one open access dataset at no cost.

In addition, all IEEE DataPort users have the opportunity to freely access all open access datasets and are able to analyze and use them with proper citation.

Search Open Access Datasets Today

Icon: Join EMBS

Join the EMBS

In an era where technology is expanding at a rapid rate and the needs for medical application of these technologies has never been greater, the intersection between engineering, medicine and biology is a critical place to be. The IEEE Engineering in Medicine and Biology Society is well-positioned to serve as a central gathering point for both of these major disciplines.