BioMedical Engineering OnLine

Articles

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

Editors-in-Chief

Kenneth Foster, University of Pennsylvania, USA
Fong-Chin Su, National Cheng Kung University, Taiwan

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 sciences to advance and understand problems in the biological and medical sciences. There are biomedical engineers in countries throughout the world, and the results of their work are scattered and often difficult to access. This publication promotes the rapid and free accessibility of articles for biomedical engineering researchers everywhere. The result is a worldwide community of biomedical engineers who are linked together by their various research interests and their values in promoting benefits to all of humanity.

Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms

Foetal heart rate signals are used by obstetricians and midwives to determine when medical intervention such as caesarean section is required during birth. However, there is variability in determining when intervention is required, based upon human observation alone. Paul Fergus and colleagues use a machine learning algorithm to classify when caesarean section is necessary, providing a valuable support tool to aid decision making.

China’s 13th five-year plan offers opportunities in biomedical engineering

http://pulse.embs.org/july-2016/chinas-13th-five-year-plan-offers-opportunities-biomedical-engineering/

"Biomedical engineering (BME) and the medical device industry show a remarkable rise in China, perhaps as a result of previous five-year plans which have emphasized these areas. According to the data of 2015 China Blue Book of Development of Medical Device Industry, during the 12th five-year plan, China focused intently on nurturing medical companies and developing medical equipment, regarding it as an emerging industry. The number of medical equipment manufacturers climbed to 17,211 in 2015, up from 14,603 in 2011..."

Call for papers: Trends in e-Health and m-Health: Technology developments for improved healthcare

This Special Issue will present a multifaceted, multidisciplinary view of how current research and developments in technology in the area of e-Health and m-Health can support improved health and lead to increased benefits for the patients. Contributions about novel technologies, sensors, software or apps, strategies for effective eHealth implementation, as well as studies on benefits and challenges of eHealth are welcome.

If you are interested in contributing to the Special Issue, please contact the Editor, Alessia Paglialonga (alessia.paglialonga@ieiit.cnr.it).

Call for papers: Artificial Intelligence in biomedical imaging

Submissions are invited to a new Special Issue on Artificial Intelligence in biomedical imaging. Artificial intelligence is increasingly used in various fields of life. One such area is medicine. Modern medical imaging provides an increasing number of features derived from different types of analysis, including artificial intelligence. These features are most often used for a variety of analyses including fuzzy logic, evolutionary calculations, neural networks, or artificial life. Proper image processing, appropriate selection of features and artificial intelligence method can support medical diagnostics. This area has been in recent years the subject of many research papers and research grants. Consequently, this Special Issue is devoted to the subject of artificial intelligence, in its broadest sense, in biomedical engineering with particular emphasis on medical imaging. Therefore, I invite authors who deal with new and modified machine learning methods, evolutionary calculations and their new applications in biomedical imaging. I hope that this Special Issue will be for readers a valuable supplement to the knowledge of new artificial intelligence methods and its applications in new areas of medical imaging.

If you are interested in contributing to the Special Issue, please contact the Editor, Robert Koprowski (robert.koprowski@us.edu.pl).

Call for papers: Advanced Signal Processing and Modeling for Neuroengineering

Signal processing and modeling techniques have been consistently playing a significant role in the field of neuroengineering research. This special issue will focus on the use and elaboration of latest signal processing and modeling techniques, e.g., deep machine learning, nonlinear dynamical approaches, etc., to analyze biomedical data relevant for neuroengineering research.

More specifically, these advanced techniques are applied to EMG, EEG, brain-computer and brain-machine interfaces, neural computation and modeling, neural prostheses, neuro-robotics, neuromodulation, etc. The special issue will be an international forum for researchers working in the fields of neuroengineering, computational neuroscience, and integrative physiology to report the most recent developments and ideas, especially in their clinical applications. This Special Issue emphasizes (but not limited to) the following research topics:

• Noise suppression and removal in analyzing neurophysiological signals
• Nonlinear dynamical approaches and multivariate and multiscale techniques for analyzing neurophysiological signals
• Application of machine learning and deep neural networks for detection and classification of and neurological diseases
• Advanced signal processing in brain-computer interface and neuro-prosthetic devices
• Acquisition and analysis of neurophysiological signals from mobile and wearable devices and body sensor network techniques
• Clinical applications of advanced signal processing in neuroengineering

The Special Issue is Guest Edited by Fei Chen, Shi-xiong Chen and Dong-mei Hao. If you are interested in submitting to the Special Issue, please contact Fei Chen (fchen@sustc.edu.cn).

Biomedical Engineering and the Heart series

We are pleased to announce that BioMedical Engineering OnLine is continuing to accept submissions to a special thematic series on Biomedical Engineering and the Heart.

Guest edited by Professor Dhanjoo Ghista and Professor Kelvin Wong, the series focuses on computational analysis of the engineering, medical, and surgical aspects of cardiology.

Read the published articles in the series, or click here for submission information.

Over the last decade, major advances in neuroimaging have provided new opportunities to study the pathophysiological mechanisms of neurological and psychiatric diseases. Emerging techniques also have the potential to be tremendously useful in clinical research and neuroscience. This cross-journal series will focus on the advancement of computational and experimental studies that examine the abnormalities (functional or structural, static or dynamic) of neurological and psychiatric disorders, based on neuroimaging data.

By bringing together research published in BioMed Central journals, we aim to present an overview of state-of-the-art advances in neuroimaging and to highlight their numerous applications within clinical medicine and neuroscience.

Click here to read the published articles in the series, and for submission information.

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.