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International Journal of Medical Engineering and Informatics is a peer-reviewed journal published by Inderscience, covering Brain Tumor Detection and Classification, Artificial Intelligence in Healthcare, EEG and Brain-Computer Interfaces.
| 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 Medical Engineering and Informatics, 12(3), pp. 45–58.
Formats any DOI in International Journal of Medical Engineering and Informatics style. No sign-up. |
| Publishes research in | Brain Tumor Detection and Classification Artificial Intelligence in Healthcare EEG and Brain-Computer Interfaces AI in cancer detection ECG Monitoring and Analysis |
| ISSN | 1755-0653 |
| Citation impact (2-yr) | 0.17 |
| h-index | 19 |
| i10-index | 54 |
| Total citations | 2,212 |
| Top institutions publishing here | Rutgers, The State University of New Jersey |
| Journal website | www.inderscience.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.
In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed to acquire the EEG signals over five healthy subjects using 63 biosensors. We propose the analysis of EEG signals using discrete wavelet transform and…
Nowadays, the citizens are more aware of high-quality medical care than ever. They pay much attention to medical treatment safety, instructions from physicians, and the overall service quality performed by the hospital. To manage a hospital successfully, the important goals are to attract and then retain as many patients as possible by meeting potential demands…
In this article, a study of various medical imaging modalities and survey of computer aided detection (CAD) approaches used for the detection of breast cancer are presented. Early breast cancer detection, is important as it can increase the rate of diagnosis, cure and survival of the affected women. Medical imaging techniques can detect early signs…
This paper focuses on an approach for characterising the mammogram masses using various geometric shape and margin features. According to BIRADS system, benign and malignant masses can be differentiated using its shape, size and density features, which is how radiologist visualise the mammograms. According to BIRADS, benign masses are round, oval, lobular in shape and…
An experimental study on a physical model of memristor made from human blood (as material of resistor) is presented. The model manifests memristor characteristics as defined by Professor Leon Chua (1971), Strukov (2008) and William (2008). Speculative potential applications in human healthcare science and electronic memory circuit science/technology is envisaged.
