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...
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 learning accom...
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...
https://www.embs.org/jbhi/articles/february-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 study summarizes the emerging paradigm of big data analytics in healthcare, covers its advantages, presents an organizational structure and method, lists instances from the industry, lightly ...
Smart healthcare will use a new generation of information technologies, like artificial intelligence, the internet of things (IoT), cloud computing, and big data, to transform the conventional...
https://www.embs.org/jbhi/articles/evolutionary-computing-on-smart-healthcare/
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 a...
The data used in BHI often comes from varied sources and is subject to differences due to demographics, equipment, protocols, and more. Such variability can severely impact the performance of con...
In the rapidly evolving field of bioinformatics, the integration of deep learning techniques has emerged as a powerful tool for automated diagnosis and treatment planning. The generation of massi...
Due 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 a...