TBME
IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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Bin He
Department of Biomedical Engineering, Carnegie Mellon University, 6612 Pittsburgh, Pennsylvania United States
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TBME, Featured Articles
Electrophysiological Brain Connectivity: Theory and Implementation
Bin He, Laura Astolfi, Pedro Antonio Valdés-Sosa, Daniele Marinazzo, Satu O. Palva, Christian-George Bénar, Christoph M. Michel, Thomas Koenig
Brain function and dysfunction are encoded in networks within the brain that are distributed over 3-dimensional space and evolves in time. It is of great importance to image brain activation and functional connectivity which are the building blocks of neural...
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Posted on 1 JUL 2019
TBME, Featured Articles, Special Issue: BRAIN
EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks
Bradley J. Edelman, Bryan Baxter, Bin He, University of Minnesota, USA
Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control of real and virtual devices in up to three dimensions. SMR BCI control signals are founded on the user’s...
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Posted on 26 DEC 2015
TBME, Featured Articles
Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach
Abbas Sohrabpour, Shuai Ye, Gregory Worrell, Wenbo Zhang, Bin He, University of Minnesota, USA
Electromagnetic source imaging (ESI) techniques are very efficient in determining the foci of activity from surface electromagnetic measurements such as EEG and MEG. However, due to the...
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Posted on 28 NOV 2016
TBME, Featured Articles
Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer
Adaptive beamformer methods have been used extensively for functional brain imaging using EEG/MEG surface recordings. However, the sensitivity of beamformers to model mismatches impedes their widespread application, in practice. In this study, we propose a state-of-the-art technique, termed robust minimum...
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Posted on 26 SEP 2018
TBME, Featured Articles
Electrical Properties Tomography Based on B1 Maps in MRI: Principles, Applications, and Challenges
Electrical properties (EPs), namely conductivity and permittivity, are fundamental properties of materials, describing their capability to transfer electrical current or store energy of the electrical field inside the media. In biological tissue, there is a close relationship between EPs and...
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Posted on 22 OCT 2017
TBME, Featured Articles
Three-Dimensional Brain-Computer Interface Control through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks
Brain-computer interfacing (BCI) is a promising method for providing alternative connections between the brain and the outside world in concert with natural connections or re-establishing natural limb movement in cases where these have been potentially disrupted by disease or injury....
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Posted on 22 OCT 2018
TBME, Featured Articles
Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG
Objective: This paper proposes a novel method to localize origins of premature ventricular contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural network (CNN) and a realistic computer heart model. Methods: The proposed method consists of two CNNs (Segment CNN...
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Posted on 20 JUN 2018
TBME, Featured Articles
Electrophysiological Source Imaging of Brain Networks Perturbed by Low-Intensity Transcranial Focused Ultrasound
Kai Yu, Abbas Sohrabpour, Bin He, University of Minnesota, USA
Transcranial focused ultrasound (tFUS) has been introduced as a noninvasive neuromodulation technique with good spatial selectivity. However, there is an unanswered question of whether low-intensity tFUS (much lower than FDA’s regulations)...
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Posted on 24 AUG 2016