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Computer Methods and Programs in Biomedicine

Chung-Ho Hsieh, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
December 2017: Computer Methods and Programs in Biomedicine
A J C C Lins, M T C Muniz, A N M Garcia, A V Gomes, R M Cabral, C J A Bastos-Filho
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative diseases, such as Cognitive Impairment and Alzheimer?s disease, can be identified before the manifestation of the diseases. Several factors are related to these pathologies, making the diagnostic process a hard problem to solve. This paper proposes a computational model based on the artificial neural network to classify data patterns of older adults...
December 2017: Computer Methods and Programs in Biomedicine
Giordano Valente, Gianluigi Crimi, Nicola Vanella, Enrico Schileo, Fulvia Taddei
BACKGROUND AND OBJECTIVE: Musculoskeletal modeling and simulations of movement have been increasingly used in orthopedic and neurological scenarios, with increased attention to subject-specific applications. In general, musculoskeletal modeling applications have been facilitated by the development of dedicated software tools; however, subject-specific studies have been limited also by time-consuming modeling workflows and high skilled expertise required. In addition, no reference tools exist to standardize the process of musculoskeletal model creation and make it more efficient...
December 2017: Computer Methods and Programs in Biomedicine
Jingyu Jiang, Yuan Xing, Shuxin Wang, Ke Liang
BACKGROUND AND OBJECTIVE: accompanied with the wide acceptance of robot assisted minimally invasive surgery (RMIS), the demand for efficient and objective surgical skills evaluation method is increased. Recently, with the development of medical engineering technology, several evaluation methods have been proposed. Among them, kinematic analysis, an unsupervised and data-based method, has been accepted by many researchers. However, this method is still limited by the number of metrics and unconvinced scoring system...
December 2017: Computer Methods and Programs in Biomedicine
Santiago Esteban, Manuel Rodríguez Tablado, Francisco E Peper, Yamila S Mahumud, Ricardo I Ricci, Karin S Kopitowski, Sergio A Terrasa
BACKGROUND AND OBJECTIVE: Recent progression towards precision medicine has encouraged the use of electronic health records (EHRs) as a source for large amounts of data, which is required for studying the effect of treatments or risk factors in more specific subpopulations. Phenotyping algorithms allow to automatically classify patients according to their particular electronic phenotype thus facilitating the setup of retrospective cohorts. Our objective is to compare the performance of different classification strategies (only using standardized problems, rule-based algorithms, statistical learning algorithms (six learners) and stacked generalization (five versions)), for the categorization of patients according to their diabetic status (diabetics, not diabetics and inconclusive; Diabetes of any type) using information extracted from EHRs...
December 2017: Computer Methods and Programs in Biomedicine
Min Seok Lee, Chul Hee Park, Moon Gi Kang
BACKGROUND AND OBJECTIVE: Low-dose X-ray fluoroscopy has continually evolved to reduce radiation risk to patients during clinical diagnosis and surgery. However, the reduction in dose exposure causes quality degradation of the acquired images. In general, an X-ray device has a time-average pre-processor to remove the generated quantum noise. However, this pre-processor causes blurring and artifacts within the moving edge regions, and noise remains in the image. During high-pass filtering (HPF) to enhance edge detail, this noise in the image is amplified...
December 2017: Computer Methods and Programs in Biomedicine
Yuqian Chen, Yufeng Ke, Guifang Meng, Jin Jiang, Hongzhi Qi, Xuejun Jiao, Minpeng Xu, Peng Zhou, Feng He, Dong Ming
As one of the most important brain-computer interface (BCI) paradigms, P300-Speller was shown to be significantly impaired once applied in practical situations due to effects of mental workload. This study aims to provide a new method of building training models to enhance performance of P300-Speller under mental workload. Three experiment conditions based on row-column P300-Speller paradigm were performed including speller-only, 3-back-speller and mental-arithmetic-speller. Data under dual-task conditions were introduced to speller-only data respectively to build new training models...
December 2017: Computer Methods and Programs in Biomedicine
Md Maniruzzaman, Nishith Kumar, Md Menhazul Abedin, Md Shaykhul Islam, Harman S Suri, Ayman S El-Baz, Jasjit S Suri
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden of this disease has been calculated to be about $13,700 per year. According to the World Health Organization (WHO), these figures will more than double by the year 2030. This cost will be reduced dramatically if someone can predict diabetes statistically on the basis of some covariates...
December 2017: Computer Methods and Programs in Biomedicine
Kao-Shang Shih, Sheng-Mou Hou, Shang-Chih Lin
BACKGROUND AND OBJECTIVE: The pullout strength of a screw is an indicator of how secure bone fragments are being held in place. Such bone-purchasing ability is sensitive to bone quality, thread design, and the pilot hole, and is often evaluated by experimental and numerical methods. Historically, there are some mathematical formulae to simulate the screw withdrawal from the synthetic bone. There are great variations in screw specifications. However, extensive investigation of the correlation between experimental and analytical results has not been reported in literature...
December 2017: Computer Methods and Programs in Biomedicine
Ladislav Peska, Krisztian Buza, Júlia Koller
BACKGROUND AND OBJECTIVE: In silico prediction of drug-target interactions (DTI) could provide valuable information and speed-up the process of drug repositioning - finding novel usage for existing drugs. In our work, we focus on machine learning algorithms supporting drug-centric repositioning approach, which aims to find novel usage for existing or abandoned drugs. We aim at proposing a per-drug ranking-based method, which reflects the needs of drug-centric repositioning research better than conventional drug-target prediction approaches...
December 2017: Computer Methods and Programs in Biomedicine
Mihiretu Kebede, Desalegn Tigabu Zegeye, Berihun Megabiaw Zeleke
BACKGROUND AND OBJECTIVES: To monitor the progress of therapy and disease progression, periodic CD4 counts are required throughout the course of HIV/AIDS care and support. The demand for CD4 count measurement is increasing as ART programs expand over the last decade. This study aimed to predict CD4 count changes and to identify the predictors of CD4 count changes among patients on ART. METHODS: A cross-sectional study was conducted at the University of Gondar Hospital from 3,104 adult patients on ART with CD4 counts measured at least twice (baseline and most recent)...
December 2017: Computer Methods and Programs in Biomedicine
Padmavathi Kora
BACKGROUND AND OBJECTIVE: Myocardial Infarction (MI) is one of the most frequent diseases, and can also cause demise, disability and monetary loss in patients who suffer from cardiovascular disorder. Diagnostic methods of this ailment by physicians are typically invasive, even though they do not fulfill the required detection accuracy. METHODS: Recent feature extraction methods, for example, Auto Regressive (AR) modelling; Magnitude Squared Coherence (MSC); Wavelet Coherence (WTC) using Physionet database, yielded a collection of huge feature set...
December 2017: Computer Methods and Programs in Biomedicine
Alexandra Piryatinska, Boris Darkhovsky, Alexander Kaplan
BACKGROUND AND OBJECTIVE: A crucial step in a classification of electroencephalogram (EEG) records is the feature selection. The feature selection problem is difficult because of the complex structure of EEG signals. To classify the EEG signals with good accuracy, most of the recently published studies have used high-dimensional feature spaces. Our objective is to create a low-dimensional feature space that enables binary classification of EEG records. METHODS: The proposed approach is based on our theory of the ϵ-complexity of continuous functions, which is extended here (see Appendix) to the case of vector functions...
December 2017: Computer Methods and Programs in Biomedicine
Senay Mihcin, Ioannis Karakitsios, Nhan Le, Jan Strehlow, Daniel Demedts, Michael Schwenke, Sabrina Haase, Tobias Preusser, Andreas Melzer
BACKGROUND AND OBJECTIVE: Magnetic Resonance Guided Focused Ultrasound (MRgFUS) for liver tumour ablation is a challenging task due to motion caused by breathing and occlusion due the ribcage between the transducer and the tumour. To overcome these challenges, a novel system for liver tumour ablation during free breathing has been designed. METHODS: The novel TRANS-FUSIMO Treatment System (TTS, EUFP7) interacts with a Magnetic Resonance (MR) scanner and a focused ultrasound transducer to sonicate to a moving target in liver...
December 2017: Computer Methods and Programs in Biomedicine
Jie Su, Shuai Liu, Jinming Song
BACKGROUND AND OBJECTIVES: The diagnosis of acute myeloid leukemia (AML) is purely dependent on counting the percentages of blasts (>20%) in the peripheral blood or bone marrow. Manual microscopic examination of peripheral blood or bone marrow aspirate smears is time consuming and less accurate. The first and very important step in blast recognition is the segmentation of the cells from the background for further cell feature extraction and cell classification. In this paper, we aimed to utilize computer technologies in image analysis and artificial intelligence to develop an automatic program for blast recognition and counting in the aspirate smears...
December 2017: Computer Methods and Programs in Biomedicine
Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
OBJECTIVES: Postoperative delirium is a common complication after major surgery among the elderly. Despite its potentially serious consequences, the complication often goes undetected and undiagnosed. In order to provide diagnosis support one could potentially exploit the information hidden in free text documents from electronic health records using data-driven clinical decision support tools. However, these tools depend on labeled training data and can be both time consuming and expensive to create...
December 2017: Computer Methods and Programs in Biomedicine
Bahareh Khazaei, Javad Salimi Sartakhti, Mohammad Hossein Manshaei, Quanyan Zhu, Mehdi Sadeghi, Seyed Rasoul Mousavi
BACKGROUND AND OBJECTIVE: Understanding the dynamics of human immunodeficiency virus (HIV) is essential for depicting, developing, and investigating effective treatment strategies. HIV infects several types of immune cells, but its main target is to destroy helper T-cells. In the lymph nodes, the infected T-cells interact with each other and their environment to obtain more resources. According to infectivity and replicative capacity of T-cells in the HIV infection process, they can be divided into four phenotypes...
December 2017: Computer Methods and Programs in Biomedicine
Cheng-Han Wu, Wei-Yi Li, Terry B J Kuo
No abstract text is available yet for this article.
November 2017: Computer Methods and Programs in Biomedicine
M Goldhacker, P Keck, A Igel, E W Lang, A M Tomé
BACKGROUND AND OBJECTIVE: The study follows the proposal of decomposing a given data matrix into a product of independent spatial and temporal component matrices. A multi-variate decomposition approach is presented, based on an approximate diagonalization of a set of matrices computed using a latent space representation. METHODS: The proposed methodology follows an algebraic approach, which is common to space, temporal or spatiotemporal blind source separation algorithms...
November 2017: Computer Methods and Programs in Biomedicine
Andriy Guilherme Krefer, Maiko Min Ian Lie, Gustavo Benvenutti Borba, Humberto Remigio Gamba, Marcos Dinís Lavarda, Mauren Abreu de Souza
BACKGROUND AND OBJECTIVE: Both thermal imaging and 3D scanning offer convenient advantages for medical applications, namely, being contactless, non-invasive and fast. Consequently, many approaches have been proposed to combine both sensing modalities in order to acquire 3D thermal models. The predominant approach is to affix a 3D scanner and a thermal camera in the same support and calibrate them together. While this approach allows straightforward projection of thermal images over the 3D mesh, it requires their simultaneous acquisition...
November 2017: Computer Methods and Programs in Biomedicine
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