Write in a clean editor, then format for IEEE Transactions on Biomedical Engineering in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
IEEE Transactions on Biomedical Engineering is a peer-reviewed journal published by IEEE, covering EEG and Brain-Computer Interfaces, Biomedical and Engineering Education, Neuroscience and Neural Engineering. Over its lifetime it has published 15,635 papers, which have received 698,598 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Biomedical Engineering, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Biomedical Engineering style. No sign-up. |
| Publishes research in | EEG and Brain-Computer Interfaces Biomedical and Engineering Education Neuroscience and Neural Engineering Muscle activation and electromyography studies ECG Monitoring and Analysis |
| ISSN | 0018-9294 |
| Citation impact (2-yr) | 3.67 |
| h-index | 311 |
| i10-index | 9,161 |
| Top institutions publishing here | Massachusetts Institute of Technology |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We have developed a real-time algorithm for detection of the QRS complexes of ECG signals. It reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width. A special digital bandpass filter reduces false detections caused by the various types of interference present in ECG signals. This filtering permits use of low thresholds,…
Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop…
Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. However, the typical BCI system is designed…
A spatial filtering method for localizing sources of brain electrical activity from surface recordings is described and analyzed. The spatial filters are implemented as a weighted sum of the data recorded at different sites. The weights are chosen to minimize the filter output power subject to a linear constraint. The linear constraint forces the filter…
This paper describes a novel approach to the control of a multifunction prosthesis based on the classification of myoelectric patterns. It is shown that the myoelectric signal exhibits a deterministic structure during the initial phase of a muscle contraction. Features are extracted from several time segments of the myoelectric signal to preserve pattern structure. These…
