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This page shows you the most recent publications within this specialty of the MedWorm directory.

Effect of amplitude and duration of impulsive pressure on endothelial permeability in in vitro fluid percussion trauma
Conclusions: The changes in intracranial pressure during head impact impair endothelial barrier function by the disruption of the integrity of endothelial cell-cell junctions, and the degree of increase in endothelial permeability depends on the amplitude, duration, and direction (compressive and tensile) of the impulsive pressure. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - April 16, 2014 Category: Biomedical Engineering Authors: Hiromichi NakadateKoji InuzukaSuguru AkanumaAkira KakutaShigeru Aomura Source Type: research

Reducing the impact of insulin sensitivity variability on glycaemic outcomes using separate stochastic models within the STAR glycaemic protocol
Conclusions: SI levels increase significantly, while variability decreases during the first 18 hours of a patients stay in ICU. Virtual trials, using a separate stochastic model for this period, demonstrated a reduction in variability and hypoglycaemia during the first 18 hours without adversely affecting the overall level of control. Thus, use of multiple models can reduce the impact of SI variability during model-based glycaemic control. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - April 16, 2014 Category: Biomedical Engineering Authors: Felicity ThomasChristopher PrettyLiam FiskGeoffrey ShawJ ChaseThomas Desaive Source Type: research

Validation of Algorithms for the Estimation of Pulse Transit Time: Where do We Stand Today? Response to Commentaries by Papaioannou et al.
PMID: 24728865 [PubMed - as supplied by publisher] (Source: Annals of Biomedical Engineering)
Source: Annals of Biomedical Engineering - April 12, 2014 Category: Biomedical Engineering Authors: Gaddum NR, Alastruey J, Chowienczyk P, Schaeffter T Tags: Ann Biomed Eng Source Type: research

Measuring Subject Specific Muscle Model Parameters of the First Dorsal Interosseous In Vivo.
This study focused on the First Dorsal interosseous (FDI) given its unique function as the sole abductor of the second metacarpophalangeal joint. There were two purposes to this study: (1) to describe the procedures that can be used in vivo to determine the properties of a model of the FDI. (2). To determine the model parameters required to characterize the FDI for a group of four subjects. Parameters were determined using ultrasound imaging and a custom-built finger dynamometer. Some parameters were measured directly while other parameters had to be estimated using a least-squares criterion. For example, the parameters fo...
Source: Annals of Biomedical Engineering - April 12, 2014 Category: Biomedical Engineering Authors: Infantolino BW, Challis JH Tags: Ann Biomed Eng Source Type: research

Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker
The track-oriented multiple hypothesis tracker (TOMHT) is a popular algorithm for tracking multiple targets in a cluttered environment. In tracking parlance it is known as a multi-scan, maximum a posteriori (MAP) estimator—multi-scan because it enumerates possible data associations jointly over several scans, and MAP because it seeks the most likely data association conditioned on the observations. This paper extends the TOMHT, building on its internal representation to support probabilistic queries other than MAP estimation. Specifically, by summing over the TOMHT's pruned space of data association hypotheses one c...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

A Markov Chain Channel Model for Active Transport Molecular Communication
In molecular communication, small particles such as molecules are used to convey information. These particles are released by a transmitter into a fluidic environment, where they propagate freely (e.g. through diffusion) or through externals means (e.g. different types of active transport) until they arrive at the receiver. Although there are a number of different mathematical models for the diffusion-based molecular communication, active transport molecular communication (ATMC) lacks the necessary theoretical framework. Previous works had to rely almost entirely on full Monte Carlo simulations of these systems. However, f...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Deepest Minimum Criterion for Biased Affine Estimation
A new strategy called the Deepest Minimum Criterion (DMC) is presented for optimally obtaining an affine transformation of a given unbiased estimator, when a-priori information on the parameters is known. Here, it is considered that the samples are drawn from a distribution parametrized by an unknown deterministic vector parameter. The a-priori information on the true parameter vector is available in the form of a known subset of the parameter space to which the true parameter vector belongs. A closed form exact solution is given for the non-linear DMC problem in which it is known that the true parameter vector belongs to ...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix
For non-ellipsoidal extended object and group target tracking (NEOT and NGTT), using a random matrix to simplify the extension as an ellipsoid, although efficient, may not be accurate enough because of the loss of useful information in shape and orientation. In view of this, we model a non-ellipsoidal extended object or target group as a combination of multiple ellipsoidal sub-objects, each represented by a random matrix. Different sub-objects are distinguished by different dynamic models. Based on such models, a Bayesian approach is proposed to estimate the kinematic states and the extensions of the sub-objects. For maneu...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Adaptive Double Subspace Signal Detection in Gaussian Background—Part II: Partially Homogeneous Environments
In this part of the paper, we continue to study the problem of detecting a double subspace signal in Gaussian noise. Precisely, we address the detection problem in partially homogeneous environments, where the primary and secondary data share the same covariance matrix up to an unknown scaling factor. We derive the generalized likelihood ratio test (GLRT), Rao test, Wald test, and their two-step versions. We also introduce three spectral norm tests (SNTs). All these detectors possess the constant false alarm rate (CFAR) property. Moreover, various kinds of special cases of these detectors are given. At the stage of perform...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

A Bayesian Framework for Blind Adaptive Beamforming
In this work, the problem of blind adaptive beamforming in the presence of steering-vector uncertainty is addressed within a Bayesian estimation framework. We express the single-input multiple-output (SIMO) observation model in the short-time-Fourier-transform (STFT) domain and employ a variational formulation to obtain iterative closed-form learning rules for inferring approximate posteriors on the steering vector and the target signal. By varying the a priori belief in the top-level statistical model, i.e., modeling a quantity as a random process or an unknown deterministic entity, it is shown that the considered framewo...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Reconfigurable Adaptive Array Beamforming by Antenna Selection
Traditional adaptive array beamforming with a fixed array configuration can lead to significant inefficiencies and performance loss under different scenarios. As antennas become smaller and cheaper relative to front-ends, it becomes important to devise a reconfigurable adaptive antenna array (RAAA) strategy to yield high signal to noise and interference ratio using fewer antennas. This is achieved by selecting $K$ from $N$ antennas to minimize the Spatial Correlation Coefficient (SCC) between the desired signal and the interference. The lower bound of optimum SCC is formulated with two relaxation methods to give informatio...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach
The envisioned smart grid aims at improving the interaction between the supply- and the demand-side of the electricity network, creating unprecedented possibilities for optimizing the energy usage at different levels of the grid. In this paper, we propose a distributed demand-side management (DSM) method intended for smart grid users with load prediction capabilities, who possibly employ dispatchable energy generation and storage devices. These users participate in the day-ahead market and are interested in deriving the bidding, production, and storage strategies that jointly minimize their expected monetary expense. The r...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Joint Space Decomposition-and-Synthesis Approach and Achievable DoF Regions for $K$ -User MIMO Interference Channels
The paper proposes a new approach of joint space decomposition-and-synthesis (JSDS) for deriving achievable degree-of-freedom (DoF) region by interference alignment without symbol extension for $K$-user MIMO interference channel. Solving the interference alignment problem is to find the precoders that align desired signal and interference with disjoint subspaces at receivers. A related property of these precoders is that the solution range for each one of them is a union of linear spaces, termed transmit spaces. Based on this property, the JSDS approach is developed to derive transmit spaces that fulfill alignment conditio...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

$L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm
In recent studies on sparse modeling, the nonconvex regularization approaches (particularly, $L_{q}$ regularization with $qin(0,1)$ ) have been demonstrated to possess capability of gaining much benefit in sparsity-inducing and efficiency. As compared with the convex regularization approaches (say, $L_{1}$ regularization), however, the convergence issue of the corresponding algorithms are more difficult to tackle. In this paper, we deal with this difficult issue for a specific but typical nonconvex regularization scheme, the $L_{1/2}$ regularization, which has been successfully used to many applications. More specifically,...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

“Quasi-Blind” Calibration of an Array of Acoustic Vector-Sensors That Are Subject to Gain Errors/Mis-Location/Mis-Orientation
This paper advances a new “quasi-blind” calibration algorithm to calibrate a multi-array network (MAN) of acoustic-vector-sensors, whose component-sensors may have non-ideal gain/phase responses, incorrect orientations, and imprecise locations. This proposed calibration is “quasi-blind” in not requiring any prior knowledge/estimation of any training signal's arrival-angle. This proposed algorithm is computationally orders-of-magnitude more efficient than maximum-likelihood estimation. These advantages are achieved here by exploiting the acoustic vector-sensor's quintessential characters, to inte...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Adaptive Double Subspace Signal Detection in Gaussian Background—Part I: Homogeneous Environments
In this two-part paper, we consider the problem of adaptive multidimensional/multichannel signal detection in Gaussian noise with unknown covariance matrix. The test data (primary data) is assumed as a collection of sample vectors, arranged as the columns of a rectangular data array. The rows and columns of the signal matrix are both assumed to lie in known subspaces, but with unknown coordinates. Due to this feature of the signal structure, we name this kind of signal as the double subspace signal. Part I of this paper focuses on the adaptive detection in homogeneous environments, while Part II deals with the adaptive det...
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - April 11, 2014 Category: Biomedical Engineering Source Type: research

Effects of stent design on new clinical issue of longitudinal stent compression in interventional cardiology.
Abstract In recent years, interventional cardiologists have discussed over a new clinical issue called longitudinal stent compression (LSC), a failure mode not previously observed in coronary stents. This phenomenon occurs when the physician attempts to cross a deployed stent with a second device, causing the stent to dramatically shorten when two devices are accidentally entangled. While this phenomenon has been observed with a number of stent platforms, it seems more common with the Element stent. In this paper, a computational LSC model using finite element analysis was developed. A systematic investigation was ...
Source: Biomedical Microdevices - April 11, 2014 Category: Biomedical Engineering Authors: Hsiao HM, Yeh CT, Wang C, Chao LH, Li DR Tags: Biomed Microdevices Source Type: research

CDRH OSEL Recruitment for ORISE - Postdoctoral Fellowship (Biomedical Engineer)
(Source: Food and Drug Adminstration (FDA): CDRHNew)
Source: Food and Drug Adminstration (FDA): CDRHNew - April 10, 2014 Category: Medical Equipment Source Type: news

Controlled ultrasonic micro-dissection of thin tissue sections.
Abstract In order to obtain sufficient quantities of pure populations of cells or a single cell from surrounding tissue for analytical investigation, we have developed an ultrasonic microdissection system. The system utilizes a vision-based method for detecting the contact between the microdissection needle tip and a target surface. A multilayer stack piezoelectric actuator is employed to generate ultrasonic vibrations for histological isolation. Automated micro-dissection is also realized using visual feedback and vision-based control. Experimental results on tumor tissue sections show that the system has a high d...
Source: Biomedical Microdevices - April 10, 2014 Category: Biomedical Engineering Authors: Ru C, Liu J, Pang M, Sun Y Tags: Biomed Microdevices Source Type: research

Mixotrophic cultivation of oleaginous Chlorella sp. KR-1 mediated by actual coal-fired flue gas for biodiesel production.
Abstract Flue gases mainly consist of CO2 that can be utilized to facilitate microalgal culture for bioenergy production. In the present study, to evaluate the feasibility of the utilization of flue gas from a coal-burning power plant, an indigenous and high-CO2-tolerant oleaginous microalga, Chlorella sp. KR-1, was cultivated under mixotrophic conditions, and the results were evaluated. When the culture was mediated by flue gas, highest biomass (0.8 g cells/L·d) and FAME (fatty acid methyl esters) productivity (121 mg/L·d) were achieved in the mixotrophic mode with 5 g/L glucose, 5 mM nitrate, and a flow rat...
Source: Bioprocess and Biosystems Engineering - April 10, 2014 Category: Biomedical Engineering Authors: Praveenkumar R, Kim B, Choi E, Lee K, Cho S, Hyun JS, Park JY, Lee YC, Lee HU, Lee JS, Oh YK Tags: Bioprocess Biosyst Eng Source Type: research

Modeling Pressure Drop Using Generalized Scaffold Characteristics in an Axial-Flow Bioreactor for Soft Tissue Regeneration.
Abstract The goal of this study was to better understand how analytical permeability models based on scaffold architecture can facilitate a non-invasive technique to real time monitoring of pressure drop in bioreactors. In particular, we evaluated the permeability equations for electrospun and freeze dried scaffolds via pressure drop comparison in an axial-flow bioreactor using computational fluid dynamic (CFD) and experimentation. The polycaprolactone-cellulose acetate fibers obtained by co-axial electrospinning technique and Chitosan-Gelatin scaffolds prepared using freeze-drying techniques were utilized. Initial...
Source: Annals of Biomedical Engineering - April 10, 2014 Category: Biomedical Engineering Authors: Podichetty JT, Bhaskar PR, Khalf A, Madihally SV Tags: Ann Biomed Eng Source Type: research

An In Vitro Evaluation of the Impact of Eccentric Deployment on Transcatheter Aortic Valve Hemodynamics.
The objective of this study is to evaluate whether eccentric deployment of TAVRs lead to turbulent blood flow and blood cell damage. Particle Image Velocimetry was used to quantitatively characterize fluid velocity fields, shear stress and turbulent kinetic energy downstream of TAVRs deployed in circular and eccentric orifices representative of deployed TAVRs in vivo. Effective orifice area (EOA) and mean transvalvular pressure gradient (TVG) values did not differ substantially in circular and eccentric deployed valves, with only a minor decrease in EOA observed in the eccentric valve (2.0 cm(2) for circular, 1.9 cm(2) f...
Source: Annals of Biomedical Engineering - April 10, 2014 Category: Biomedical Engineering Authors: Gunning PS, Saikrishnan N, McNamara LM, Yoganathan AP Tags: Ann Biomed Eng Source Type: research

Validation of Algorithms for the Estimation of Pulse Transit Time: Where do We Stand Today?
PMID: 24719049 [PubMed - as supplied by publisher] (Source: Annals of Biomedical Engineering)
Source: Annals of Biomedical Engineering - April 10, 2014 Category: Biomedical Engineering Authors: Papaioannou TG, Vardoulis O, Stergiopulos N Tags: Ann Biomed Eng Source Type: research

Pro-Atherogenic Shear Stress and HIV Proteins Synergistically Upregulate Cathepsin K in Endothelial Cells.
Abstract Major advances in highly active antiretroviral therapies (HAART) have extended the lives of people living with HIV, but there still remains an increased risk of death by cardiovascular diseases (CVD). HIV proteins have been shown to contribute to cardiovascular dysfunction with effects on the different cell types that comprise the arterial wall. In particular, HIV-1 transactivating factor (Tat) has been shown to bind to endothelial cells inducing a range of responses that contribute to vascular dysfunction. It is well established that hemodynamics also play an important role in endothelial cell mediated at...
Source: Annals of Biomedical Engineering - April 10, 2014 Category: Biomedical Engineering Authors: Parker IK, Roberts LM, Hansen L, Gleason RL, Sutliff RL, Platt MO Tags: Ann Biomed Eng Source Type: research

Human multipotent mesenchymal stem cells improve healing after collagenase tendon injury in the rat
Conclusions: hMSCs can support tendon healing through better vascularization as well as through larger deposits and better organization of the extracellular matrix. The treatment procedure was found to be safe; however, cartilage and bone formation at the implantation site should be taken into account when planning subsequent in vivo and clinical trials on tendinopathy as an expected adverse event. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - April 9, 2014 Category: Biomedical Engineering Authors: Lucia UrdzikovaRadek SedlacekTomas SuchyTakashi AmemoriJiri RuzickaPetr LesnyVojtech HavlasEva SykovaPavla Jendelova Source Type: research

Information and Energy Cooperation in Cognitive Radio Networks
Cooperation between the primary and secondary systems can improve the spectrum efficiency in cognitive radio networks. The key idea is that the secondary system helps to boost the primary system's performance by relaying, and, in return, the primary system provides more opportunities for the secondary system to access the spectrum. In contrast to most of existing works that only consider information cooperation, this paper studies joint information and energy cooperation between the two systems, i.e., the primary transmitter sends information for relaying and feeds the secondary system with energy as well. This is particul...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

MIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix
Compared to phased-array, multiple-input multiple- output (MIMO) radars provide more degrees-of-freedom (DOF) that can be exploited for improved spatial resolution, better parametric identifiability, lower sidelobe levels at the transmitter/receiver, and design variety of transmit beampatterns. The design of the transmit beampattern generally requires the waveforms to have arbitrary auto- and cross-correlation properties. The generation of such waveforms is a two-step complicated process. In the first step, a waveform covariance matrix is synthesized, which is a constrained optimization problem. In the second step, to real...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs
This paper studies the stochastic behavior of the LMS and NLMS algorithms for a system identification framework when the input signal is a cyclostationary white Gaussian process. The input cyclostationary signal is modeled by a white Gaussian random process with periodically time-varying power. Mathematical models are derived for the mean and mean-square-deviation (MSD) behavior of the adaptive weights with the input cyclostationarity. These models are also applied to the non-stationary system with a random walk variation of the optimal weights. Monte Carlo simulations of the two algorithms provide strong support for the t...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Bayesian Quadratic Network Game Filters
A repeated network game where agents have quadratic utilities that depend on information externalities—an unknown underlying state—as well as payoff externalities—the actions of all other agents in the network—is considered. Agents play Bayesian Nash Equilibrium strategies with respect to their beliefs on the state of the world and the actions of all other nodes in the network. These beliefs are refined over subsequent stages based on the observed actions of neighboring peers. This paper introduces the Quadratic Network Game (QNG) filter that agents can run locally to update their beliefs, selec...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements
This paper determines to within a single measurement the minimum number of measurements required to successfully reconstruct a signal drawn from a Gaussian mixture model in the low-noise regime. The method is to develop upper and lower bounds that are a function of the maximum dimension of the linear subspaces spanned by the Gaussian mixture components. The method not only reveals the existence or absence of a minimum mean-squared error (MMSE) error floor (phase transition) but also provides insight into the MMSE decay via multivariate generalizations of the MMSE dimension and the MMSE power offset, which are a function of...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Fourier-Based Transmit Beampattern Design Using MIMO Radar
In multiple-input multiple-output (MIMO) radar settings, it is often desirable to transmit power only to a given location or set of locations defined by a beampattern. Transmit waveform design is a topic that has received much attention recently, involving synthesis of both the signal covariance matrix, ${bf R}$, as well as the actual waveforms. Current methods involve a two-step process of designing ${bf R}$ via iterative solutions and then using ${bf R}$ to generate waveforms that fulfill practical constraints such as having a constant-envelope or drawing from a finite alphabet. In this paper, a closed-form method to des...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Comment on “Energy Aware Iterative Source Localization for Wireless Sensor Networks”
A recent paper [E. Masazade, R. Niu, P. K. Varshney, and M. Keskinoz, “Energy Aware Iterative Source Localization for Wireless Sensor Networks”, IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4824–4835, 2010] presents an iterative source localization scheme based on the selection of sensors. An importance sampling based Monte Carlo method was employed at each iteration using the entire received data to approximate the posterior distribution of the source location in the paper. In this note, we propose an alternative sequential importance sampling and resampling algorithm to implement the i...
Source: IEEE Transactions on Signal Processing - April 8, 2014 Category: Biomedical Engineering Source Type: research

Tool to visualize and evaluate operator proficiency in laser hair-removal treatments
Conclusions: Because the proposed system is simple and highly affordable, it is expected to benefit many operators in clinics to train and maintain skilled performance in LHR treatment, which will eventually lead to accomplishing a uniform laser delivery for safe and effective LHR treatment. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - April 8, 2014 Category: Biomedical Engineering Authors: Seungwoo NohWoo Seok KohHyoung-woo LimChiyul YoonYoudan KimJin Ho ChungHee Chan KimSungwan Kim Source Type: research

Computer-Aided Detection System for Lung Cancer in Computed Tomography Scans: Review and Future Prospects.
Conclusions: Further research is needed to improve existing systems and propose new solutions. For this, webelieve that collaborative efforts through the creation of open source software communities arenecessary to develop a CADe system with all the requirements mentioned and with a shortdevelopment cycle. In addition, future CADe systems should improve the level of automation,through integration with picture archiving and communication systems (PACS) and the electronicrecord of the patient, decrease the number of false positives, measure the evolution of tumors,evaluate the evolution of the oncological treatment, and its ...
Source: BioMedical Engineering OnLine - April 8, 2014 Category: Biomedical Engineering Authors: Macedo FirminoAntônio MoraisRoberto MendonçaMarcel DantasHelio HekisRicardo Valentim Source Type: research

Production of bio-fuel ethanol from distilled grain waste eluted from Chinese spirit making process.
Abstract Distilled grain waste eluted from Chinese spirit making is rich in carbohydrates, and could potentially serve as feedstock for the production of bio-fuel ethanol. Our study evaluated two types of saccharification methods that convert distilled grain waste to monosaccharides: enzymatic saccharification and concentrated H2SO4 saccharification. Results showed that enzymatic saccharification performed unsatisfactorily because of inefficient removal of lignin during pretreatment. Concentrated H2SO4 saccharification led to a total sugar recovery efficiency of 79.0 %, and to considerably higher sugar concentrati...
Source: Bioprocess and Biosystems Engineering - April 8, 2014 Category: Biomedical Engineering Authors: Tan L, Sun Z, Zhang W, Tang Y, Morimura S, Kida K Tags: Bioprocess Biosyst Eng Source Type: research

Biomechanical analysis and comparison of 12 dental implant systems using 3D finite element study.
This study is helpful in choosing the optimal dental implant for clinical application and also contributes to individual implant design. Our study could also provide reference for choice and modification of dental implant in any other insertion sites and bone qualities. PMID: 24708403 [PubMed - as supplied by publisher] (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 8, 2014 Category: Biomedical Engineering Authors: Liang R, Guo W, Qiao X, Wen H, Yu M, Tang W, Liu L, Wei Y, Tian W Tags: Comput Methods Biomech Biomed Engin Source Type: research