# 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.

## Filter Results

Displaying Results 1 - 25 of 195
• ### A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces

Publication Year: 2017, Page(s): 1
| | PDF (2692 KB)

Objective: Recent reports indicate that making better assumptions about the user's intended movement can improve the accuracy of decoder calibration for intracortical brain-computer interfaces. Several methods now exist for estimating user intent, including an optimal feedback control model, a piecewise-linear feedback control model, ReFIT, and other heuristics. Which of these methods yield... View full abstract»

• ### Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans

Publication Year: 2017, Page(s): 1
| | PDF (17746 KB)

Objective: Hydrocephalus is a medical condition in which there is an abnormal accumulation of cerebrospinal fluid (CSF) in the brain. Segmentation of brain imagery into brain tissue and CSF (before and after surgery, i.e. pre-op vs. postop) plays a crucial role in evaluating surgical treatment. Segmentation of pre-op images is often a relatively straightforward problem and has been well researched... View full abstract»

• ### A Methodology for Non-Invasive 3D Surveillance of Arteriovenous Fistulae Using Freehand Ultrasound

Publication Year: 2017, Page(s): 1
| | PDF (8817 KB)

Objective: Surveillance techniques for arteriovenous fistulae are required to maintain functional vascular access, with two-dimensional (2D) duplex ultrasound the most widely used imaging modality. This article presents a surveillance method for an arteriovenous fistula (AVF) using a freehand three-dimensional (3D) ultrasound system. A patient-case study highlights the applicability in a clinical ... View full abstract»

• ### Procedure-specific Validation of Artificial Vertebrae

Publication Year: 2017, Page(s): 1
| | PDF (930 KB)

Objective: The development of a novel hybrid patient simulator was initiated to provide a safe training possibility for novice surgeons. Integrated artificial vertebrae should be able to realistically mimic the haptics of transpedicular Vertebroplasty instrument insertion and pedicle screw placement. Therefore, new open-celled material compositions were developed, tested and validated with referen... View full abstract»

• ### Extremum Seeking Control for Personalized Zone Adaptation in Model Predictive Control for Type 1 Diabetes

Publication Year: 2017, Page(s): 1
| | PDF (1015 KB)

Zone model predictive control has proven to be an effective closed-loop method to regulate blood glucose for people with type 1 diabetes (T1D). In this paper, we present a universal model-free optimization scheme for adapting the zone for T1D patients individually. The adaptation is based on a clinical glycemic risk index named relative regularized glycemic penalty index (rrGPI), which is calculat... View full abstract»

• ### Depth-based Whole Body Photoplethysmography in Remote Pulmonary Function Testing

Publication Year: 2017, Page(s): 1
| | PDF (2158 KB)

${Objective:}$ We propose a novel depth-based Photoplethysmography (dPPG) approach to reduce motion artifacts in respiratory volume–time data and improve the accuracy of remote pulmonary function testing (PFT) measures. ${Method:}$ Following spatial and temporal calibration of two opposing RGB-D sensors, a dynamic 3-D model of the ... View full abstract»

• ### Super-resolution Axial Localization of Ultrasound Scatter Using Multi-focal Imaging

Publication Year: 2017, Page(s): 1
| | PDF (2902 KB)

Objective: This paper aims to develop a method for achieving micrometre axial scatterer localization for medical ultrasound, surpassing the inherent, pulse length dependence limiting ultrasound imaging. Methods: The method, directly translated from cellular microscopy, is based on multi-focal imaging and the simple, aberration dependent, image sharpness metric of a single point scatterer. The loca... View full abstract»

• ### Adaptive Estimation of the Neural Activation Extent in Computational Volume Conductor Models of Deep Brain Stimulation

Publication Year: 2017, Page(s): 1
| | PDF (2540 KB)

Objective: The aim of this study is to propose an adaptive scheme embedded into an open-source environment for the estimation of the neural activation extent during deep brainstimulation and to investigate the feasibility of approximating the neural activation extent by thresholds of the field solution. Methods: Open-source solutions for solving the field equation in volume conductor models of dee... View full abstract»

• ### Tensor Decomposition of Gait Dynamics in Parkinson's Disease

Publication Year: 2017, Page(s): 1
| | PDF (464 KB)

Objective: The study of gait in Parkinson's disease is important because it can provide insights into the complex neural system and physiological behaviors of the disease, of which understanding can help improve treatment and lead to effective developments of alternative neural rehabilitation programs. This paper aims to introduce an effective computational method for multi-channel or multi-sensor... View full abstract»

• ### Near-field Inductive Coupling Link To Power a Three-Dimensional Millimeter-Size Antenna for Brain Implantable Medical Devices

Publication Year: 2017, Page(s): 1
| | PDF (6895 KB)

Near-field inductive coupling link can establish a reliable power source to a battery-less implantable medical device based on Faraday's law of induction. In this paper, the design, modeling and experimental verification of an inductive coupling link between an off-body loop antenna and a 0.9 mm$^3$ three-dimensional (3D) bowtie brain implantable antenna is presented.... View full abstract»

• ### Characterization of Conductivity Changes during High-Frequency Irreversible Electroporation for Treatment Planning

Publication Year: 2017, Page(s): 1
| | PDF (1247 KB)

For irreversible electroporation (IRE) based therapies, the underlying electric field distribution in the target tissue is influenced by the electroporation-induced conductivity changes and is important for predicting the treatment zone. Objective: In this study, we characterized the liver tissue conductivity changes during high-frequency irreversible electroporation (H-FIRE) treatments of widths,... View full abstract»

• ### Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization

Publication Year: 2017, Page(s): 1
| | PDF (3477 KB)

Objectives: Temporal Enhanced Ultrasound (TeUS) is a new ultrasound-based imaging technique that provides tissue specific information. Recent studies have shown the potential of TeUS for improving tissue characterization in prostate cancer diagnosis. We study the temporal properties of TeUS – temporal order and length – and present a new framework to assess their impact on tissue inf... View full abstract»

• ### Latency management in scribble-based interactive segmentation of medical images

Publication Year: 2017, Page(s): 1
| | PDF (1681 KB)

Objective: During an interactive image segmentation task, the outcome is strongly influenced by human factors. In particular, a reduction in computation time does not guarantee an improvement in the overall segmentation time. This paper characterizes user efficiency during scribble-based interactive segmentation as a function of computation time. Methods: We report a controlled experiment with use... View full abstract»

• ### Skull modeling effects in conductivity estimates using parametric electrical impedance tomography

Publication Year: 2017, Page(s): 1
| | PDF (3582 KB) |  Media

Objective: To estimate the scalp, skull, compact bone and marrow bone electrical conductivity values based on Electrical Impedance Tomography (EIT) measurements, and to determine the influence of the skull modeling details on the estimates. Methods: We collected EIT data with 62 current injection pairs and built five 6-8 million finite element (FE) head models with different grades of skull simpli... View full abstract»

• ### Feasibility of Automatic Error Detect-and-undo system in Human Intracortical Brain-Computer Interfaces

Publication Year: 2017, Page(s): 1
| | PDF (3650 KB) |  Media

Objective: Brain-computer interfaces (BCIs) aim to help people with impaired movement ability by directly translating their movement intentions into command signals for assistive technologies. Despite large performance improvements over the last two decades, BCI systems still make errors that need to be corrected manually by the user. This decreases system performance and is also frustrating for t... View full abstract»

• ### User-Independent Intent Recognition for Lower-Limb Prostheses Using Depth Sensing

Publication Year: 2017, Page(s): 1
| | PDF (1595 KB) |  Media

Objective: The intent recognizers of advanced lower limb prostheses utilize mechanical sensors on the prosthesis and/or electromyographic measurements from the residual limb. Besides the delay caused by these signals, such systems require user-specific databases to train the recognizers. In this work, our objective is the development and validation of a user-independent intent recognition framewor... View full abstract»

• ### Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers

Publication Year: 2017, Page(s): 1
| | PDF (1326 KB)

Objective: The objectives of this work is to develop and test the ability of a wearable physiological sensors system, based on ECG, EDA and EEG, to capture human stress and to assess whether the detected changes in physiological signals correlate with changes in salivary cortisol level, which is a reliable, objective biomarker of stress. Methods: 15 healthy participants, seven males and six female... View full abstract»

• ### Uncertainty in Limb Configuration Makes Minimal Contribution to Errors Between Observed and Predicted Forces in a Musculoskeletal Model of the Rat Hindlimb

Publication Year: 2017, Page(s): 1
| | PDF (512 KB)

Subject-specific musculoskeletal models are increasingly used in biomedical applications to predict endpoint forces due to muscle activation, matching predicted forces to experimentally observed forces at a specific limb configuration. However, it is difficult to precisely measure the limb configuration at which these forces are observed. The consequent uncertainty in limb configuration might cont... View full abstract»

• ### A Novel Accelerometer-based Technique for Robust Detection of Walking Direction

Publication Year: 2017, Page(s): 1
| | PDF (3326 KB)

Objective: Distance estimation in pedestrian dead reckoning is acquired using vector norm of accelerations that results in positive values. However, anteroposterior acceleration is negative when step taken backwards, so must be detected for accurate localisation. This paper proposes a novel approach for detection of walking direction that uses a dominant trend duration. Methods: The approach evalu... View full abstract»

• ### Numerical model reduction for the prediction of interface pressure applied by compression bandages on the lower leg

Publication Year: 2017, Page(s): 1
| | PDF (2211 KB)

Objective: To develop a new method for the prediction of interface pressure applied by medical compression bandages Methods: A finite element simulation of bandage application was designed, based on patient-specific leg geometries. For personalized interface pressure prediction, a model reduction approach was proposed, which included the parameterization of the leg geometry. Pressure values comput... View full abstract»

• ### From Cell to Tissue Properties - Modeling Skin Electroporation with Pore and Local Transport Region Formation

Publication Year: 2017, Page(s): 1
| | PDF (1572 KB)

Current models of tissue electroporation either describe tissue with its bulk properties or include cell level properties, but model only a few cells of simple shapes in low-volume fractions or are in two dimensions. We constructed a 3-dimensional model of realistically shaped cells in realistic volume fractions. By using a ‘unit cell’ model, the equivalent dielectric properties of w... View full abstract»

• ### Single-Scan High-Resolution 2D J-Resolved Spectroscopy in Inhomogeneous Magnetic Fields

Publication Year: 2017, Page(s): 1
| | PDF (1231 KB)

A method is proposed to obtain high-resolution 2D J-resolved NMR spectra in inhomogeneous magnetic fields. The proposed experiment enables the acquisition of an entire 2D spectrum in a single scan by utilizing intermolecular double-quantum coherences (iDQCs) and the spatial encoding of NMR observables. Chemical shifts, J coupling constants, and multiplet patterns are recovered even when field inho... View full abstract»

• ### A three-dimensional (3D) arrayed microfluidic blood-brain barrier model with integrated electrical sensor array

Publication Year: 2017, Page(s): 1
| | PDF (1138 KB)

Objective: The blood-brain barrier (BBB) poses a unique challenge to the development of neurological drugs due to its impermeability to most chemical compounds. Most in vitro BBB models are technically limited and lack in vivo conditions. Here we show a biomimetic co-culture microfluidic BBB-on-a-chip that provides interactions between neurovascular and endothelial cells across a porous polycarbon... View full abstract»

• ### In vivo super-resolution imaging of neuronal structure in the mouse brain

Publication Year: 2017, Page(s): 1
| | PDF (702 KB)

Objective: This study proposes and evaluates a technique for in vivo deep-tissue super-resolution imaging in the light-scattering mouse brain at up to a 3.5 Hz two-dimensional imaging rate with a 21 x 21 μm$^2$ field-of-view. Methods: We combine the deep-tissue penetration and high imaging speed of resonant laser scanning two-photon microscopy with the super-re... View full abstract»

• ### Endocardial Energy Harvesting by Electromagnetic Induction

Publication Year: 2017, Page(s): 1
| | PDF (2082 KB) |  Media

Objective: Cardiac pacemakers require regular medical follow-ups to ensure proper functioning. However, device replacements due to battery depletion are common and account for ~25% of all implantation procedures. Furthermore, conventional pacemakers require pacemaker leads which are prone to fractures, dislocations or isolation defects. The ensuing surgical -interventions increase risks for the pa... 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.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Bin He
University of Minnesota