Write in a clean editor, then format for Biomedical Engineering Applications Basis and Communications in one click — DocuGuru applies the official World Scientific template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Biomedical Engineering Applications Basis and Communications is a peer-reviewed journal published by World Scientific, covering EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis, AI in cancer detection.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Biomedical Engineering Applications Basis and Communications 12, 45–58 (2023).
Formats any DOI in the closest standard style — Biomedical Engineering Applications Basis and Communications has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | EEG and Brain-Computer Interfaces ECG Monitoring and Analysis AI in cancer detection Non-Invasive Vital Sign Monitoring Brain Tumor Detection and Classification |
| ISSN | 1016-2372 |
| Citation impact (2-yr) | 1.01 |
| h-index | 29 |
| i10-index | 177 |
| Total citations | 6,661 |
| Top institutions publishing here | National Taiwan University |
| Journal website | www.worldscinet.com |
| 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.
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-term EEG recordings of an epileptic patient contain a huge amount of EEG data. The detection of epileptic activity is, therefore, a very demanding process that requires a detailed analysis of the entire length of the EEG data, usually performed by an expert.…
This paper describes a new technique to classify and analyze the electroencephalogram (EEG) signal and recognize the EEG signal characteristics of Sleep Apnea Syndrome (SAS) by using wavelet transforms and an artificial neural network (ANN). The EEG signals are separated into Delta, Theta, Alpha, and Beta spectral components by using multi-resolution wavelet transforms. These spectral…
Atherosclerosis is a disease in which plaque builds up inside arteries. It is also considered as one of the most serious and common forms of cardiovascular disease which can lead to heart attack and stroke. In the current research, finite element method is used to anticipate plaque vulnerability based on peak plaque stress using human…
Arrhythmia is one kind of diseases that gives rise to the death and possibly forms the immedicable danger. The most common cardiac arrhythmia is the ventricular premature beat. The main purpose of this study is to develop an efficient arrhythmia detection algorithm based on the morphology characteristics of arrhythmias using correlation coefficient in ECG signal.…
Our previous study indicated that montmorillonite (MMT for short) was pharmaceutically feasible to be used as a carrier of an anticancer drug 5-FU. Emphasis of this study is thus placed on the toxicity of MMT to address whether it is clinically safe for practical use. Hematological data of rats model showed that the rats administered…
