Mechanically-Stimulated Contraction of Engineered Cardiac Constructs Using a Microcantilever
Exploiting Spatial-redundancy of Image Sensor for Motion Robust rPPG
Modulation depth estimation and variable selection in state-space models for neural interfaces
A high-performance keyboard neural prosthesis enabled by task optimization
Peter A. Galie, Fitzroy Byfield, Christopher S. Chen, J. Yasha Kresh, Paul A. Janmey, University of Pennsylvania, Boston University, Drexel University, Volume 62, Issue 2, Page:438-442
In recent years, microscale tissue gauges have provided a platform to study several aspects of cardiac electrophysiology in a three-dimensional, mechanically controlled environment. Combining this system with an atomic force microscope, we have demonstrated … Read more
Wenjin Wang, Sander Stuijk, and Gerard de Haan, Eindhoven University of Technology, the Netherlands, Volume:62, Issue:2, Page(s): 415 – 425
(Video) Remote photoplethysmography (rPPG) techniques can measure cardiac activity by detecting pulse-induced color variations on human skin using an RGB camera. State-of-the-art rPPG methods are sensitive to subject body motions (e.g., motion-induced color distortions). This study proposes a novel … Read more
Wasim Q. Malik, Leigh R. Hochberg, John P. Donoghue, Emery N. Brown, Massachusetts General Hospital, Harvard Medical School, Brown University, Massachusetts Institute of Technology, Department of Veterans Affairs, Volume 62, Issue 2, Page:570-581
Multichannel signal acquisition in biomedical engineering and other applications can result in high-dimensional signal sets, but often the information is concentrated in a small subset of those … Read more
Paul Nuyujukian, Joline M Fan, Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
Stanford University, Volume 62, Issue 1, Page:21-29
The emerging field of communication neural prostheses, also known as brain-machine interfaces, aims to restore function to people with paralysis. These systems record signals from the brain and use mathematical algorithms to estimate the user’s intention and control some end effector, such … Read more
About This Journal
The IEEE Transactions on Biomedical Engineering is a leading research journal in the field of biomedical engineering and is widely disseminated throughout the world. The journal was first published in 1953; one of the first devoted to engineering in medicine and biology. The Journal publishes original articles of highest quality in any areas of biomedical engineering. The journal welcomes original work that has made major advancements in a field instead of incremental improvement. Full manuscripts with novel methods or study designs with convincing experimental results are welcome. Exceptional concepts or novel methods with limited results may also be considered. The journal publishes selected review articles written by international authorities. Unsolicited authors should inquire with editorial office before submitting a review article.
The emphasis of the journal is to publish a comprehensive piece of excellent science that engineering medicine and biology. Topics include, but are not limited, to the following: biomedical signal processing, biomedical imaging and image processing, bioinstrumentation, biosensors, bio-micro/nano technology, bioinformatics and computational biology, biomedical modeling and computing, cardiovascular engineering, neural and rehabilitation engineering, cellular and tissue engineering and biomaterials, biomechanics, robotics, therapeutic and diagnostic systems, devices and technologies, clinical engineering, healthcare information systems and telemedicine, and emerging topics in biomedical engineering.