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IEEE Journal of Biomedical and Health Informatics is a peer-reviewed journal published by IEEE, covering EEG and Brain-Computer Interfaces, AI in cancer detection, Non-Invasive Vital Sign Monitoring. Over its lifetime it has published 6,610 papers, which have received 183,428 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 Journal of Biomedical and Health Informatics, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Journal of Biomedical and Health Informatics style. No sign-up. |
| Publishes research in | EEG and Brain-Computer Interfaces AI in cancer detection Non-Invasive Vital Sign Monitoring Radiomics and Machine Learning in Medical Imaging ECG Monitoring and Analysis |
| ISSN | 2168-2194 |
| Citation impact (2-yr) | 4.96 |
| h-index | 164 |
| i10-index | 3,333 |
| Top institutions publishing here | Shanghai Jiao Tong University |
| 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.
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is…
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving patient information and performing administrative healthcare tasks like billing, many researchers have found secondary use of these records for various clinical informatics applications. Over the same period, the machine learning community…
In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted living technologies for safe and independent aging. In…
In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli. Signals from 23 participants were recorded along with the participants self-assessment of their affective state after each stimuli, in terms of valence, arousal, and dominance. All the signals were…
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of a common dataset impedes research when comparing the performance of such algorithms. This paper proposes the use of deep learning approaches…
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