当前位置： SCI文献检索 > COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE期刊下所有文献 > Graphical simulation environments for modelling and simulation of integrative physiology.

Graphical simulation environments for modelling and simulation of integrative physiology.

Abstract：

:Guyton's original integrative physiology model was a milestone in integrative physiology, combining significant physiological knowledge with an engineering perspective to develop a computational diagrammatic model. It is still used in research and teaching, with a small number of variants on the model also in circulation. However, though new research has added significantly to the knowledge represented by Guyton's model, and significant advances have been made in computing and simulation software, an accepted common platform to integrate this new knowledge has not emerged. This paper discusses the issues in the selection of a suitable platform, together with a number of current possibilities, and suggests a graphical computing environment for modelling and simulation. By way of example, a validated version of Guyton's 1992 model, implemented in the ubiquitous Simulink environment, is presented which provides a hierarchical representation amenable to extension and suitable for teaching and research uses. It is designed to appeal to the biomedical engineer and physiologist alike.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Mangourova V,Ringwood J,Van Vliet B

doi

10.1016/j.cmpb.2010.05.001

subject

Has Abstract

pub_date

2011-06-01 00:00:00

pages

295-304

issue

3

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(10)00115-X

journal_volume

102

pub_type

杂志文章

相关文献

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE文献大全
  • Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.

    abstract：BACKGROUND AND OBJECTIVE:Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel approach to segmenting deep WMHs using deep neural networks based on t...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2019.105065

    authors： Hong J,Park BY,Lee MJ,Chung CS,Cha J,Park H

    更新日期：2020-01-01 00:00:00

  • Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.

    abstract：INTRODUCTION:Being able to predict functional outcomes after a stroke is highly desirable for clinicians. This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilitation. The aim of this study was to apply various machine learning (ML) ...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105381

    authors： Lin CH,Hsu KC,Johnson KR,Fann YC,Tsai CH,Sun Y,Lien LM,Chang WL,Chen PL,Lin CL,Hsu CY,Taiwan Stroke Registry Investigators.

    更新日期：2020-07-01 00:00:00

  • Magnetic resonance image processing and structured grid generation of a human abdominal bifurcation.

    abstract：:Magnetic resonance angiography (MRA) offers a non-invasive approach to the acquisition of anatomically accurate human arterial structure. Combining the latest computational fluid dynamics (CFD) techniques with clinical data from MRA, the detailed haemodynamics information in the human circulation system can be obtaine...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/s0169-2607(98)00008-x

    authors： Long Q,Xu XY,Collins MW,Bourne M,Griffith TM

    更新日期：1998-06-01 00:00:00

  • Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition.

    abstract：:A computerized 24-h diet recall interview program (EPIC-SOFT) was developed for use in a large European multi-center study, namely the European Prospective Investigation into Cancer and Nutrition (EPIC). This program, which was adapted for each participating country and translated into nine languages, was developed to...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章,多中心研究

    doi：10.1016/s0169-2607(98)00088-1

    authors： Slimani N,Deharveng G,Charrondière RU,van Kappel AL,Ocké MC,Welch A,Lagiou A,van Liere M,Agudo A,Pala V,Brandstetter B,Andren C,Stripp C,van Staveren WA,Riboli E

    更新日期：1999-03-01 00:00:00

  • Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features.

    abstract：:The aim of the present study was to design, implement and evaluate a software system for discriminating between metastatic and primary brain tumors (gliomas and meningiomas) on MRI, employing textural features from routinely taken T1 post-contrast images. The proposed classifier is a modified probabilistic neural netw...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2007.10.007

    authors： Georgiadis P,Cavouras D,Kalatzis I,Daskalakis A,Kagadis GC,Sifaki K,Malamas M,Nikiforidis G,Solomou E

    更新日期：2008-01-01 00:00:00

  • pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

    abstract：BACKGROUND AND OBJECTIVE:Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. However, these frameworks rarely address issues specific to the domain of medical image analysis, such as 3-D data handling and distanc...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105796

    authors： Jungo A,Scheidegger O,Reyes M,Balsiger F

    更新日期：2021-01-01 00:00:00

  • Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography.

    abstract：BACKGROUND AND OBJECTIVE:Gallbladder polyp is a common disease with an overall population prevalence between 4 and 7%. It can be classified as neoplastic and non-neoplastic lesions. Surgical treatment is necessary for neoplastic polyps. Due to its easy accessibility and nonradioactive, ultrasonography is the mostly use...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2019.105118

    authors： Chen T,Tu S,Wang H,Liu X,Li F,Jin W,Liang X,Zhang X,Wang J

    更新日期：2020-03-01 00:00:00

  • Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.

    abstract：BACKGROUND AND OBJECTIVE:Segmentation is a crucial step in multiple biomechanics and orthopedics applications. The time-intensiveness and expertise requirements of medical image segmentation present a significant bottleneck for corresponding workflows. The current study develops and evaluates convolutional neural netwo...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105328

    authors： Burton W 2nd,Myers C,Rullkoetter P

    更新日期：2020-06-01 00:00:00

  • OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images.

    abstract：BACKGROUND AND OBJECTIVE:Retinal diseases are becoming a major health problem in recent years. Their early detection and ensuing treatment are essential to prevent visual damage, as the number of people affected by diabetes is expected to grow exponentially. Retinal diseases progress slowly, without any discernible sym...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105877

    authors： A P S,Kar S,S G,Gopi VP,Palanisamy P

    更新日期：2020-11-28 00:00:00

  • Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set.

    abstract：:Lung cancer is one of the most common forms of cancer resulting in over a million deaths per year worldwide. In this paper, the usage of support vector machine (SVM) classification for lung cancer is investigated, presenting a systematic quantitative evaluation against Boosting, Decision trees, k-nearest neighbor, LAS...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2013.04.016

    authors： Sun T,Wang J,Li X,Lv P,Liu F,Luo Y,Gao Q,Zhu H,Guo X

    更新日期：2013-08-01 00:00:00

  • OLYMPUS: an automated hybrid clustering method in time series gene expression. Case study: host response after Influenza A (H1N1) infection.

    abstract：:The increasing flow of short time series microarray experiments for the study of dynamic cellular processes poses the need for efficient clustering tools. These tools must deal with three primary issues: first, to consider the multi-functionality of genes; second, to evaluate the similarity of the relative change of a...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2013.05.025

    authors： Dimitrakopoulou K,Vrahatis AG,Wilk E,Tsakalidis AK,Bezerianos A

    更新日期：2013-09-01 00:00:00

  • Artificial neural networks for closed loop control of in silico and ad hoc type 1 diabetes.

    abstract：:The closed loop control of blood glucose levels might help to reduce many short- and long-term complications of type 1 diabetes. Continuous glucose monitoring and insulin pump systems have facilitated the development of the artificial pancreas. In this paper, artificial neural networks are used for both the identifica...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2011.11.006

    authors： Fernandez de Canete J,Gonzalez-Perez S,Ramos-Diaz JC

    更新日期：2012-04-01 00:00:00

  • Coupling image processing and stress analysis for damage identification in a human premolar tooth.

    abstract：:Non-carious cervical lesions are characterized by the loss of dental hard tissue at the cement-enamel junction (CEJ). Exceeding stresses are therefore generated in the cervical region of the tooth that cause disruption of the bonds between the hydroxyapatite crystals, leading to crack formation and eventual loss of en...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2010.06.009

    authors： Andreaus U,Colloca M,Iacoviello D

    更新日期：2011-08-01 00:00:00

  • On the magnetic aggregation of Fe3O4 nanoparticles.

    abstract：:Background and objective In-vivo MRI-guided drug delivery concept is a personalized technique towards cancer treatment. A major bottleneck of this method, is the weak magnetic response of nanoparticles. A crucial improvement is the usage of paramagnetic nanoparticles aggregates since they can easier manipulated in hum...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105778

    authors： Karvelas EG,Lampropoulos NK,Benos LT,Karakasidis T,Sarris IE

    更新日期：2021-01-01 00:00:00

  • Epileptic EEG detection using neural networks and post-classification.

    abstract：:Electroencephalogram (EEG) has established itself as an important means of identifying and analyzing epileptic seizure activity in humans. In most cases, identification of the epileptic EEG signal is done manually by skilled professionals, who are small in number. In this paper, we try to automate the detection proces...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2008.02.005

    authors： Patnaik LM,Manyam OK

    更新日期：2008-08-01 00:00:00

  • Hybrid mediated blood flow investigation for atherosclerotic bifurcated lesions with slip, convective and compliant wall impacts.

    abstract：OBJECTIVE:The present investigation is concerned with hybrid mediated blood flow model through atherosclerotic bifurcated artery with slip effects by considering the properties of compliant walls. DESIGN/APPROACH:In human body, the circulatory system is made up of a network of blood vessels that include the bifurcatio...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2019.07.008

    authors： Shahzadi I,Kousar N

    更新日期：2019-10-01 00:00:00

  • Darcy-Forchheimer hybrid (MoS2, SiO2) nanofluid flow with entropy generation.

    abstract：BACKGROUND:The aim of this articles is to investigate the entropy optimization in Darcy-Forchheimer hybrid nanofluids flow towards a stretchable surface. The flow is caused due to stretching of surface. Energy equation is discussed through heat generation/absorption, viscous dissipation and heat flux. Here molybdenum d...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2019.105152

    authors： Khan SA,Khan MI,Hayat T,Alsaedi A

    更新日期：2020-03-01 00:00:00

  • A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.

    abstract：BACKGROUND AND OBJECTIVE:For cancer detection from microscopic biopsy images, image segmentation step used for segmentation of cells and nuclei play an important role. Accuracy of segmentation approach dominate the final results. Also the microscopic biopsy images have intrinsic Poisson noise and if it is present in th...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.05.003

    authors： Kumar R,Srivastava S,Srivastava R

    更新日期：2017-07-01 00:00:00

  • Mixed convection peristaltic motion of copper-water nanomaterial with velocity slip effects in a curved channel.

    abstract：BACKGROUND AND OBJECTIVE:The primary objective of present analysis is to model the peristalsis of copper-water based nanoliquid in the presence of first order velocity and thermal slip conditions in a curved channel. Mixed convection, viscous dissipation and heat generation/absorption are also accounted. METHOD:Mathem...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.02.006

    authors： Hayat T,Farooq S,Alsaedi A

    更新日期：2017-04-01 00:00:00

  • The effect of particulate matter size on cardiovascular health in Taipei Basin, Taiwan.

    abstract：BACKGROUND:Although the overall effect of particulate matter (PM) on cardiovascular disease (CVD) has been previously documented, the effect of different PM sizes (PM10, PM2.5-10 and PM2.5) has not been well studied. This study estimates the effect of different PM sizes on the incidence of CVD in Taipei, Taiwan. METHO...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2016.08.014

    authors： Yang HC,Chang SH,Lu R,Liou DM

    更新日期：2016-12-01 00:00:00

  • SAE: an R package for early stopping rules in clinical trials.

    abstract：:In the case of an unexpected high frequency of serious adverse events (SAE), statistical methods are needed to help in the decision making process as to continuation of accrual to the trial. This paper describes an R package, named SAE that implements a method recently developed by defining stopping rules after each o...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2011.05.005

    authors： Bascoul-Mollevi C,Laplanche A,Le Deley MC,Kramar A

    更新日期：2011-11-01 00:00:00

  • Extracting a statistical data matrix from electronic patient records.

    abstract：:This paper describes the processing and transformation of medical data from a clinical database to a statistical data matrix. Precise extraction and linking tools must be available for the desired data to be processed for statistical purposes. We show that flexible mechanisms are required for the different types of us...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/s0169-2607(00)00130-9

    authors： Gall W,Heinzl H,Sachs P

    更新日期：2001-09-01 00:00:00

  • An iterative phase correction program for nuclear magnetic resonance (NMR) spectra.

    abstract：:An iterative algorithm is given to correct for the zeroth and first order phase errors in NMR spectroscopy. A FORTRAN computer program is listed and two sample runs exemplified. No a priori knowledge of the existing phase errors is required. The parameters are optimised iteratively under the assumption that when the s...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(88)90078-8

    authors： Chen CN,Kan LS

    更新日期：1988-01-01 00:00:00

  • Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model.

    abstract：BACKGROUND AND OBJECTIVE:Type 2 diabetes mellitus (T2DM) complications seriously affect the quality of life and could not be cured completely. Actions should be taken for prevention and self-management. Analysis of warning factors is beneficial for patients, on which some previous studies focused. They generally used t...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2019.105302

    authors： Liu S,Zhang R,Shang X,Li W

    更新日期：2020-05-01 00:00:00

  • Automated quantification of renal interstitial fibrosis for computer-aided diagnosis: A comprehensive tissue structure segmentation method.

    abstract：:Interstitial fibrosis in renal biopsy samples is a scarring tissue structure that may be visually quantified by pathologists as an indicator to the presence and extent of chronic kidney disease. The standard method of quantification by visual evaluation presents reproducibility issues in the diagnoses. This study prop...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.12.004

    authors： Tey WK,Kuang YC,Ooi MP,Khoo JJ

    更新日期：2018-03-01 00:00:00

  • Piecewise nonlinear mixed-effects models for modeling cardiac function and assessing treatment effects.

    abstract：:Mixed-effects model is an efficient tool for analyzing longitudinal data. The random effects in a mixed-effects model can be used to capture the correlations among repeated measurements within a subject. Mixed effects model can be used to describe individual response profile as well as population response profile. In ...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2012.11.007

    authors： Jang H,Conklin DJ,Kong M

    更新日期：2013-06-01 00:00:00

  • Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models.

    abstract：:Model reduction techniques have shown to constitute a valuable tool for real-time simulation in surgical environments and other fields. However, some limitations, imposed by real-time constraints, have not yet been overcome. One of such limitations is the severe limitation in time (established in 500Hz of frequency fo...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2010.06.012

    authors： Niroomandi S,Alfaro I,Cueto E,Chinesta F

    更新日期：2012-01-01 00:00:00

  • Separation of P300 event-related potential using time varying time-lag blind source separation algorithm.

    abstract：:Synchronous averaging over time locked single-trial of event-related potential (ERP) is known as the simplest scheme to extract P300 component. This method assumes the P300 features are invariant through the time while they are affected by factors like brain fatigue and habitation. In this study, a new scheme is propo...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.04.014

    authors： Sabeti M,Boostani R

    更新日期：2017-07-01 00:00:00

  • Automatic detection of breast border and nipple in digital mammograms.

    abstract：:Advances in the area of computerized image analysis applied to mammography may have very important practical applications in automatically detecting asymmetries (masses, architectural distortions, etc.) between the two breasts. We have developed a fully automatic technique to detect the breast border and the nipple, t...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(96)01724-5

    authors： Méndez AJ,Tahoces PG,Lado MJ,Souto M,Correa JL,Vidal JJ

    更新日期：1996-05-01 00:00:00

  • Non-linear mixed-effects pharmacokinetic/pharmacodynamic modelling in NLME using differential equations.

    abstract：:The standard software for non-linear mixed-effect analysis of pharmacokinetic/pharmacodynamic (PK/PD) data is NONMEM while the non-linear mixed-effects package NLME is an alternative as long as the models are fairly simple. We present the nlmeODE package which combines the ordinary differential equation (ODE) solver p...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2004.01.001

    authors： Tornøe CW,Agersø H,Jonsson EN,Madsen H,Nielsen HA

    更新日期：2004-10-01 00:00:00