As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Announcement: COVID-19 impact on peer review
Articles
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Measuring implanted patient response to tone pips
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Comparisons of simulation results between passive and active fluid structure interaction models for left ventricle in hypertrophic obstructive cardiomyopathy
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Spatio-temporal and -spectral feature maps in photoplethysmography imaging and infrared thermography
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Proton density fat fraction of the spinal column: an MRI cadaver study
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How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX
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Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine
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Biological effects of exposure to magnetic resonance imaging: an overview
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Oscillometric measurement of systolic and diastolic blood pressures validated in a physiologic mathematical model
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Real time electrocardiogram QRS detection using combined adaptive threshold
2019
Thematic series
Deep learning in biomedical engineering
Edited by Robert Koprowski
2018
Thematic series
Advanced signal processing and modeling for neuroengineering
Edited by Fei Chen, Shi-xiong Chen and Dong-mei Hao
Thematic series
Trends in e-health and m-health: technology developments for improved healthcare
Edited by Alessia Paglialonga
Thematic series
Artificial intelligence in biomedical imaging
Edited by Robert Koprowski
Thematic series
Advances in medical robotics and automation for surgery and rehabilitation
Edited by Dhanjoo Ghista and Kelvin Wong
2015
Thematic series
Biomedical engineering and the heart:
coronary blood flow, myocardial perfusion, myocardial ischemia and infarcts detection, customized stents and bypass surgery
Edited by Dhanjoo Ghista and Kelvin Wong
Thematic series
Advances in neuroimaging: insights into neurological and psychiatric disease
Cross-journal series
Edited by Kelvin Wong
Announcing the launch of In Review
BioMedical Engineering Online, in partnership with Research Square, is now offering In Review. Authors choosing this free optional service will be able to:
- Share their work with fellow researchers to read, comment on, and cite even before publication
- Showcase their work to funders and others with a citable DOI while it is still under review
- Track their manuscript - including seeing when reviewers are invited, and when reports are received
Editor-in-Chief
Ervin Sejdic, University of Pittsburgh, USA
Aims and scope
BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering.
BioMedical Engineering OnLine is aimed at readers and authors throughout the world with an interest in using tools of the physical and data sciences, and techniques in engineering, to understand and solve problems in the biological and medical sciences. Read more.
Risk and reward: extending stochastic glycaemic control intervals to reduce workload
A framework for glycemic control of critically ill patients, that is personalized and risk-based, can be safely performed with a lower measurement frequency, reducing the intensive care workload.
Thematic series
BioMedical-Engineering OnLine has published the following thematic series:
Deep learning in biomedical engineering
Advanced signal processing and modeling for neuroengineering
Trends in e-health and m-health: technology developments for improved healthcare
Artificial intelligence in biomedical imaging
Advances in medical robotics and automation for surgery and rehabilitation
Advances in neuroimaging: insights into neurological and psychiatric disease
Featured collection: Deep learning in biomedical engineering
Deep Learning in medicine is one of the most rapidly and new developing fields of science. Currently, almost every device intended for medical imaging has a more or less extended image and signal analysis and processing module which can use deep learning. It provides quantitative data necessary to make a diagnosis. The obtained quantitative features must be independent of the inter-subject variability and the type of medical device and, above all, must allow for reproducible results in the presence of high noise. The proposed deep learning algorithms should also ensure the independence of the results obtained by the operator of the imaging device and, to be more exact, its position relative to the patient or the parameter settings in the device. In addition, the proposed deep learning algorithms must be tailored for the diagnosis of a specific disease entity. On the other hand, they must allow for reproducible results for high inter-subject variability. These criteria make it difficult to propose a methodology for the deep learning algorithms. This special issue is dedicated to this area of knowledge.
Our data and software availability policy
Our journal’s policy is for all data, previously unreported software or custom code described in the manuscript to be made freely available for any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality. All authors must include an ‘Availability of Data and Materials’ section in their manuscript, detailing where the data, software or code supporting their findings can be found. Authors who do not wish to share their data and materials must state that it will not be shared, and give the reason. However, these authors are still expected to make their data and materials available to reviewers on a confidential basis. Please see BioMed Central’s Editorial policies page for more information.
Annual Journal Metrics
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Speed
77 days to first decision for reviewed manuscripts only
40 days to first decision for all manuscripts
171 days from submission to acceptance
14 days from acceptance to publication
Citation Impact
2.059 - 2-year Impact Factor
2.182 - 5-year Impact Factor
1.167 - Source Normalized Impact per Paper (SNIP)
0.578 - SCImago Journal Rank (SJR)
Usage
737,046 downloads
63 Altmetric mentions