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 moreJ-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.
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 MoreEnhancing 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 moreNoise-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 morePosition 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 moreA 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 moreDue to smart healthcare system is highly connected to advanced wearable devices, internet of things (IoT) and mobile internet, valuable patient information and other significant medical records are easily transmitted…
read moreThe faster maturity and stability of prominent metaverse technologies (AR, VR, Web 3.0, Blockchain, 5G Advanced, Edge Computing, etc.) associated with pioneering AI algorithms have laid a stimulating foundation for…
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