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Computational simulation of passive leg-raising effects on hemodynamics during cardiopulmonary resuscitation
The passive leg-raising (PLR) maneuver has been used to predict fluid responsiveness [1], which is a crucial step for managing critically ill patients in terms of providing either preemptive action or proper treatment [2, 3]. However, more recently, the PLR maneuver is receiving much attention for its potential effectiveness during cardiopulmonary resuscitation (CPR) [4, 5]. According to the Frank-Starling relationship, if the heart is preload dependent and is fluid responsive, an increase in cardiac preload by recruitment of blood into the central circulatory compartment due to leg raising can increase stroke volume, whic...
Source: Computer Methods and Programs in Biomedicine - December 21, 2016 Category: Bioinformatics Authors: Dong Ah Shin, Jiheum Park, Jung Chan Lee, Sang Do Shin, Hee Chan Kim Source Type: research

Automatic Spine Curvature Estimation from X-ray Images of a Mouse Model
The Mouse Genetics Project [24] was initiated to systematically knock-out mammalian genes and screen for a broad range of resulting traits. One element of the phenotyping pipeline is the thorough evaluation of the skeleton through systematic X-ray imaging of individual animals and manual observations of variation. Considering the number of images generated by the high-throughput screening process, an automated approach for annotating and triaging X-ray images will reduce processing time and costs on human resources, and eliminate possibilities of human error and inconsistency in manual measurement. (Source: Computer Method...
Source: Computer Methods and Programs in Biomedicine - December 21, 2016 Category: Bioinformatics Authors: Omar Al Okashi, Hongbo Du, Hisham Al-Assam Source Type: research

Automatic Segmentation of Supraspinatus from MRI by Internal Shape Fitting and Autocorrection
The rotator cuff in the human body [1] consists of several muscles: the supraspinatus, infraspinatus, teres minor, and subscapularis, which are important for sustaining the shoulder (Fig. 1). Physiological problems in the rotator cuff are caused by long-term use of computers, sport injuries, and degenerative diseases of the shoulder. As the number of people suffering from rotator cuff problems is increasing, efficient and deliberate diagnosis and/or surgery has become essential. Measuring the muscle volume of the rotator cuff is one of the important tasks in the prognosis of anatomical and functional evaluation of the shou...
Source: Computer Methods and Programs in Biomedicine - December 20, 2016 Category: Bioinformatics Authors: Sunhee Kim, Deukhee Lee, Sehyung Park, Kyung-Soo Oh, Seok Won Chung, Youngjun Kim Source Type: research

Reliability and validity of DS-ADHD: a decision support system on attention deficit hyperactivity disorders
When children are constantly easily distracted, impulsive, or present a lack of organizational skill, these behaviors may no longer be explained by laziness or unruliness. They may be suffering from Attention Deficit Hyperactivity Disorder (ADHD), which is a cognitive behavioral disorder condition commonly seen in adolescence and childhood, affecting about 4% of school-age children [1]. ADHD patients usually display certain symptoms, such as the inability to focus on regular routines, which affect their academic and social functioning, where they are unable to reach the general standard. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 15, 2016 Category: Bioinformatics Authors: Kuo-Chung Chu, Yu-Shu Huang, Chien-Fu Tseng, Hsin-Jou Huang, Chih-Huan Wang, Hsin-Yi Tai Source Type: research

Consumers ’ perceived attitudes to wearable devices in health monitoring in China: a survey study
Wearable devices are attracting increasing attention from all walks of life and are potentially becoming an important complement or even alternative to smart phones. The emergence of smart phones has largely changed people's way of life, enhanced work efficiency, and driven the vigorous development of the mobile Internet industry. Meanwhile, the wearable device market is gradually rising and has been attracting attention from large corporations such as Google, Apple, and Microsoft. Breakthrough products such as Google Glass, Apple Watch, and Microsoft HoloLens have been promoted successively, whereas wearable devices of va...
Source: Computer Methods and Programs in Biomedicine - December 14, 2016 Category: Bioinformatics Authors: Dong Wen, Xingting Zhang, Jianbo Lei Source Type: research

Interactive radiographic image retrieval system
• An interactive CBMIR system using two-stage classification.• Two new compact feature representations using PCNN and NSCT.• New “similarity positional score” to automatically identify the top “p” probable classes in the first stage.• Reducing the “semantic gap” problem using a n ew fuzzy based relevance feedback mechanism.• Large and diversified experimental findings on popular and large radiographic image database (IRMA-2009). (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 13, 2016 Category: Bioinformatics Authors: Malay Kumar Kundu, Manish Chowdhury, Sudeb Das Source Type: research

A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD
Lung cancer is one of the main public health issues in developed countries, and early detection of pulmonary nodules is an important clinical indication for early-stage lung cancer diagnosis [1]. Lung nodule refers to lung tissue abnormalities that are roughly spherical with round opacity and a diameter of up to 30 mm. Currently, nodules are mainly detected by one or multiple expert radiologists inspecting CT images of lungs. Recent research, however, shows that inter-reader variability in the detection of nodules by expert radiologists may exist. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 13, 2016 Category: Bioinformatics Authors: Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar Zaiane Source Type: research

Semi-Automated Detection of Anterior Cruciate Ligament Injury from MRI
Anterior cruciate ligament (ACL) is the most commonly injured ligament in a human body, for which surgery is frequently performed [1]. Although this type of knee injury is typical for athletes, it can happen to anyone. Presence of an ACL injury is usually determined by performing a magnetic resonance (MR) scan of a knee joint and then visually inspecting the scan. This analysis is usually performed by a radiologist who determines the level of injury, i.e. whether the rupture is complete, partial (or strained) or the ACL is not injured at all  [2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 13, 2016 Category: Bioinformatics Authors: Ivan Štajduhar, Mihaela Mamula, Damir Miletić, Gözde Ünal Source Type: research

Recognition of Emotions Using Multimodal Physiological Signals and an Ensemble Deep Learning Model
Since collaborations between human and machines (or computers) exist in various working or living environments, researchers in the area of ergonomics and intelligent systems attempt to improve efficiency and flexibility of human-computer interaction (HCI) with high satisfaction levels of human agent [1]. Such intelligent HCI systems require the capability of self-adaptation of computers [2], in which the accurate comprehension of human communications is necessary for machine agent to trigger proper feedback [3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 13, 2016 Category: Bioinformatics Authors: Zhong Yin, Mengyuan Zhao, Yongxiong Wang, Jingdong Yang, Jianhua Zhang Source Type: research

A Comparative Review on Sleep Stage Classification Methods in Patients and healthy Individuals
Sleep covers almost one third of human lifespan. Due to the direct relationship among sleep quality and humans ’ physical and mental performance, sufficient night sleep is crucial. As a result of machinery and stressful life, sleep disturbance is increasing in modern societies. In addition, research findings suggest that several psychological and neurological disorders can deteriorate normal sleep patterns [1]. According to the international classification of sleep disorders (ICSD-II) criteria [2], eighty four different sleep disorders are defined. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 8, 2016 Category: Bioinformatics Authors: Reza Boostani, Foroozan Karimzadeh, Mohammad Torabi-Nami Source Type: research

Phxnlme: An R package that facilitates pharmacometric workflow of Phoenix NLME analyses
Pharmacometrics is a scientific discipline that integrates pharmacokinetics, pharmacodynamics, pharmacology, physiology, knowledge about diseases, and statistics to quantify interactions between drugs and patients using mathematical models [1 –3]. In recent decades, pharmacometric approaches, such as pharmacokinetic-pharmacodynamic modeling and simulation, are increasingly being applied in the drug development process. The value of these techniques in supporting rational decisions regarding drug use and development is emphasized and ad vocated by the pharmaceutical industry, academia and regulatory agencies [4,1,5–7]. ...
Source: Computer Methods and Programs in Biomedicine - December 6, 2016 Category: Bioinformatics Authors: Chay Ngee Lim, Shuang Liang, Kevin Feng, Jason Chittenden, Ana Henry, Samer Mouksassi, Angela K. Birnbaum Source Type: research

Extending GelJ for Interoperability: Filling the Gap in the Bioinformatics Resources for Population Genetics Analysis with Dominant Markers
Background and Objective. The manual transformation of DNA fingerprints of dominant markers into the input of tools for population genetics analysis is a time-consuming and error-prone task; especially when the researcher deals with a large number of samples. In addition, when the researcher needs to use several tools for population genetics analysis, the situation worsens due to the incompatibility of data-formats across tools. The goal of this work consists in automating, from banding patterns of gel images, the input-generation for the great diversity of tools devoted to population genetics analysis. (Source: Computer M...
Source: Computer Methods and Programs in Biomedicine - December 5, 2016 Category: Bioinformatics Authors: C ésar Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual, Maria Soledad Vázquez-Garcidueñas, Gerardo Vázquez-Marrufo Source Type: research

Computer tool to evaluate the cue reactivity of chemically dependent individuals
Chemical dependence is characterized by a set of psychophysiological phenomena that develop with the repeated use of a psychoactive substance. The main symptoms are compulsion and loss of control. According to the World Health Organization (WHO), chemical dependence is a progressive and fatal disease, though it is treatable. However, treatment is a slow and painful process that is full of obstacles. Several researchers [1] have shown that no specific effective treatment exists for cocaine dependence but several medications marketed for other indications have shown efficacy in clinical trials. (Source: Computer Methods and ...
Source: Computer Methods and Programs in Biomedicine - December 4, 2016 Category: Bioinformatics Authors: Meire Luci da Silva, Annie France Fr ère, Henrique Jesus Quintino de Oliveira, Helio Martucci Neto, Terigi Augusto Scardovelli Source Type: research

Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and spherical harmonics
• Accurate detection of maxillofacial cysts is an essential step for diagnosis, monitoring and surgery planning.• Cystic lesion is segmented using symmetry analysis and active contours.• A combination of texture and shape features is utilized for classification.• A method based on orthogonal ization is proposed to improve the accuracy of Spherical Harmonics. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - November 29, 2016 Category: Bioinformatics Authors: Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato Source Type: research

A Methodology for Automated CPA Extraction using Liver Biopsy Image Analysis and Machine Learning Techniques
Hepatitis C is one of the most common liver diseases worldwide, with 2%-3% of the world's population living with HCV infection [1]. Patients with chronic hepatitis C and elevated transaminases, which are candidates for treatment, often undergo liver biopsy for determination of hepatic fibrosis, i.e. determination of the collagen, which is the major component of fibrotic tissue. For assessing disease staging and provide diagnosis needle biopsy specimens are cut and stained using several dyes that bind selectively to liver collagen, making the quantification of the fibrosis suitable [2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - November 27, 2016 Category: Bioinformatics Authors: Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Ioannis Tsoulos, Epameinondas Tsianos Source Type: research