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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/28802333/solving-the-adoption-bottleneck-to-streamline-application-of-medical-informatics
#1
EDITORIAL
Ming-Chin Lin, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802332/new-algorithms-for-processing-time-series-big-eeg-data-within-mobile-health-monitoring-systems
#2
Mohamed Adel Serhani, Mohamed El Menshawy, Abdelghani Benharref, Saad Harous, Alramzana Nujum Navaz
BACKGROUND AND OBJECTIVES: Recent advances in miniature biomedical sensors, mobile smartphones, wireless communications, and distributed computing technologies provide promising techniques for developing mobile health systems. Such systems are capable of monitoring epileptic seizures reliably, which are classified as chronic diseases. Three challenging issues raised in this context with regard to the transformation, compression, storage, and visualization of big data, which results from a continuous recording of epileptic seizures using mobile devices...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802331/preliminary-physician-and-pharmacist-survey-of-the-national-health-insurance-pharmacloud-system-in-taiwan
#3
Yu-Ting Tseng, Elizabeth H Chang, Li-Na Kuo, Wan-Chen Shen, Kuan-Jen Bai, Chih-Chi Wang, Hsiang-Yin Chen
BACKGROUND: The PharmaCloud system, a cloud-based medication system, was launched by the Taiwan National Health Insurance Administration (NHIA) in 2013 to integrate patients' medication lists among different medical institutions. The aim of the preliminary study was to evaluate satisfaction with this system among physicians and pharmacists at the early stage of system implementation. METHODS: A questionnaire was developed through a review of the literature and discussion in 6 focus groups to understand the level of satisfaction, attitudes, and intentions of physicians and pharmacists using the PharmaCloud system...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802330/fast-detection-of-the-main-anatomical-structures-in-digital-retinal-images-based-on-intra-and-inter-structure-relational-knowledge
#4
José M Molina-Casado, Enrique J Carmona, Julián García-Feijoó
BACKGROUND AND OBJECTIVE: The anatomical structure detection in retinal images is an open problem. However, most of the works in the related literature are oriented to the detection of each structure individually or assume the previous detection of a structure which is used as a reference. The objective of this paper is to obtain simultaneous detection of the main retinal structures (optic disc, macula, network of vessels and vascular bundle) in a fast and robust way. METHODS: We propose a new methodology oriented to accomplish the mentioned objective...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802329/skin-lesion-computational-diagnosis-of-dermoscopic-images-ensemble-models-based-on-input-feature-manipulation
#5
Roberta B Oliveira, Aledir S Pereira, João Manuel R S Tavares
BACKGROUND AND OBJECTIVES: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist dermatologists in early diagnosis of skin cancer, or even to monitor skin lesions. However, there still remains a challenge to improve classifiers for the diagnosis of such skin lesions. The main objective of this article is to evaluate different ensemble classification models based on input feature manipulation to diagnose skin lesions...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802328/hybrid-pet-mri-co-segmentation-based-on-joint-fuzzy-connectedness-and-graph-cut
#6
Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi, Philippe Maksud, Chokri Maktouf
BACKGROUND AND OBJECTIVE: Tumor segmentation from hybrid PET/MRI scans may be highly beneficial in radiotherapy treatment planning. Indeed, it gives for both modalities the suitable information that could make the delineation of tumors more accurate than using each one apart. We aim in this work to propose a co-segmentation method that deals with several challenges, notably the lack of one-to-one correspondence between tumors of the two modalities and the boundaries' smoothing. METHODS: The proposed method is designed to surpass these limits, we propose a segmentation method based on the GCsum(max) technique...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802327/three-dimensional-motion-capture-applied-to-violin-playing-a-study-on-feasibility-and-characterization-of-the-motor-strategy
#7
Andrea Ancillao, Bernardo Savastano, Manuela Galli, Giorgio Albertini
BACKGROUND AND OBJECTIVE: Playing string instruments requires advanced motor skills and a long training that is often spent in uncomfortable postures that may lead to injuries or musculoskeletal disorders. Thus, it is interesting to objectively characterize the motor strategy adopted by the players. In this work, we implemented a method for the quantitative analysis of the motor performance of a violin player. METHODS: The proposed protocol takes advantage of an optoelectronic system and some infra-red reflecting markers in order to track player's motion...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802326/a-biological-inspired-fuzzy-adaptive-window-median-filter-fawmf-for-enhancing-dna-signal-processing
#8
Muneer Ahmad, Low Tan Jung, Al-Amin Bhuiyan
BACKGROUND AND OBJECTIVE: Digital signal processing techniques commonly employ fixed length window filters to process the signal contents. DNA signals differ in characteristics from common digital signals since they carry nucleotides as contents. The nucleotides own genetic code context and fuzzy behaviors due to their special structure and order in DNA strand. Employing conventional fixed length window filters for DNA signal processing produce spectral leakage and hence results in signal noise...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802325/snomed2hl7-a-tool-to-normalize-and-bind-snomed-ct-concepts-to-the-hl7-reference-information-model
#9
D Perez-Rey, R Alonso-Calvo, S Paraiso-Medina, C R Munteanu, M Garcia-Remesal
BACKGROUND: Current clinical research and practice requires interoperability among systems in a complex and highly dynamic domain. There has been a significant effort in recent years to develop integrative common data models and domain terminologies. Such efforts have not completely solved the challenges associated with clinical data that are distributed among different and heterogeneous institutions with different systems to encode the information. Currently, when providing homogeneous interfaces to exploit clinical data, certain transformations still involve manual and time-consuming processes that could be automated...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774444/the-integration-of-image-processing-and-machine-learning-for-the-diagnosis-of-stroke-in-ct
#10
EDITORIAL
Chung-Ming Lo, Shabbir Syed-Abdul, Yu-Chuan Jack Li
No abstract text is available yet for this article.
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774443/enhanced-particle-filtering-framework-for-vessel-segmentation-and-tracking
#11
Sang-Hoon Lee, Jiwoo Kang, Sanghoon Lee
BACKGROUND AND OBJECTIVES: A robust vessel segmentation and tracking method based on a particle-filtering framework is proposed to cope with increasing demand for a method that can detect and track vessel anomalies. METHODS: We apply the level set method to segment the vessel boundary and a particle filter to track the position and shape variations in the vessel boundary between two adjacent slices. To enhance the segmentation and tracking performances, the importance density of the particle filter is localized by estimating the translation of an object's boundary...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774442/computational-modeling-for-prediction-of-the-shear-stress-of-three-dimensional-isotropic-and-aligned-fiber-networks
#12
Seungman Park
BACKGROUND AND OBJECTIVE: Interstitial flow (IF) is a creeping flow through the interstitial space of the extracellular matrix (ECM). IF plays a key role in diverse biological functions, such as tissue homeostasis, cell function and behavior. Currently, most studies that have characterized IF have focused on the permeability of ECM or shear stress distribution on the cells, but less is known about the prediction of shear stress on the individual fibers or fiber networks despite its significance in the alignment of matrix fibers and cells observed in fibrotic or wound tissues...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774441/a-real-time-stress-classification-system-based-on-arousal-analysis-of-the-nervous-system-by-an-f-state-machine
#13
R Martinez, E Irigoyen, A Arruti, J I Martin, J Muguerza
BACKGROUND AND OBJECTIVE: Detection and labelling of an increment in the human stress level is a contribution focused principally on improving the quality of life of people. This work is aimed to develop a biophysical real-time stress identification and classification system, analysing two noninvasive signals, the galvanic skin response and the heart rate variability. METHODS: An experimental procedure was designed and configured in order to elicit a stressful situation that is similar to those found in real cases...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774440/heart-rate-variability-metrics-for-fine-grained-stress-level-assessment
#14
Tânia Pereira, Pedro R Almeida, João P S Cunha, Ana Aguiar
BACKGROUND AND OBJECTIVES: In spite of the existence of a multitude of techniques that allow the estimation of stress from physiological indexes, its fine-grained assessment is still a challenge for biomedical engineering. The short-term assessment of stress condition overcomes the limits to stress characterization with long blocks of time and allows to evaluate the behaviour change in real-world settings and also the stress level dynamics. The aim of the present study was to evaluate time and frequency domain and nonlinear heart rate variability (HRV) metrics for stress level assessment using a short-time window...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774439/a-hybrid-algorithm-for-speckle-noise-reduction-of-ultrasound-images
#15
Karamjeet Singh, Sukhjeet Kaur Ranade, Chandan Singh
BACKGROUND AND OBJECTIVE: Medical images are contaminated by multiplicative speckle noise which significantly reduce the contrast of ultrasound images and creates a negative effect on various image interpretation tasks. In this paper, we proposed a hybrid denoising approach which collaborate the both local and nonlocal information in an efficient manner. The proposed hybrid algorithm consist of three stages in which at first stage the use of local statistics in the form of guided filter is used to reduce the effect of speckle noise initially...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774438/individualized-drug-dosing-using-rbf-galerkin-method-case-of-anemia-management-in-chronic-kidney-disease
#16
Hossein Mirinejad, Adam E Gaweda, Michael E Brier, Jacek M Zurada, Tamer Inanc
BACKGROUND AND OBJECTIVE: Anemia is a common comorbidity in patients with chronic kidney disease (CKD) and is frequently associated with decreased physical component of quality of life, as well as adverse cardiovascular events. Current treatment methods for renal anemia are mostly population-based approaches treating individual patients with a one-size-fits-all model. However, FDA recommendations stipulate individualized anemia treatment with precise control of the hemoglobin concentration and minimal drug utilization...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774437/new-approach-to-detect-and-classify-stroke-in-skull-ct-images-via-analysis-of-brain-tissue-densities
#17
Pedro P Rebouças Filho, Róger Moura Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima
BACKGROUND AND OBJECTIVE: Cerebral vascular accident (CVA), also known as stroke, is an important health problem worldwide and it affects 16 million people worldwide every year. About 30% of those that have a stroke die and 40% remain with serious physical limitations. However, recovery in the damaged region is possible if treatment is performed immediately. In the case of a stroke, Computed Tomography (CT) is the most appropriate technique to confirm the occurrence and to investigate its extent and severity...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774436/scgicar-spatial-concatenation-based-group-ica-with-reference-for-fmri-data-analysis
#18
Yuhu Shi, Weiming Zeng, Nizhuan Wang
BACKGROUND AND OBJECTIVE: With the rapid development of big data, the functional magnetic resonance imaging (fMRI) data analysis of multi-subject is becoming more and more important. As a kind of blind source separation technique, group independent component analysis (GICA) has been widely applied for the multi-subject fMRI data analysis. However, spatial concatenated GICA is rarely used compared with temporal concatenated GICA due to its disadvantages. METHODS: In this paper, in order to overcome these issues and to consider that the ability of GICA for fMRI data analysis can be improved by adding a priori information, we propose a novel spatial concatenation based GICA with reference (SCGICAR) method to take advantage of the priori information extracted from the group subjects, and then the multi-objective optimization strategy is used to implement this method...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774435/improving-dense-conditional-random-field-for-retinal-vessel-segmentation-by-discriminative-feature-learning-and-thin-vessel-enhancement
#19
Lei Zhou, Qi Yu, Xun Xu, Yun Gu, Jie Yang
BACKGROUND AND OBJECTIVES: As retinal vessels in color fundus images are thin and elongated structures, standard pairwise based random fields, which always suffer the "shrinking bias" problem, are not competent for such segmentation task. Recently, a dense conditional random field (CRF) model has been successfully used in retinal vessel segmentation. Its corresponding energy function is formulated as a linear combination of several unary features and a pairwise term. However, the hand-crafted unary features can be suboptimal in terms of linear models...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774434/automatic-measurement-of-the-sinus-of-valsalva-by-image-analysis
#20
Fabrice Mairesse, Cédric Blanchard, Arnaud Boucher, Tadeusz Sliwa, Alain Lalande, Yvon Voisin
BACKGROUND AND OBJECTIVES: Despite the importance of the morphology of the sinus of Valsalva in the behavior of heart valves and the proper irrigation of coronary arteries, the study of these sinuses from medical imaging is still limited to manual radii measurements. This paper aims to present an automatic method to measure the sinuses of Valsalva on medical images, more specifically on cine MRI and Xray CT. METHODS: This paper introduces an enhanced method to automatically localize and extract each sinus of Valsalva edge and its relevant points...
September 2017: Computer Methods and Programs in Biomedicine
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