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Computers in Biology and Medicine

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https://www.readbyqxmd.com/read/28219032/analysis-of-the-semg-force-relationship-using-hd-semg-technique-and-data-fusion-a-simulation-study
#1
Mariam Al Harrach, Vincent Carriou, Sofiane Boudaoud, Jeremy Laforet, Frederic Marin
The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts. In this study, we present a global investigation of the factors governing the shape of this relationship. Accordingly, we conducted a focused sensitivity analysis of the sEMG/force relationship form with respect to neural, functional and physiological parameters variation...
February 16, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28214717/an-interactive-medical-image-segmentation-framework-using-iterative-refinement
#2
Pratik Kalshetti, Manas Bundele, Parag Rahangdale, Dinesh Jangra, Chiranjoy Chattopadhyay, Gaurav Harit, Abhay Elhence
Segmentation is often performed on medical images for identifying diseases in clinical evaluation. Hence it has become one of the major research areas. Conventional image segmentation techniques are unable to provide satisfactory segmentation results for medical images as they contain irregularities. They need to be pre-processed before segmentation. In order to obtain the most suitable method for medical image segmentation, we propose MIST (Medical Image Segmentation Tool), a two stage algorithm. The first stage automatically generates a binary marker image of the region of interest using mathematical morphology...
February 13, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28231511/automated-diagnosis-of-congestive-heart-failure-using-dual-tree-complex-wavelet-transform-and-statistical-features-extracted-from-2s-of-ecg-signals
#3
Vidya K Sudarshan, U Rajendra Acharya, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua, Kok Poo Chua, Ru San Tan
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis process and aid in the proper management of CHF patients. Therefore, in this work, dual tree complex wavelets transform (DTCWT)-based methodology is proposed for an automated identification of ECG signals exhibiting CHF from normal. In the experiment, we have performed a DTCWT on ECG segments of 2s duration up to six levels to obtain the coefficients...
February 7, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28187367/ontology-based-automatic-identification-of-public-health-related-turkish-tweets
#4
Emine Ela Küçük, Kürşad Yapar, Dilek Küçük, Doğan Küçük
Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish tweets. The system is based on a public health ontology that we have constructed through a semi-automated procedure. The ontology concepts are expanded through a linguistically motivated relaxation scheme as the last stage of ontology development, before being integrated into our system to increase its coverage...
February 4, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28167407/efficient-blood-flow-visualization-using-flowline-extraction-and-opacity-modulation-based-on-vascular-structure-analysis
#5
Ohjae Kwon, Jeongjin Lee, Bohyoung Kim, Juneseuk Shin, Yeong-Gil Shin
With the recent advances regarding the acquisition and simulation of blood flow data, blood flow visualization has been widely used in medical imaging for the diagnosis and treatment of pathological vessels. In this paper, we present a novel method for the visualization of the blood flow in vascular structures. The vessel inlet or outlet is first identified using the orthogonality metric between the normal vectors of the flow velocity and vessel surface. Then, seed points are generated on the identified inlet or outlet by Poisson disk sampling...
January 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28187294/comprehensible-knowledge-model-creation-for-cancer-treatment-decision-making
#6
Muhammad Afzal, Maqbool Hussain, Wajahat Ali Khan, Taqdir Ali, Sungyoung Lee, Eui-Nam Huh, Hafiz Farooq Ahmad, Arif Jamshed, Hassan Iqbal, Muhammad Irfan, Manzar Abbas Hydari
BACKGROUND: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. MATERIALS AND METHODS: An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed...
January 29, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28183004/an-integrative-framework-for-3d-cobb-angle-measurement-on-ct-images
#7
Xing Huo, Jie Qing Tan, Jun Qian, Li Cheng, Jue Hua Jing, Kun Shao, Bing Nan Li
OBJECTIVE: Measuring the Cobb angle on computed tomography (CT) images remains a challenging but requisite task for clinical diagnoses of scoliosis. Traditionally, clinical practitioners resort to manual demarcation, but this approach is inefficient and subjective. Most of the existing computerized algorithms are two-dimensional (2D) and incapable of multi-angle calibration. METHODS: A novel integrative framework based on curvature features and geometric constraints is proposed to measure three-dimensional (3D)Cobb angles on CT images...
January 29, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28188985/3d-ssf-a-bio-inspired-approach-for-dynamic-multi-subject-clustering-of-white-matter-tracts
#8
REVIEW
A Chekir, S Hassas, M Descoteaux, M Côté, E Garyfallidis, F Oulebsir-Boumghar
There is growing interest in the study of white matter (WM) variation across subjects, and in particular the analysis of specific WM bundles, to better understand brain development and aging, as well as to improve early detection of some diseases. Several WM multi-subject clustering methods have been proposed to study WM bundles. These methods aim to overcome the complexity of the problem, which includes the huge size of the WM tractography datasets generated from multiple subjects, the existence of various streamlines with different positions, lengths and geometric forms, as well as the presence of outliers...
January 27, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28167406/comparing-humans-and-deep-learning-performance-for-grading-amd-a-study-in-using-universal-deep-features-and-transfer-learning-for-automated-amd-analysis
#9
Philippe Burlina, Katia D Pacheco, Neil Joshi, David E Freund, Neil M Bressler
BACKGROUND: When left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is often asymptomatic with regard to visual deficit. These individuals are at high risk for progressing to the advanced stage where the often treatable choroidal neovascular form of AMD can occur. Careful monitoring to detect the onset and prompt treatment of the neovascular form as well as dietary supplementation can reduce the risk of vision loss from AMD, therefore, preferred practice patterns recommend identifying individuals with the intermediate stage in a timely manner...
January 27, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28161594/mixed-convection-peristaltic-flow-of-eyring-powell-nanofluid-in-a-curved-channel-with-compliant-walls
#10
Anum Tanveer, T Hayat, Fuad Alsaadi, A Alsaedi
The novel features of nanofluids made them potentially significant in heat transfer mechanism occurring in medical and industrial processes like microelectronics, pharmaceutical processes, hybrid engines, thermal management of vehicles, refrigerator, chiller, gas temperature reduction and so forth. These processes bear tendency to enhance thermal conductivity and the convective heat transfer more efficiently than base fluid. This unique aspect made nanofluids the topic of interest in recent time via different fluid flow models...
January 27, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28167405/exploring-temporal-information-in-neonatal-seizures-using-a-dynamic-time-warping-based-svm-kernel
#11
Rehan Ahmed, Andriy Temko, William P Marnane, Geraldine Boylan, Gordon Lightbody
Seizure events in newborns change in frequency, morphology, and propagation. This contextual information is explored at the classifier level in the proposed patient-independent neonatal seizure detection system. The system is based on the combination of a static and a sequential SVM classifier. A Gaussian dynamic time warping based kernel is used in the sequential classifier. The system is validated on a large dataset of EEG recordings from 17 neonates. The obtained results show an increase in the detection rate at very low false detections per hour, particularly achieving a 12% improvement in the detection of short seizure events over the static RBF kernel based system...
January 26, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28161592/automated-seizure-detection-using-limited-channel-eeg-and-non-linear-dimension-reduction
#12
Javad Birjandtalab, Maziyar Baran Pouyan, Diana Cogan, Mehrdad Nourani, Jay Harvey
Electroencephalography (EEG) is an essential component in evaluation of epilepsy. However, full-channel EEG signals recorded from 18 to 23 electrodes on the scalp is neither wearable nor computationally effective. This paper presents advantages of both channel selection and nonlinear dimension reduction for accurate automatic seizure detection. We first extract the frequency domain features from the full-channel EEG signals. Then, we use a random forest algorithm to determine which channels contribute the most in discriminating seizure from non-seizure events...
January 25, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28160695/enhanced-dynamic-range-x-ray-imaging
#13
Mark A Haidekker, Logan Dain-Kelley Morrison, Ajay Sharma, Emily Burke
X-ray images can suffer from excess contrast. Often, image exposure is chosen to visually optimize the region of interest, but at the expense of over- and underexposed regions elsewhere in the image. When image values are interpreted quantitatively as projected absorption, both over- and underexposure leads to the loss of quantitative information. We propose to combine multiple exposures into a composite that uses only pixels from those exposures in which they are neither under- nor overexposed. The composite image is created in analogy to visible-light high dynamic range photography...
January 25, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28161593/a-generalized-active-shape-model-for-segmentation-of-liver-in-low-contrast-ct-volumes
#14
Mina Esfandiarkhani, Amir Hossein Foruzan
PURPOSE: To improve segmentation of normal/abnormal livers in contrast-enhanced/non-contrast CT image using the Active Shape Model (ASM) algorithm; we introduce a generalized profile model. We also intend to accurately detect boundary of liver where it touches nearby organs with similar intensities. METHOD: Initial boundary of a liver in a CT slice is found using an intensity-based technique and it is then represented by a set of points. The profile of a boundary point is represented by a generalized edge model and the parameters of the model are obtained using a non-linear fitting scheme...
January 24, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28135646/gap-free-segmentation-of-vascular-networks-with-automatic-image-processing-pipeline
#15
Chih-Yang Hsu, Mahsa Ghaffari, Ali Alaraj, Michael Flannery, Xiaohong Joe Zhou, Andreas Linninger
Current image processing techniques capture large vessels reliably but often fail to preserve connectivity in bifurcations and small vessels. Imaging artifacts and noise can create gaps and discontinuity of intensity that hinders segmentation of vascular trees. However, topological analysis of vascular trees require proper connectivity without gaps, loops or dangling segments. Proper tree connectivity is also important for high quality rendering of surface meshes for scientific visualization or 3D printing...
January 21, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28126630/automatic-detection-and-measurement-of-nuchal-translucency
#16
Giuseppa Sciortino, Domenico Tegolo, Cesare Valenti
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main markers for screening of chromosomal defects such as trisomy 13, 18 and 21. Its measurement is performed during ultrasound scanning in the first trimester of pregnancy. The proposed methodology is mainly based on wavelet and multi resolution analysis. The performance of our method was analysed on 382 random frames, representing mid-sagittal sections, uniformly extracted from real clinical ultrasound videos of 12 patients...
January 20, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28113061/comment-on-the-paper-network-and-nakamura-tridiagonal-computational-simulation-of-electrically-conducting-biopolymer-micro-morphic-transport-phenomena-o-anwar-b%C3%A3-g-j-zueco-m-norouzi-m-davoodi-a-a-joneidi-assma-f-elsayed-computers-in-biology-and-medicine-44
#17
https://www.readbyqxmd.com/read/28119191/bayesian-approach-to-decompression-sickness-model-parameter-estimation
#18
L E Howle, P W Weber, J M Nichols
We examine both maximum likelihood and Bayesian approaches for estimating probabilistic decompression sickness model parameters. Maximum likelihood estimation treats parameters as fixed values and determines the best estimate through repeated trials, whereas the Bayesian approach treats parameters as random variables and determines the parameter probability distributions. We would ultimately like to know the probability that a parameter lies in a certain range rather than simply make statements about the repeatability of our estimator...
January 17, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28126631/spatial-and-dynamical-handwriting-analysis-in-mild-cognitive-impairment
#19
Jacek Kawa, Adam Bednorz, Paula Stępień, Jarosław Derejczyk, Monika Bugdol
Background and Objectives Standard clinical procedure of Mild Cognitive Impairment (MCI) assessment employs time-consuming tests of psychological evaluation and requires the involvement of specialists. The employment of quantitative methods proves to be superior to clinical judgment, yet reliable, fast and inexpensive tests are not available. This study was conducted as a first step towards the development of a diagnostic tool based on handwriting. Methods In this paper the handwriting sample of a group of 37 patients with MCI (mean age 76...
January 11, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/27984824/arcphdb-a-comprehensive-protein-database-for-sf1-and-sf2-helicase-from-archaea
#20
Mirna Moukhtar, Wafi Chaar, Ziad Abdel-Razzak, Mohamad Khalil, Samir Taha, Hala Chamieh
PURPOSE: Superfamily 1 and Superfamily 2 helicases, two of the largest helicase protein families, play vital roles in many biological processes including replication, transcription and translation. Study of helicase proteins in the model microorganisms of archaea have largely contributed to the understanding of their function, architecture and assembly. Based on a large phylogenomics approach, we have identified and classified all SF1 and SF2 protein families in ninety five sequenced archaea genomes...
December 6, 2016: Computers in Biology and Medicine
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