Computer Methods and Programs in Biomedicine This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A Real-Time Stress Classification System based on Arousal Analysis of the Nervous System by an F-State Machine
Nowadays, the study of stress in persons is an issue of high relevance into the research community, due to its effect in our society, as it has great influence on the health and the wellness of human beings. Focused on this issue, our multidisciplinary research group, composed of engineers, neuro-physiologics, medicals and people from the assistive field, has set as one of the main objectives to detect, identify and classify the different stress levels that a person lives in stressful situations. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 29, 2017 Category: Bioinformatics Authors: R. Mart ínez, E. Irigoyen, A. Arruti, J.I. Martin, J. Muguerza Source Type: research

Heart Rate Variability Metrics for Fine-grained Stress Level Assessment
The impact of the mental stress in the health condition is currently well recognized [1 –3]. The effect of the stress on the human body capability to regulate inflammation can promote the development and progression of diseases. Stress was identified as a risk factor in the heart diseases, diabetes, asthma, upper respiratory infections and depression [1,2,4,5]. For these reasons, it is extremely important to have instrumental solutions that allow the stressful events assessment and monitoring in order to measure, quantify and correlate with health impact [4,6–8]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 29, 2017 Category: Bioinformatics Authors: T ânia Pereira, Pedro R. Almeida, João P.S. Cunha, Ana Aguiar Source Type: research

Computational modeling for prediction of the shear stress of three-dimensional isotropic and aligned fiber networks
Interstitial flow (IF) is a creeping flow through the interstitial space of the extracellular matrix (ECM) [1]. IF has been known to play a key role in maintaining tissue homeostasis by transporting cytokines, antigens, nutrients, and various signaling molecules, which have a significant effect on various functions of cells and tissues such as cell differentiation, growth, and tissue remodeling [2 –4]. It also plays a morphoregulator to form blood or lymphatic vessels and induces mechanical strain to align the collagen matrix [5–7]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 29, 2017 Category: Bioinformatics Authors: Seungman Park Source Type: research

Enhanced Particle-filtering Framework for Vessel Segmentation and Tracking
With the ongoing increase in life expectancy, cardio-vascular diseases have become the leading cause of death worldwide [1]. Therefore, there is an increasing demand for a method that can detect and track cardiac anomalies. Coronary artery anomaly detection considerably influences diagnoses because the coronary artery supplies blood to the heart muscle. Thus, the ability to segment the artery is essential for accurately detecting calcification or stenosis. However, the contrast of any coronary artery image is low in computed tomography/magnetic resonance imaging; thus, it is difficult to autonomously segment or track the v...
Source: Computer Methods and Programs in Biomedicine - June 26, 2017 Category: Bioinformatics Authors: Sang-Hoon Lee, Jiwoo Kang, Sanghoon Lee Source Type: research

Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement
Color fundus images are acquired by making photographs of the back of the eye, where blood vessels of humans can be directly visualized in such a non-invasive way [1]. As one of the main features in fundus images, the appearance of retinal blood vessels can provide useful information for the early diagnosis of various diseases, including diabetes, glaucoma, hypertension, arteriosclerosis and cardiovascular diseases [2]. Accurate delineation and measurement of retinal vessels is therefore an important prerequisite for a number of clinical applications. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 26, 2017 Category: Bioinformatics Authors: Lei Zhou, Qi Yu, Xun Xu, Yun Gu, Jie Yang Source Type: research

Automatic Methods for Alveolar Bone Loss Degree Measurement in Periodontitis Periapical Radiographs
Periodontitis involves progressive loss of the  alveolar bone around the teeth. Its diagnosis can be established from (a) clinical examination by probing the gingiva (gums) using a periodontal probe, or (b) radiographic examination by evaluating the patient's radiographs (X-ray films) to determine the amount of alveolar bone loss around the teeth. Determining type and degree of alveolar bone loss by examining radiographs has been a difficult task for most dentists. Recently, two reports on validation of a dental image analyzer tool to measure the degree of alveolar bone loss are available in periodontitis research ...
Source: Computer Methods and Programs in Biomedicine - June 24, 2017 Category: Bioinformatics Authors: P.L. Lin, P.Y. Huang, P.W. Huang Source Type: research

New approach to detect and classify stroke in skull CT images via Analysis of Brain Tissue Densities
Stroke is an injury that abruptly affects brain tissues. This disease is caused by a change in the blood supply to a particular region of the brain, and it results in the loss or reduction of its related functions. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 24, 2017 Category: Bioinformatics Authors: Pedro P. Rebou ças Filho, Róger Moura Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima Source Type: research

Event-Based Control of Depth of Hypnosis in Anesthesia
In modern medicine the control technology influences different clinical practices (consider, for example, robotic surgery or automatic implantable defibrillators [37]). In fact, new discoveries in biology and the improved understanding of biological functions have contributed to the development of new sensors, actuators and mathematical models of the human body response to administration of drugs. This has allowed the introduction of control systems also in drug administration contexts, among which the closed-loop control of anesthesia during surgery is one of the most important [8]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 22, 2017 Category: Bioinformatics Authors: Luca Merigo, Manuel Beschi, Fabrizio Padula, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli Source Type: research

Ultrasound-Based Differentiation of Malignant and Benign Thyroid Nodules: An Extreme Learning Machine Approach
Thyroid nodules are very common endocrine tumors [1]. Many people in the general population have nodules, but they are asymptomatic. The estimated prevalence rate detected by palpation is only 3% to 7% [2, 3]; however, when ultrasound is used to detect thyroid nodules the prevalence rate jumps to 19% to 67% [4]. Most thyroid nodules are benign, but between 3% and 7% of cases are malignant [5]. In 2015, it was estimated that in the United States there were 62,450 new diagnoses of thyroid cancer, and about 1,950 people died from the disease. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 22, 2017 Category: Bioinformatics Authors: Jianfu Xia, Huiling Chen, Qiang Li, Minda Zhou, Limin Chen, Zhennao Cai, Yang Fang, Hong Zhou Source Type: research

Joint Optic Disc and Cup Boundary extraction from Monocular fundus images
Background and Objective: Accurate segmentation of Optic disc and cup from monocular color fundus images plays a significant role in the screening and diagnosis of glaucoma. Though optic cup is characterized by the drop in depth from the disc boundary, most existing methods segment the two structures separately and rely only on color and vessel kink based cues due to the lack of explicit depth information in color fundus images.Methods: We propose a novel boundary-based Conditional Random Field formulation that extracts both the optic disc and cup boundaries in a single optimization step. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 22, 2017 Category: Bioinformatics Authors: Arunava Chakravarty, Jayanthi Sivaswamy Source Type: research

A hybrid algorithm for speckle noise reduction of ultrasound images
In today scenario, medical image modality like ultrasound imaging is one of the prominent diagnostic techniques to view the internal anatomy (such as abdomen, liver, kidney and musculoskeletal) of a human body. But, ultrasound (US) images are generally corrupted with speckle noise that appears as granular pattern due to constructive and destructive coherent interferences of backscattered echoes from the scatters [1 –2]. This phenomenon degrades the contrast resolution of US images which makes the extraction of significant information from the speckle corrupted US images as one of the complicated tasks. (Source: Computer ...
Source: Computer Methods and Programs in Biomedicine - June 22, 2017 Category: Bioinformatics Authors: Karamjeet Singh, Sukhjeet Kaur Ranade, Chandan Singh Source Type: research

Individualized Drug Dosing using RBF-Galerkin Method: Case of Anemia Management in Chronic Kidney Disease
Erythropoietin (EPO) is a glycoprotein hormone produced by kidney promoting the formation of red blood cells (RBCs) in bone marrow. Decreased EPO production in Chronic Kidney Disease (CKD) results in anemia, a condition which mainly affects the physical component of health-related quality of life (QoL), but is also associated with increased risk of cardiovascular events, and even mortality [1]. Discovery of exogenous recombinant human EPO in the late 1980s has revolutionized the treatment of CKD-related anemia [2 –5], which until that point was primarily treated by repeated blood transfusion– a procedure associated wit...
Source: Computer Methods and Programs in Biomedicine - June 22, 2017 Category: Bioinformatics Authors: Hossein Mirinejad, Adam E. Gaweda, Michael E. Brier, Jacek M. Zurada, Tamer Inanc Source Type: research

Exploring risk patterns for incident ischemic stroke during more than a decade of follow-up: A survival tree analysis
Stroke is a leading cause of mortality and morbidity worldwide [1]. Ischemic stroke (IS), with about 68% of cerebrovascular attacks, is the most common subtype in Iran, as it is in other countries [2]. In countries with low and middle income, the incidence of stroke has increased to more than two-fold in the last four decades [1] and in the region of Middle East and North Africa (MENA) the number of deaths due to stroke has been predicted to double by the year 2030 [3]. Primary prevention plays the main role in declining the burden of stroke, since about 80% of cases are first events [1]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 20, 2017 Category: Bioinformatics Authors: Donna Parizadeh, Azra Ramezankhani, Amir Abbas Momenan, Fereidoun Azizi, Farzad Hadaegh Source Type: research

Development and clinical application of a computer-aided real-time feedback system for detecting in-bed physical activities
Many frail inpatients have the concomitant problem of low mobility, which can result in the morbid phenomenon of being bedridden for long periods of time. This phenomenon occurs for approximately one-third of all inpatients [1], of whom approximately 23% –33% are seniors [2,3]. Whether for frail bedridden seniors or young inpatients, being bedridden for long periods of time can seriously impact the capacity for physical activities, and this impact becomes progressively exacerbated as the number of days in the hospital increases [4]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 14, 2017 Category: Bioinformatics Authors: Liang-Hsuan Lu, Shang-Lin Chiang, Shun-Hwa Wei, Chueh-Ho Lin, Wen-Hsu Sung Source Type: research

Classification of Cardiovascular Tissues Using LBP Based Descriptors and a Cascade SVM
Currently, the recognition of normal tissues and organs must be carried out by histology experts, and automatic systems that can recognise them do not exist. An automatic classification of the tissues in histological images of the cardiovascular system may be helpful for educational purposes  [1]. It may be deployed on an on-line learning platform where students could access it from different locations in order to analyse tissues and promote self-learning [2]. These kind of platforms require lower social and economic investment in obtaining well-trained professionals. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 9, 2017 Category: Bioinformatics Authors: Claudia Mazo, Enrique Alegre, Maria Trujillo Source Type: research