Algorithm Based on the Short-Term R ényi Entropy And IF Estimation for Noisy EEG Signals Analysis
Stochastic electroencephalogram (EEG) signals are known to be nonstationary and often multicomponential. Detecting and extracting their components may help clinicians to localize brain neurological dysfunctionalities for patients with motor control disorders due to the fact that movement-related cortical activities are reflected in spectral EEG changes. A new algorithm for EEG signal components detection from its time-frequency distribution (TFD) has been proposed in this paper. The algorithm utilizes the modification of the R ényi entropy-based technique for number of components estimation, called short-term Rényi entro...
Source: Computers in Biology and Medicine - November 14, 2016 Category: Bioinformatics Authors: Jonatan Lerga, Nicoletta Saulig, Vladimir Mozeti č Source Type: research
Prediction of Myocardial Infarction by Assessing Regional Cardiac Wall in CMR Images through Active Mesh Modeling
In this study, using Cine MRI images, the infarct region was precisely determined by examining the local migration path length of critical points on myocardium borders and the fractional thickening effects. First, MRI Cine images of Epi/Endocardium were processed in 3D for all slices, and then incorporated in all frames to build a dynamic model. Epi/Endocardium images were segmented using Heiberg algorithm, and then by a robust restricted block matching algorithm, the sparse points were tracked. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 13, 2016 Category: Bioinformatics Authors: Hossein Yousefi-Banaem, Saeed kermani, Sasan Asiaei, Hamid Sanei Source Type: research
Classification of teeth in cone-beam CT using deep convolutional neural network
In this study, we investigated the application of a deep convolutional neural network (DCNN) for classifying tooth types on dental cone-beam computed tomography (CT) images. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 11, 2016 Category: Bioinformatics Authors: Yuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita Source Type: research
Statistical Content-Adapted Sampling (SCAS) for 3D Computed Tomography
In this paper, a framework to create a statistical content-adapted sampling (SCAS) for 3D X-ray Computed Tomography (CT) is introduced. SCAS aims at providing an accurate but light reconstruction volume. Based on decision theory, the 3D reconstruction space is sampled from the raw projection data in three steps to directly fit the sample. To do so, the structural information is first extracted from the projections by edge detection. This information is then merged in the reconstruction space, providing a pointcloud which accurately delineates the 3D interfaces of the specimen. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 7, 2016 Category: Bioinformatics Authors: Anthony Cazasnoves, Sylvie Sevestre, Fanny Buyens, Fran çoise Peyrin Source Type: research
Computationally Efficient Analysis of Particle Transport and Deposition in a Human Whole-Lung-Airway Model. Part II: Dry Powder Inhaler Application
Pulmonary drug delivery is becoming a favored route for administering drugs to treat both lung and systemic diseases. Examples of lung diseases include asthma, cystic fibrosis and chronic obstructive pulmonary disease (COPD) as well as respiratory distress syndrome (ARDS) and pulmonary fibrosis. Special respiratory drugs are administered to the lungs, using an appropriate inhaler device. Next to the pressurized metered-dose inhaler (pMDI), the dry powder inhaler (DPI) is a frequently used device because of the good drug stability and a minimal need for patient coordination. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 2, 2016 Category: Bioinformatics Authors: Arun V. Kolanjiyil, Clement Kleinstreuer, Ruxana T. Sadikot Source Type: research
Esophageal Stent Migration: Testing Few Hypothesis with a Simplified Mathematical Model
Esophageal stent placement has significantly improved the quality of life in patients with malignant as well as benign esophageal obstructing lesions. Despite its early success and rapid adoption, stent migration still occurs in as many as 30% of cases especially with fully covered stents. To date, few models of interaction between the stent and the esophageal wall have been published and these have only focused on the deployment of the stent or the static mechanical stress distribution of the stent material. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 1, 2016 Category: Bioinformatics Authors: Marc Garbey, Remi Salmon, Vid Fikfak, Claude O. Clerc Source Type: research
Structuralizing biomedical abstracts with discriminative linguistic features
This study aims to automate the reformatting of unstructured abstracts into the Introduction, Methods, Results, and Discussion (IMRAD) format. The quality of this reformatting relies on the features used in sentence classification. Therefore, we explored the most effective linguistic features in MEDLINE papers. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - November 1, 2016 Category: Bioinformatics Authors: Sejin Nam, Senator Jeong, Sang-Kyun Kim, Hong-Gee Kim, Victoria Ngo, Nansu Zong Source Type: research
Tetrahedral Node for Transmission-Line Modeling (TLM) applied to Bio-heat Transfer
Transmission-Line Modeling (TLM) is a numerical method used to solve complex and time-domain bio-heat transfer problems. In TLM, parallelepipeds are used to discretize three-dimensional problems. The drawback in using parallelepiped shapes is that instead of refining only the domain of interest, a large additional domain would also have to be refined, which results in increased computational time and memory space. In this paper, we developed a tetrahedral node for TLM applied to bio-heat transfer that does not have the drawback associated with the parallelepiped node. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 30, 2016 Category: Bioinformatics Authors: Hugo F.M. Milan, Kifle G. Gebremedhin Source Type: research
Lumen segmentation in magnetic resonance images of the carotid artery
Investigation of the carotid artery plays an important role in the diagnosis of cerebrovascular events. Segmentation of the lumen and vessel wall in Magnetic Resonance (MR) images is the first step towards evaluating any possible cardiovascular diseases like atherosclerosis. However, the automatic segmentation of the lumen is still a challenge due to the low quality of the images and the presence of other elements such as stenosis and malformations that compromise the accuracy of the results. In this article, a method to identify the location of the lumen without user interaction is presented. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 27, 2016 Category: Bioinformatics Authors: Danilo Samuel Jodas, Aledir Silveira Pereira, Jo ão Manuel R.S. Tavares Source Type: research
Automated Characterization of Fatty Liver Disease and Cirrhosis Using Curvelet Transform and Entropy Features Extracted from Ultrasound Images
Fatty liver disease (FLD) is reversible disease and can be treated, if it is identified at an early stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease such as cirrhosis which may ultimately lead to death. Therefore, it is essential to detect it at an early stage before the disease progresses to an irreversible stage. Several non-invasive computer-aided techniques are proposed to assist in the early detection of FLD and cirrhosis using ultrasound images. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 27, 2016 Category: Bioinformatics Authors: U Rajendra Acharya, U Raghavendra, Hamido Fujita, Yuki Hagiwara, Joel EW Koh, Tan Jen Hong, Vidya K Sudarshan, Anushya Vijayananthan, Chai Hong Yeong, Anjan Gudigar, Kwan Hoong Ng Source Type: research
Computationally Efficient Analysis of Particle Transport and Deposition in a Human Whole-Lung-Airway Model. Part I: Theory and Model Validation
Computational predictions of aerosol transport and deposition in the human respiratory tract can assist in evaluating detrimental or therapeutic health effects when inhaling toxic particles or administering drugs. However, the sheer complexity of the human lung, featuring a total of 16 million tubular airways, prohibits detailed computer simulations of the fluid-particle dynamics for the entire respiratory system. Thus, in order to obtain useful and efficient particle deposition results, an alternative modeling approach is necessary where the whole-lung geometry is approximated and physiological boundary conditions are imp...
Source: Computers in Biology and Medicine - October 26, 2016 Category: Bioinformatics Authors: Arun V Kolanjiyil, Clement Kleinstreuer Source Type: research
Numerical study for MHD peristaltic flow in a rotating frame
The aim of present investigation is to model and analyze the magnetohydrodynamic (MHD) peristaltic transport of Prandtl fluid in a channel with flexible walls. The whole system consisting of fluid and channel are in a rotating frame of reference with uniform angular velocity. Viscous dissipation in thermal equation is not ignored. The channel boundaries satisfy the convective conditions in terms of temperature. The arising complicated problems are reduced in solvable form using large wavelength and small Reynolds number assumptions. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 21, 2016 Category: Bioinformatics Authors: T. Hayat, Hina Zahir, Anum Tanveer, A. Alsaedi Source Type: research
Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition
In electroencephalography (EEG)-based emotion recognition systems, the distribution between the training samples and the testing samples may be mismatched if they are sampled from different experimental sessions or subjects because of user fatigue, different electrode placements, varying impedances, etc. Therefore, it is difficult to directly classify the EEG patterns with a conventional classifier. The domain adaptation method, which is aimed at obtaining a common representation across training and test domains, is an effective method for reducing the distribution discrepancy. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 21, 2016 Category: Bioinformatics Authors: Xin Chai, Qisong Wang, Yongping Zhao, Xin Liu, Ou Bai, Yongqiang Li Source Type: research
Developing New VO2max Prediction Models from Maximal, Submaximal and Questionnaire Variables Using Support Vector Machines Combined with Feature Selection
In this study, for the first time in the literature, we combine the triple of maximal, submaximal and questionnaire variables to propose new VO2max prediction models using Support Vector Machines (SVM ’s) combined with the Relief-F feature selector to predict and reveal the distinct predictors of VO2max. For comparison purposes, hybrid models based on double combinations of maximal, submaximal and questionnaire variables have also been developed. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - October 19, 2016 Category: Bioinformatics Authors: Fatih Abut, Mehmet Fatih Akay, James George Source Type: research
Concise biomarker for spatial –temporal change in three-dimensional ultrasound measurement of carotid vessel wall and plaque thickness based on a graph-based random walk framework: Towards sensitive evaluation of response to therapy
Rapid progression in total plaque area and volume measured from ultrasound images has been shown to be associated with an elevated risk of cardiovascular events. Since atherosclerosis is focal and predominantly occurring at the bifurcation, biomarkers that are able to quantify the spatial distribution of vessel-wall-plus-plaque thickness (VWT) change may allow for more sensitive detection of treatment effect. The goal of this paper is to develop simple and sensitive biomarkers to quantify the responsiveness to therapies based on the spatial distribution of VWT-Change on the entire 2D carotid standardized map previously des...
Source: Computers in Biology and Medicine - October 18, 2016 Category: Bioinformatics Authors: Bernard Chiu, Weifu Chen, Jieyu Cheng Source Type: research
