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 213
• A High Definition Non-invasive Neuromuscular Electrical Stimulation System for Cortical Control of Combinatorial Rotary Hand Movements in a Human with Tetraplegia

Publication Year: 2018, Page(s): 1
| | PDF (841 KB) |  Media

Objective: Paralysis resulting from spinal cord injury (SCI) can have a devastating effect on multiple arm and hand motor functions. Rotary hand movements, such as supination and pronation, are commonly impaired by upper extremity paralysis, and are essential for many activities of daily living. In this proof-of-concept study, we utilize a neural bypass system (NBS) to decode motor intention from ... View full abstract»

• Creamino: a Cost-Effective, Open-Source EEG-based BCI System

Publication Year: 2018, Page(s): 1
| | PDF (7271 KB) |  Media

This paper presents an open source framework called Creamino. It consists of an Arduino-based cost-effective quick-setup EEG platform built with off-the shelf components and a set of software modules that easily allow users to connect this system to Simulink or BCI-oriented tools (such as BCI2000 or OpenViBE) and set up a wide number of neuroscientific experiments. Creamino is capable of processin... View full abstract»

• Nonlinear Mixed-Effects Models for PET Data

Publication Year: 2018, Page(s): 1
| | PDF (1187 KB)

Objective: The current state of the art for compartment modeling of dynamic PET data can be described as a two-stage approach. In Stage 1, individual estimates of kinetic parameters are obtained by fitting models using standard techniques, such as nonlinear least squares (NLS), to each individual's data one subject at a time. Population-level effects, such as the difference between diagnostic grou... View full abstract»

• Ultrasound Measurement of Vascular Density to Evaluate Response to Anti-angiogenic Therapy in Renal Cell Carcinoma

Publication Year: 2018, Page(s): 1
| | PDF (2008 KB)

Background: Functional and molecular changes often precede gross anatomical changes, so early assessment of a tumor's functional and molecular response to therapy can help reduce a patient's exposure to the side effects of ineffective chemotherapeutics or other treatment strategies. Objective: Our intent was to test the hypothesis that an ultrasound microvascular imaging approach might provide ind... View full abstract»

• The effect of region of interest size on the repeatability of quantitative brain imaging biomarkers

Publication Year: 2018, Page(s): 1
| | PDF (6119 KB) |  Media

In the repeatability analysis, when the measurement is the mean value of a parametric map within a region of interest (ROI), the ROI size becomes important as by increasing the size, the measurement will have a smaller variance. This is important in decision-making in prospective clinical studies of brain when the ROI size is variable, e.g., in monitoring the effect of treatment on lesions by quan... View full abstract»

• Efficient Bronchoscopic Video Summarization

Publication Year: 2018, Page(s): 1
| | PDF (1301 KB) |  Media

Bronchoscopy enables many minimally invasive chest procedures for diseases such as lung cancer and asthma. Guided by the bronchoscope's video stream, a physician can navigate the complex 3D airway tree to collect tissue samples or administer a disease treatment. Unfortunately, physicians currently discard procedural video because of the overwhelming amount of data generated. Hence, they must rely ... View full abstract»

• Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer

Publication Year: 2018, Page(s): 1
| | PDF (1632 KB)

$Objective$: Adaptive beamformer methods, which have been extensively used for functional brain imaging using EEG/MEG signals, are sensitive to model mismatches. We propose a robust minimum variance beamformer (RMVB) technique, which explicitly incorporates the uncertainty of the lead field matrix into estimation of spatial-filter weights that are subsequently used to... View full abstract»

• Intravenous administration-oriented pharmacokinetic model for dynamic bioluminescence imaging

Publication Year: 2018, Page(s): 1
| | PDF (692 KB) |  Media

$Objective: In vivo$bioluminescence imaging (BLI) is a promising tool for monitoring the growth and metastasis of tumors. However, quantitative BLI research based on intravenous (IV) injection is limited, which greatly restricts its further application. To address this problem, we designed a pharmacokinetic (PK) model which is suitable for applying on IV administratio... View full abstract»

• Background Removal and Vessel Filtering of Non-Contrast Ultrasound Images of Microvasculature

Publication Year: 2018, Page(s): 1
| | PDF (856 KB)

Objective: recent advances in ultrasound Doppler imaging have made it possible to visualize small vessels with diameters near the imaging resolution using spatial-temporal singular value thresholding of long ensembles of ultrasound data. However, vessel images derived based on this method present severe intensity variations and additional background noise that limits visibility and subsequent proc... View full abstract»

• Wearable Sensors for Frequency-Multiplexed EIT and Multilead ECG Data Acquisition

Publication Year: 2018, Page(s): 1
| | PDF (627 KB)

This paper presents a wearable sensor architecture for frequency-multiplexed electrical impedance tomography (EIT) and synchronous multilead electrocardiogram (ECG) data acquisition. The system is based on a novel electronic sensing architecture, called cooperative sensors, that significantly reduces the cabling complexity and enables flexible EIT stimulation and measurement patterns. The cooperat... View full abstract»

• A Novel Synchronous Micro Motor for Intravascular Ultrasound Imaging

Publication Year: 2018, Page(s): 1
| | PDF (5721 KB)

Objective: Intravascular ultrasound (IVUS) is an important method for evaluating lumen dimensions and guiding intervention. However, the current IVUS catheter using a proximal motor and flexible drive shaft is easily rotated at an unstable speed when it passes through along bending vessel. One approach to solve this problem is to develop a catheter driven by a distal motor. Methods: This work pres... View full abstract»

• Non-Invasive Quantification of Cell Density in 3D Gels by MRI

Publication Year: 2018, Page(s): 1
| | PDF (1179 KB)

Objective: For tissue engineering, there is a need for quantitative methods to map cell density inside 3D bioreactors to assess tissue growth over time. The current cell mapping methods in 2D cultures are based on optical microscopy. However, optical methods fail in 3D due to increased opacity of the tissue. We present an approach for measuring the density of cells embedded in a hydrogel to genera... View full abstract»

• Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering

Publication Year: 2018, Page(s): 1
| | PDF (1990 KB) |  Media

Tissue engineering and regenerative medicine looks at improving or restoring biological tissue function in humans and animals. We consider optimising neotissue growth in a three-dimensional scaffold during dynamic perfusion bioreactor culture, in the context of bone tissue engineering. The goal is to choose design variables that optimise two conflicting objectives: (i) maximising neotissue growth ... View full abstract»

• An Independent Component Analysis Approach to Motion Noise Cancellation of Cardio-Mechanical Signals

Publication Year: 2018, Page(s): 1
| | PDF (4740 KB)

This work proposes a new framework for measuring sternal cardio-mechanical signals from moving subjects using multiple sensors. An array of inertial measurement units (IMUs) are attached to the chest wall of subjects to measure the seismo-cardiogram (SCG) from accelerometers and the gyro-cardiogram (GCG) from gyroscopes. A digital signal processing method based on constrained independent component... View full abstract»

• Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI

Publication Year: 2018, Page(s): 1
| | PDF (1149 KB)

Fiber tractography using diffusion weighted MRI (DWI) is a primary tool for mapping structural connectivity in the human brain in vivo. However, this method suffers from a number of inherent limitations that have a significant impact on its capability in faithfully constructing fiber bundles for specific function. In this paper, a novel tractography algorithm combining DWI and functional MRI (fMRI... View full abstract»

• Ionic direct current modulation for combined inhibition/excitation of the vestibular system

Publication Year: 2018, Page(s): 1
| | PDF (784 KB)

Objective: Prosthetic electrical stimulation delivered to the vestibular nerve could provide therapy for people suffering from bilateral vestibular dysfunction (BVD). Common encoding methods use pulse-frequency modulation (PFM) to stimulate the semicircular canals of the vestibular system. We previously showed that delivery of ionic direct current (iDC) can also modulate the vestibular system. In ... View full abstract»

• Computer-Vision Techniques for Water-Fat Separation in Ultra-High Field MRI Local Specific Absorption Rate Estimation

Publication Year: 2018, Page(s): 1
| | PDF (893 KB)

Objective: The purpose is to prove that computer-vision techniques allow synthesizing water-fat separation maps for local specific absorption rate (SAR) estimation, when patient-specific water-fat images are not available. Methods: We obtained ground truth head models by using patient-specific water-fat images. We obtained two different label-fusion water-fat models generating a water-fat multi-at... View full abstract»

• Models for nociception stimulation and memory effects in awake and aware healthy individuals

Publication Year: 2018, Page(s): 1
| | PDF (2942 KB)

Objective:This paper introduces a primer in the healthcare practice, namely a mathematical model and methodology for detecting and analysing nociceptor stimulation followed by related tissue memory effects. Methods: Non-invasive nociceptor stimulus protocol and prototype device for measuring bioimpedance is provided. Various time instants, sensor location and stimulus train have been analysed. Res... View full abstract»

• Monitoring the Relative Blood Pressure Using a Hydraulic Bed Sensor System

Publication Year: 2018, Page(s): 1
| | PDF (746 KB)

We propose a non-wearable hydraulic bed sensor system that is placed underneath the mattress to estimate the relative systolic blood pressure of a subject, which only differs from the actual blood pressure by a scaling and an offset factor. Two types of features are proposed to obtain the relative blood pressure, one based on the strength and the other on the morphology of the bed sensor BCG pulse... View full abstract»

• Improving Accuracy of Non-invasive Hemoglobin Monitors: A Functional Regression Model for Streaming SpHb Data

Publication Year: 2018, Page(s): 1
| | PDF (388 KB)

Objective: The propose of this article is to develop a method for improving the accuracy of SpHb monitors, which are non-invasive hemoglobin monitoring tools, leading to better critical care protocols in trauma care. Methods: The proposed method is based on fitting smooth spline functions to SpHb measurements collected over a time window and then using a functional regression model to predict the ... View full abstract»

• Capacitive ECG Monitoring in Cardiac Patients during Simulated Driving

Publication Year: 2018, Page(s): 1
| | PDF (7855 KB)

Objective: This study aims to compare the informative value of a capacitively coupled electrocardiogram (cECG) to a conventional galvanic reference ECG (rECG) in patients after a major cardiac event under simulated driving conditions. Addressed research questions are the comparison and coherence of cECG and rECG by means of the signal quality, the artifact rate, the rate of assessable data for dif... View full abstract»

• Robust Heartbeat Detection from Multimodal Data via CNN-based Generalizable Information Fusion

Publication Year: 2018, Page(s): 1
| | PDF (742 KB)

Objective: Heartbeat detection remains central to cardiac disease diagnosis and management, and is traditionally performed based on electrocardiogram (ECG). To improve robustness and accuracy of detection, especially, in certain critical-care scenarios, the use of additional physiological signals such as arterial blood pressure (BP) has recently been suggested. There, estimation of heartbeat locat... View full abstract»

• Design, Fabrication and Evaluation of A Parylene Thin Film Electrode Array for Cochlear Implants

Publication Year: 2018, Page(s): 1
| | PDF (9541 KB)

Objective: To improve the existing manually-assembled cochlear implant electrode arrays, a thin film electrode array (TFEA) was micro-fabricated to have a maximum electrode density of 15 sites along an 8-mm length, with each site having a 75$\times$1.8-μm (diameter - height) disk electrode. Methods: The micro-fabrication method adopted a sequence of photoresist transf... View full abstract»

• In vivo impedance characterization of cortical recording electrodes shows dependence on electrode location and size

Publication Year: 2018, Page(s): 1
| | PDF (632 KB)

Objective: Neural prostheses are improving the quality of life for those suffering from neurological impairments. Electrocorticography electrodes located in subdural, epidural and intravascular positions, show promise as long-term neural prostheses. However, chronic implantation affects the electrochemical environments of these arrays. Methods: In the present work, the effect of electrode location... View full abstract»

• Tensor Based Temporal and Multi-layer Community Detection for Studying Brain Dynamics During Resting State fMRI

Publication Year: 2018, Page(s): 1
| | PDF (8241 KB)

Objective: In recent years, resting state fMRI has been widely utilized to understand the functional organization of the brain for healthy and disease populations. Recent studies show that functional connectivity during resting state is a dynamic process. Studying this temporal dynamics provides a better understanding of the human brain compared to static network analysis. Methods: In this paper, ... 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
Carnegie Mellon University