IEEE Transactions on Biomedical Engineering

Early Access Articles

Early Access articles are made available in advance of the final electronic or print versions. Early Access articles are peer reviewed but may not be fully edited. They are fully citable from the moment they appear in IEEE Xplore.

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Displaying Results 1 - 25 of 171
• Ultra-Wideband, Stable Normal and Cancer Skin Tissue Phantoms for Millimeter-Wave Skin Cancer Imaging

Publication Year: 2018, Page(s): 1
| | PDF (1471 KB)

This work introduces new, stable, and broadband skin-equivalent semisolid phantoms for mimicking interactions of millimeter waves with the human skin and skin tumors. Realistic skin phantoms serve as an invaluable tool for exploring the feasibility of new technologies and improving design concepts related to millimeter-wave skin cancer detection methods. Normal and malignant skin tissues are separ... View full abstract»

• Removal of High-Voltage Brain Stimulation Artifacts from Simultaneous EEG Recordings

Publication Year: 2018, Page(s): 1
| | PDF (4168 KB)

Objective: Noninvasive electrical brain stimulation (NEBS) can modulate brain dynamics and be used to induce changes in target brain areas. Because high-voltage stimulation artifacts tend to completely dominate the simultaneously-recorded EEG and vary slightly trial-by-trial in both amplitude and phase, the majority of studies to date have simply compared post-stimulation and pre-stimulation perio... View full abstract»

• Registration Accuracy of Patient-Specific, 3D Printed Prostate Molds for Correlating Pathology with Magnetic Resonance Imaging

Publication Year: 2018, Page(s): 1
| | PDF (8556 KB)

Objective: This investigation was performed to evaluate the registration accuracy between magnetic resonance imaging (MRI) and pathology using three-dimensional (3D) printed molds. Methods: Tissue-mimicking prostate phantoms were manufactured with embedded fiducials. The fiducials were used to measure and compare target registration error (TRE) between phantoms that were sliced by hand versus phan... View full abstract»

• Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation

Publication Year: 2018, Page(s): 1
| | PDF (3677 KB)

Objective: Deep learning based methods for retinal vessel segmentation are usually trained based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to-pixel matching between a predicted probability map and the corresponding manually annotated segmentation. However, due to the highly imbalanced pixel ratio between thick and thin vessels in fundus images, a pixel-wise... View full abstract»

• Out-of-plane Rotation Control of Biological Cells with a Robot-Tweezers Manipulation System for Orientation-based Cell Surgery

Publication Year: 2018, Page(s): 1
| | PDF (1625 KB)

In many cell surgery applications, cell must be oriented properly such that the micro-surgery tool can access the target components with minimum damage to the cell. In this paper, a scheme for out of image plane orientation control of suspended biological cells using robotic controlled optical tweezers is presented for orientation-based cell surgery. Based on our previous work on planar cell rotat... View full abstract»

• A Multistage Algorithm for ECG Rhythm Analysis during Piston Driven Mechanical Chest Compressions

Publication Year: 2018, Page(s): 1
| | PDF (1277 KB)

Objective: An accurate rhythm analysis during cardiopulmonary resuscitation (CPR) would contribute to increase survival from out-of-hospital cardiac arrest. Piston-driven mechanical compression devices are frequently used to deliver CPR. The objective of this work was to design a method to accurately diagnose the rhythm during compressions delivered by a piston-driven device. Methods: Data was gat... View full abstract»

• Multi-Snapshot Imaging for Chromatographic Peak Analysis

Publication Year: 2018, Page(s): 1
| | PDF (5323 KB)

Objective: Snapshot imaging has several advantages in automated gel electrophoresis compared with the finish-line method in capillary electrophoresis; this comes at the expense of resolution. A novel signal processing algorithm is proposed enabling a multi-snapshot imaging (MSI) modality whose objective is to substantially improve resolution. MSI takes multiple-captures in time as macromolecules a... View full abstract»

• Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients

Publication Year: 2018, Page(s): 1
| | PDF (1573 KB)

Objective: Numerous indices were devised for the statistical characterization of temporal dynamics of heart rate variability (HRV) with aim to discriminate between healthy subjects and non healthy patients. Elaborating on the concepts of (multi)fractal and non linear analyses, the present contribution defines and studies formally novel non Gaussian multiscale representations. Methods: A methodolog... View full abstract»

• Brain-wide Genome-wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model

Publication Year: 2018, Page(s): 1
| | PDF (3408 KB) |  Media

In this paper, a Brain-Wide and Genome-Wide Association (BW-GWA) study is presented to identify the associations between the brain imaging phenotypes (i.e., regional volumetric measures) and the genetic variants (i.e., Single Nucleotide Polymorphism (SNP)) in Alzheimer's Disease (AD). The main challenges of this study include the data heterogeneity, complex phenotype-genotype associations, high-di... View full abstract»

• Cuffless estimation of blood pressure: importance of variability in blood pressure dependence of arterial stiffness across individuals and measurement sites

Publication Year: 2018, Page(s): 1
| | PDF (313 KB)

Objective: Measuring arterial pulse transit time (PTT) to estimate blood pressure (BP) without conventional brachial cuff-based measurement is not new, but is a focus of current wearable technologies research. Much research pertains to efficient, accurate sensing of artery-related waveforms, yet the relationship between PTT and BP receives less attention despite being key for accurate BP estimatio... View full abstract»

• Deformable Image Registration Using Cue-aware Deep Regression Network

Publication Year: 2018, Page(s): 1
| | PDF (1466 KB)

Significance: Analysis of modern large-scale, multi-center or diseased data requires deformable registration algorithms that can cope with data of diverse nature. Objective: We propose a novel deformable registration method, which is based on a cue-aware deep regression network, to deal with multiple databases with minimal parameter tuning. Methods: Our method learns and predicts the deformation f... View full abstract»

• Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

Publication Year: 2018, Page(s): 1
| | PDF (9770 KB)

Accelerated magnetic resonance (MR) scan acquisition with compressed sensing (CS) and parallel imaging is a powerful method to reduce MR imaging scan time. However, many reconstruction algorithms have high computational costs. To address this, we investigate deep residual learning networks to remove aliasing artifacts from artifact corrupted images. The deep residual learning networks are composed... View full abstract»

• Noninvasive Ultrasonic Neuromodulation in Freely Moving Mice

Publication Year: 2018, Page(s): 1
| | PDF (1085 KB) |  Media

Neuromodulation is a fundamental method for obtaining basic information about neuronal circuits for use in treatments for neurological and psychiatric disorders. Ultrasound stimulation has become a promising approach for noninvasively inducing neuromodulation in animals and humans. However, the previous investigations were subject to substantial limitations, due to most of them involving anestheti... View full abstract»

• Assessment of Quadratic Nonlinear Cardiorespiratory Couplings During Tilt Table Test by Means of Real Wavelet Biphase

Publication Year: 2018, Page(s): 1
| | PDF (1054 KB)

Objective: In this paper a method for assessment of Quadratic Phase Coupling (QPC) between respiration and Heart Rate Variability (HRV) is presented. Methods: First, a method for QPC detection is proposed named Real Wavelet Biphase (RWB). Then, a method for QPC quantification is proposed based on the Normalized Wavelet Biamplitude (NWB). A simulation study has been conducted to test the reliabilit... View full abstract»

• Video Magnification Applied in Ultrasound

Publication Year: 2018, Page(s): 1
| | PDF (2100 KB) |  Media

Goal: This paper describes a method to enhance, visualize and reveal subtle motion that can be present in medical images. As proposed in vision applications, the principle is to magnify displacement applied, in this case, to cardiovascular tissues (carotid). Methods: In the example presented, ultrasound data were acquired at a high frame rate and 2D motion was estimated, amplified and reapplied in... View full abstract»

• Real-time Visualisation and Analysis of Clinicians' Performance during Palpation in Physical Examinations

Publication Year: 2018, Page(s): 1
| | PDF (5443 KB)

Objective: Motivated by the fact that palpation skills are challenging to learn and teach, particularly during Digital Rectal Examinations (DRE), and the lack of understanding of what constitutes adequate performance, we present a visualisation and analysis system that uses small position and pressure sensors located on the examining finger, allowing the quantitative analysis of duration, steps an... View full abstract»

• Distortion Distribution of Neural Spike Train Sequence Matching with Optogenetics

Publication Year: 2018, Page(s): 1
| | PDF (464 KB)

Objective: This paper uses a simple optogenetic model to compare the timing distortion between a randomly-generated target spike sequence and an externally-stimulated neuron spike sequence. Optogenetics is an emerging field of neuroscience where neurons are genetically modified to express light-sensitive receptors that enable external control over when the neurons fire. Methods: Two different meas... View full abstract»

• Sleep-Dependent Directional Coupling of Cardiorespiratory System in Patients with Obstructive Sleep Apnea

Publication Year: 2018, Page(s): 1
| | PDF (1077 KB)

Objective: Cardiorespiratory interactions have been widely investigated in different physiological states and conditions. Various types of coupling characteristics have been observed in the cardiorespiratory system; however, it is difficult to identify and quantify details of their interaction. In this study, we investigate directional coupling of the cardiorespiratory system in different physiolo... View full abstract»

• Ex Vivo Modeling of Perioperative Air Leaks in Porcine Lungs

Publication Year: 2018, Page(s): 1
| | PDF (1169 KB)

Objective: A novel ex vivo model is described to advance the understanding of prolonged air leaks, one of the most common post-operative complications following thoracic resection procedures. Methods: As an alternative to in vivo testing, an ex vivo model simulating the various physiologic environments experienced by an isolated lung during the perioperative period was designed and built. Isolated... View full abstract»

• Magnetomotive Displacement of the Tympanic Membrane using Magnetic Nanoparticles: Toward Enhancement of Sound Perception

Publication Year: 2018, Page(s): 1
| | PDF (1039 KB) |  Media

Objective: A novel hearing-aid scheme using magnetomotive nanoparticles (MNPs) as transducers in the tympanic membrane (TM) is proposed, aiming to noninvasively and directly induce a modulated vibration on the TM. Methods: In this feasibility study, iron-oxide (Fe<sub>3</sub>O<sub>4</sub>) nanoparticles were applied on ex vivo rat TM tissues and allowed to d... View full abstract»

• Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images

Publication Year: 2018, Page(s): 1
| | PDF (2025 KB)

Goal: We present a model-based feature augmentation scheme to improve the performance of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets with respect to learning from images alone. Methods: Initially, we compute image features from delayed-enhanced MRI (DE-MRI) to describe local tissue heterogeneities and feed them into a machine learning framework with unc... View full abstract»

• A Smart Capsule with a Hydrogel-Based pH-Triggered Release Switch for GI-Tract Site-Specific Drug Delivery

Publication Year: 2018, Page(s): 1
| | PDF (3574 KB)

In this paper, we present a smart capsule that can release its payload after a pre-determined/adjustable delay subsequent to passing from stomach into the small intestine. The described capsule (9 mm $times$ 22 mm) comprises of a pH-sensitive hydrogel-based switch, an electronic compartment containing a capacitor charged to 2.7 V, and a drug reservoir capped by a taut... View full abstract»

• Is EMG a viable alternative to BCI for detecting movement intention in severe stroke?

Publication Year: 2018, Page(s): 1
| | PDF (1816 KB)

Objective: In light of the shortcomings of current restorative brain computer interfaces (BCI), this study investigates the possibility of using EMG to detect hand/wrist extension movement intention to trigger robot-assisted training in individuals without residual movements. Methods: We compare an EMG movement intent detector with a sensorimotor rhythm based EEG BCI using only ipsilesional activi... View full abstract»

• RF Channel Modeling for Implant to Implant Communication and Implant to Sub-Cutaneous Implant Communication for Future Leadless Cardiac Pacemakers

Publication Year: 2018, Page(s): 1
| | PDF (1140 KB)

Propagation of radio-frequency (RF) signals inside human body is demanding to analyze as it is a highly complex medium consisting of different frequency-dependent lossy materials of varying thickness. Moreover, experimental analyses are also unfeasible because that requires probes to be placed inside a human body to collect the signals. This paper focuses on in-body to in-body implant communicatio... View full abstract»

• Three-Dimensional Model of Electroretinogram Field Potentials in the Rat Eye

Publication Year: 2018, Page(s): 1
| | PDF (1289 KB)

Objective: The information derived from the electroretinogram (ERG), especially with regard to local areas of retinal dysfunction or therapeutic rescue, can be enhanced by an increased understanding of the relationship between local retinal current sources and local ERG potentials measured at the cornea. A critical step in this direction is the development of a robust bioelectric field model of th... View full abstract»

Aims & Scope

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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Meet Our Editors

Editor-in-Chief
Bin He
University of Minnesota