International Journal of Biomedical Engineering and Technology Template
Write in a clean editor, then format for International Journal of Biomedical Engineering and Technology in one click — DocuGuru applies the official Inderscience template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the International Journal of Biomedical Engineering and Technology format
International Journal of Biomedical Engineering and Technology is a peer-reviewed journal published by Inderscience, covering EEG and Brain-Computer Interfaces, Brain Tumor Detection and Classification, ECG Monitoring and Analysis.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Biomedical Engineering and Technology, 12(3), pp. 45–58.
Formats any DOI in International Journal of Biomedical Engineering and Technology style. No sign-up. |
| Publishes research in | EEG and Brain-Computer Interfaces Brain Tumor Detection and Classification ECG Monitoring and Analysis AI in cancer detection Medical Image Segmentation Techniques |
| ISSN | 1752-6418 |
| Citation impact (2-yr) | 0.77 |
| h-index | 28 |
| i10-index | 171 |
| Total citations | 6,678 |
| Top institutions publishing here | Anna University, Chennai |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Biomedical Engineering and Technology per year
Citation impact of International Journal of Biomedical Engineering and Technology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in International Journal of Biomedical Engineering and Technology
In the recent past, machine learning (ML) techniques such as artificial neural networks (ANN) have been increasingly used to model algal bloom dynamics. In the present paper, along with ANN, we select genetic programming (GP) for modelling and prediction of algal blooms in Tolo Harbour, Hong Kong. The study of the weights of the trained…
Breast cancer is being diagnosed earlier and more accurately through deep learning and machine learning models. This study contributes to medical science and technology using a novel deep learning-based model for detecting tiny cancer cells and accurately diagnosing cancer cells. The proposed approach uses strain normalisation to resolve colour divergence concerns in the breast cancer…
An alternative DSS which models the behaviour of the Heart Rate Variability (HRV) signal linked to stable (NREM) and instable (REM) cerebral waves during sleep and a probabilistic model of the sleep stages transitions for decision was developed. Time-Varying Autoregressive Models (TVAMs) were used as feature extractor while Hidden Markov Models (HMM) was used as…
Electrocardiogram (ECG) signal is significant to diagnose cardiac arrhythmia among various biological signals. The accurate analysis of noisy electrocardiographic (ECG) signal is a very motivating challenge. According to this automated analysis, the noises present in electrocardiogram signal need to be removed for perfect diagnosis. Numerous investigators have been reported different techniques for denoising the electrocardiographic…