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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/27720236/evaluation-of-foot-position-and-orientation-as-manipulated-variables-to-control-external-knee-adduction-moments-in-leg-extension-training
#1
Melanie Kolditz, Thivaharan Albin, Dirk Abel, Alessandro Fasse, Gert-Peter Brüggemann, Kirsten Albracht
BACKGROUND AND OBJECTIVE: Effective leg extension training at a leg press requires high forces, which need to be controlled to avoid training-induced damage. In order to avoid high external knee adduction moments, which are one reason for unphysiological loadings on knee joint structures, both training movements and the whole reaction force vector need to be observed. In this study, the applicability of lateral and medial changes in foot orientation and position as possible manipulated variables to control external knee adduction moments is investigated...
September 27, 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27697371/evaluation-of-model-based-methods-in-estimating-respiratory-mechanics-in-the-presence-of-variable-patient-effort
#2
Daniel P Redmond, Yeong Shiong Chiew, Vincent Major, J Geoffrey Chase
Monitoring of respiratory mechanics is required for guiding patient-specific mechanical ventilation settings in critical care. Many models of respiratory mechanics perform poorly in the presence of variable patient effort. Typical modelling approaches either attempt to mitigate the effect of the patient effort on the airway pressure waveforms, or attempt to capture the size and shape of the patient effort. This work analyses a range of methods to identify respiratory mechanics in volume controlled ventilation modes when there is patient effort...
September 23, 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27647647/positive-state-observer-for-the-automatic-control-of-the-depth-of-anesthesia-clinical-results
#3
Filipa N Nogueira, T Mendonça, P Rocha
The depth of anesthesia (DoA) is a crucial feature in general anesthesia. Nowadays the DoA is usually evaluated by the bispectral index (BIS). According to the surgical procedure, different reference levels for the BIS may be clinically required. This can be achieved by the simultaneous administration of an analgesic (e.g. remifentanil) and an hypnotic (eg propofol). As a contribution to the effort of automating the processes of drug delivery in general anesthesia, in this paper, a positive state observer is designed for the implementation of a control scheme proposed for the automatic administration of propofol and of remifentanil, in order to track a desired level for the BIS...
September 13, 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886720/editorial
#4
EDITORIAL
(no author information available yet)
No abstract text is available yet for this article.
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886719/a-dual-stage-adaptive-thresholding-dusat-for-automatic-mass-detection-in-mammograms
#5
J Anitha, J Dinesh Peter, S Immanuel Alex Pandian
BACKGROUND AND OBJECTIVE: Early detection and diagnosis of breast cancer through mammography screening reduces breast cancer mortality by around 20%. However it is often a complex process to differentiate abnormalities due to the ill-defined margins and subtle appearances. METHOD: This paper investigates a new computer aided approach to detect the abnormalities in the digital mammograms using a Dual Stage Adaptive Thresholding (DuSAT). The suspicious mass region is identified using global histogram and local window thresholding method...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886718/detecting-retinal-microaneurysms-and-hemorrhages-with-robustness-to-the-presence-of-blood-vessels
#6
Ruchir Srivastava, Lixin Duan, Damon W K Wong, Jiang Liu, Tien Yin Wong
BACKGROUND AND OBJECTIVES: Diabetic Retinopathy is the leading cause of blindness in developed countries in the age group 20-74 years. It is characterized by lesions on the retina and this paper focuses on detecting two of these lesions, Microaneurysms and Hemorrhages, which are also known as red lesions. This paper attempts to deal with two problems in detecting red lesions from retinal fundus images: (1) false detections on blood vessels; and (2) different size of red lesions. METHODS: To deal with false detections on blood vessels, novel filters have been proposed which can distinguish between red lesions and blood vessels...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886717/rubioseq-a-multiplatform-application-that-executes-parallelized-pipelines-to-analyse-next-generation-sequencing-data
#7
Miriam Rubio-Camarillo, Hugo López-Fernández, Gonzalo Gómez-López, Ángel Carro, José María Fernández, Coral Fustero Torre, Florentino Fdez-Riverola, Daniel Glez-Peña
BACKGROUND AND OBJECTIVE: To facilitate routine analysis and to improve the reproducibility of the results, next-generation sequencing (NGS) analysis requires intuitive, efficient and integrated data processing pipelines. METHODS: We have selected well-established software to construct a suite of automated and parallelized workflows to analyse NGS data for DNA-seq (single-nucleotide variants (SNVs) and indels), CNA-seq, bisulfite-seq and ChIP-seq experiments. RESULTS: Here, we present RUbioSeq+, an updated and extended version of RUbioSeq, a multiplatform application that incorporates a suite of automated and parallelized workflows to analyse NGS data...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886716/simulating-the-dynamics-of-lipid-droplets-in-adipocyte-differentiation
#8
Federico Boschi, Vanni Rizzatti, Mauro Zamboni, Andrea Sbarbati
BACKGROUND: Lipid droplets are cellular organelles that regulate the storage and hydrolysis of neutral lipids. The dynamic of lipid droplets (LDs), during the differentiation process from fibroblast-like cells into adipocyte, is strictly related to the lipid storage in cells. The number and size of the LDs depends on the lipidic or lipolytic stimulations to which the cells are exposed. METHOD: Here, we propose a computational approach to study the processes regulating the LDs' number and growth/reduction in size using Monte Carlo simulations...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886715/a-software-program-to-measure-the-three-dimensional-length-of-the-spine-from-radiographic-images-validation-and-reliability-assessment-for-adolescent-idiopathic-scoliosis
#9
Steve Berger, Carol-Claudius Hasler, Caroline A Grant, Guoyan Zheng, Steffen Schumann, Philippe Büchler
BACKGROUND AND OBJECTIVE: The aim of this study was to validate a new program which aims at measuring the three-dimensional length of the spine's midline based on two calibrated orthogonal radiographic images. The traditional uniplanar T1-S1 measurement method is not reflecting the actual three dimensional curvature of a scoliotic spine and is therefore not accurate. The Spinal Measurement Software (SMS) is an alternative to conveniently measure the true spine's length. METHODS: The validity, inter- and intra-observer variability and usability of the program were evaluated...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886714/classification-of-ct-brain-images-based-on-deep-learning-networks
#10
Xiaohong W Gao, Rui Hui, Zengmin Tian
While computerised tomography (CT) may have been the first imaging tool to study human brain, it has not yet been implemented into clinical decision making process for diagnosis of Alzheimer's disease (AD). On the other hand, with the nature of being prevalent, inexpensive and non-invasive, CT does present diagnostic features of AD to a great extent. This study explores the significance and impact on the application of the burgeoning deep learning techniques to the task of classification of CT brain images, in particular utilising convolutional neural network (CNN), aiming at providing supplementary information for the early diagnosis of Alzheimer's disease...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886713/automated-classification-of-pap-smear-images-to-detect-cervical-dysplasia
#11
Kangkana Bora, Manish Chowdhury, Lipi B Mahanta, Malay Kumar Kundu, Anup Kumar Das
BACKGROUND AND OBJECTIVES: The present study proposes an intelligent system for automatic categorization of Pap smear images to detect cervical dysplasia, which has been an open problem ongoing for last five decades. METHODS: The classification technique is based on shape, texture and color features. It classifies the cervical dysplasia into two-level (normal and abnormal) and three-level (Negative for Intraepithelial Lesion or Malignancy, Low-grade Squamous Intraepithelial Lesion and High-grade Squamous Intraepithelial Lesion) classes reflecting the established Bethesda system of classification used for diagnosis of cancerous or precancerous lesion of cervix...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886712/a-sas-macro-for-the-joint-modeling-of-longitudinal-outcomes-and-multiple-competing-risk-dropouts
#12
Wei Wang, Wanmei Wang, Thomas H Mosley, Michael E Griswold
BACKGROUND AND OBJECTIVES: The joint modeling of longitudinal and survival data to assess effects of multiple informative dropout mechanisms on longitudinal outcomes inference has received considerable attention during recent years; related statistical programs to apply these methods have been lacking. This paper provides a SAS macro implementation of a shared parameter model to accommodate the analysis of longitudinal outcomes in the presence of multiple competing survival/dropout events...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886711/eeg-epochs-with-less-alpha-rhythm-improve-discrimination-of-mild-alzheimer-s
#13
Paulo A M Kanda, Eliezyer F Oliveira, Francisco J Fraga
BACKGROUND AND OBJECTIVE: Eyes-closed-awake electroencephalogram (EEG) is a useful tool in the diagnosis of Alzheimer's. However, there is eyes-closed-awake EEG with dominant or rare alpha rhythm. In this paper, we show that random selection of EEG epochs disregarding the alpha rhythm will lead to bias concerning EEG-based Alzheimer's Disease diagnosis. METHODS: We compared EEG epochs with more than 30% and with less than 30% alpha rhythm of mild Alzheimer's Disease patients and healthy elderly...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886710/automated-diagnosis-of-coronary-artery-disease-cad-patients-using-optimized-svm
#14
Azam Davari Dolatabadi, Siamak Esmael Zadeh Khadem, Babak Mohammadzadeh Asl
BACKGROUND AND OBJECTIVE: Currently Coronary Artery Disease (CAD) is one of the most prevalent diseases, and also can lead to death, disability and economic loss in patients who suffer from cardiovascular disease. Diagnostic procedures of this disease by medical teams are typically invasive, although they do not satisfy the required accuracy. METHODS: In this study, we have proposed a methodology for the automatic diagnosis of normal and Coronary Artery Disease conditions using Heart Rate Variability (HRV) signal extracted from electrocardiogram (ECG)...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886709/a-computer-tool-for-a-minimax-criterion-in-binary-response-and-heteroscedastic-simple-linear-regression-models
#15
V Casero-Alonso, J López-Fidalgo, B Torsney
BACKGROUND AND OBJECTIVE: Binary response models are used in many real applications. For these models the Fisher information matrix (FIM) is proportional to the FIM of a weighted simple linear regression model. The same is also true when the weight function has a finite integral. Thus, optimal designs for one binary model are also optimal for the corresponding weighted linear regression model. The main objective of this paper is to provide a tool for the construction of MV-optimal designs, minimizing the maximum of the variances of the estimates, for a general design space...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886708/individual-tooth-segmentation-from-ct-images-scanned-with-contacts-of-maxillary-and-mandible-teeth
#16
Zeyang Xia, Yangzhou Gan, Lichao Chang, Jing Xiong, Qunfei Zhao
BACKGROUND AND OBJECTIVE: Tooth segmentation from computed tomography (CT) images is a fundamental step in generating the three-dimensional models of tooth for computer-aided orthodontic treatment. Individual tooth segmentation from CT images scanned with contacts of maxillary and mandible teeth is especially challenging, and no method has been reported previously. This study aimed to develop a method for individual tooth segmentation from these images. METHODS: Tooth contours of maxilla and mandible are first segmented from the volumetric CT images slice-by-slice...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27686715/editorial
#17
EDITORIAL
(no author information available yet)
No abstract text is available yet for this article.
November 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27686714/the-reliability-and-validity-of-a-clinical-3d-freehand-ultrasound-system
#18
Francesco Cenni, Davide Monari, Kaat Desloovere, Erwin Aertbeliën, Simon-Henri Schless, Herman Bruyninckx
BACKGROUND AND OBJECTIVE: Acquiring large anatomical volumes in a feasible manner is useful for clinical decision-making. A relatively new technique called 3D freehand ultrasonography is capable of this by combining a conventional 2D ultrasonography system. Currently, a thorough analysis of this technique is lacking, as the analyses are dependent on the software implementation details and the choice of measurement systems. Therefore this study starts by making this implementation available under the form of an open-source software library to perform 3D freehand ultrasonography...
November 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27686713/cardiac-arrhythmia-beat-classification-using-dost-and-pso-tuned-svm
#19
Sandeep Raj, Kailash Chandra Ray, Om Shankar
BACKGROUND AND OBJECTIVE: The increase in the number of deaths due to cardiovascular diseases (CVDs) has gained significant attention from the study of electrocardiogram (ECG) signals. These ECG signals are studied by the experienced cardiologist for accurate and proper diagnosis, but it becomes difficult and time-consuming for long-term recordings. Various signal processing techniques are studied to analyze the ECG signal, but they bear limitations due to the non-stationary behavior of ECG signals...
November 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27686712/eeg-based-mild-depressive-detection-using-feature-selection-methods-and-classifiers
#20
Xiaowei Li, Bin Hu, Shuting Sun, Hanshu Cai
BACKGROUND AND OBJECTIVE: Depression has become a major health burden worldwide, and effectively detection of such disorder is a great challenge which requires latest technological tool, such as Electroencephalography (EEG). This EEG-based research seeks to find prominent frequency band and brain regions that are most related to mild depression, as well as an optimal combination of classification algorithms and feature selection methods which can be used in future mild depression detection...
November 2016: Computer Methods and Programs in Biomedicine
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