Computers and biomedical research, an international journal最新文献

Evolutionary partial differential equations for biomedical image processing 生物医学图像处理的进化偏微分方程

Computers and biomedical research, an international journal Pub Date : 2002-04-01 DOI: 10.5555/767227.767228

SartiAlessandro, MikulaKarol, SgallariFiorella, LambertiClaudio

引用次数: 0

Computers and biomedical research, an international journal Pub Date : 2000-12-01 DOI: 10.1006/cbmr.2000.1558

引用次数: 0

Controlling for Chance Agreement in the Validation of Medical Expert Systems with No Gold Standard: PNEUMON-IA and RENOIR Revisited 在没有金标准的医疗专家系统验证中控制机会一致性:肺炎和雷诺阿的重新审视

Computers and biomedical research, an international journal Pub Date : 2000-12-01 DOI: 10.1006/cbmr.2000.1552

M. Martı́n-Baranera , J.J. Sancho, F. Sanz

引用次数: 6

Time-Frequency Analysis of the RT and RR Variability to Stratify Hypertrophic Cardiomyopathy Patients 肥厚性心肌病患者分层的RT和RR变异性的时频分析

Computers and biomedical research, an international journal Pub Date : 2000-12-01 DOI: 10.1006/cbmr.2000.1553

F. Clariá , M. Vallverdú , R. Baranowski , L. Chojnowska , P. Caminal

{"title":"Time-Frequency Analysis of the RT and RR Variability to Stratify Hypertrophic Cardiomyopathy Patients","authors":"F. Clariá , M. Vallverdú , R. Baranowski , L. Chojnowska , P. Caminal","doi":"10.1006/cbmr.2000.1553","DOIUrl":"10.1006/cbmr.2000.1553","url":null,"abstract":"<div><p>The RT interval is a measure of the ventricular repolarization and is partially influenced by the sympathovagal balance. The analysis of the variation of the duration of the RT and RR intervals might bring new information about the arrhythmogenic vulnerability and autonomic imbalance. The RR signal and its spectral density (SD) are characterized by two different patterns during the sleep period. On the basis of this information, RT and RR sequences have been automatically classified into two patterns, <em>R</em> and <em>N</em>. In this work, we propose a methodology to define new variables that are able to distinguish patients with hypertrophic cardiomyopathy (HCM) who later developed sudden cardiac death (SCD) from HCM patients without such episode during the follow-up. These variables are based on the instantaneous frequency calculation using time-frequency representation of the RT and RR signals previously classified into <em>R</em> and <em>N</em> patterns. In this study, three spectral bands have been considered: low-frequency band (LF, 0–0.07 Hz), mid-frequency band (MF, 0.07–0.15 Hz), and high-frequency band (HF, 0.15–0.45 Hz). Then a suitable combination of mean energy and mean frequency of the RT and RR signals in the MF and HF bands has allowed HCM patients with SCD to be discriminated from HCM patients without SCD (<em>P</em> < 0.001).</p></div>","PeriodicalId":75733,"journal":{"name":"Computers and biomedical research, an international journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cbmr.2000.1553","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85966274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Controlled Auxotonic Twitch in Papillary Muscle: A New Computer-Based Control Approach 控制乳头肌强直抽搐:一种新的计算机控制方法

Computers and biomedical research, an international journal Pub Date : 2000-12-01 DOI: 10.1006/cbmr.2000.1551

Vidar Sørhus , Stanislas U. Sys , Anders Natåns , Marc J. Demolder , Bjørn A.J. Angelsen

引用次数: 13

Wavelet Domain Nonlinear Filtering for Evoked Potential Signal Enhancement 诱发电位信号增强的小波域非线性滤波

Computers and biomedical research, an international journal Pub Date : 2000-12-01 DOI: 10.1006/cbmr.2000.1555

G. Sita, A.G. Ramakrishnan

引用次数: 18

On the Parallelization of Linkmap from the LINKAGE/FASTLINK Package 从LINKAGE/FASTLINK包看Linkmap的并行化

Computers and biomedical research, an international journal Pub Date : 2000-10-01 DOI: 10.1006/cbmr.2000.1547

Aaditya Rai , Noe Lopez-Benitez , J.D. Hargis , S.E. Poduslo

{"title":"On the Parallelization of Linkmap from the LINKAGE/FASTLINK Package","authors":"Aaditya Rai , Noe Lopez-Benitez , J.D. Hargis , S.E. Poduslo","doi":"10.1006/cbmr.2000.1547","DOIUrl":"10.1006/cbmr.2000.1547","url":null,"abstract":"<div><p>Genetic linkage calculations can be time consuming, even on a fast computer. The ability to collect large family pedigrees has increased the magnitude of linkage computations. Sequential genetic algorithms have many successful applications in very different domains, but they have a main drawback in their utilization. Evaluations are very time-consuming, e.g., a pedigree consisting of 55 nodes takes about 70 min on a DEC-Alpha processor and about 270 min on a 166 MHz Pentium for certain likelihood calculations. This time increases exponentially with the increase in the size of the pedigree. In order to solve these shortcomings and to study new models of higher efficiency and efficacy, parallel platforms are being used for genetic programs. LINKAGE is a software package for performing genetic likelihood calculations; FASTLINK is an improved, faster version of it. This paper provides a parallel implementation of the “Linkmap” program (one of the four programs in LINKAGE/FASTLINK) for a heterogeneous environment, using a static and a dynamic strategy for task allocation. It was found that the increased performance by the dynamic strategy was close to the estimated maximum speed up.</p></div>","PeriodicalId":75733,"journal":{"name":"Computers and biomedical research, an international journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cbmr.2000.1547","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21848871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Artificial Neural Networks Compared to Factor Analysis for Low-Dimensional Classification of High-Dimensional Body Fat Topography Data of Healthy and Diabetic Subjects 人工神经网络与因子分析在健康与糖尿病受试者高维体脂地形数据低维分类中的比较

Computers and biomedical research, an international journal Pub Date : 2000-10-01 DOI: 10.1006/cbmr.2000.1550

Erwin Tafeit , Reinhard Möller , Karl Sudi , Gilbert Reibnegger

{"title":"Artificial Neural Networks Compared to Factor Analysis for Low-Dimensional Classification of High-Dimensional Body Fat Topography Data of Healthy and Diabetic Subjects","authors":"Erwin Tafeit , Reinhard Möller , Karl Sudi , Gilbert Reibnegger","doi":"10.1006/cbmr.2000.1550","DOIUrl":"10.1006/cbmr.2000.1550","url":null,"abstract":"<div><p>Subcutaneous adipose tissue thickness was measured in 590 healthy subjects at 15 specific body sites by means of the new optical device, lipometer, providing a high-dimensional and partly highly intercorrelated set of data, which had been analyzed by factor analysis previously. <em>N</em>-2-<em>N</em> back-propagation neural networks are able to perform low-dimensional display of high-dimensional data as a special application. We report about the performance of such a 15-2-15 network and compare its results with the output of factor analysis. As test data for verification, measurement values on women with proven diabetes mellitus type II (NIDDM) are used. Surprisingly our 15-2-15 neural network is able to reproduce the classification pattern resulting from factor analysis very precisely. After extracting the network weights the classification of new subjects is even more simple with the neural network as compared with factor analysis. In addition, the network weights are able to cluster highly correlated body sites nicely to different groups, corresponding to different regions of the human body. Thus, the analysis of these weights provides additional information about the structure of the data. Therefore, <em>N</em>-2-<em>N</em> networks seem to be a good alternative method for analyzing high-dimensional data with strong intercorrelation.</p></div>","PeriodicalId":75733,"journal":{"name":"Computers and biomedical research, an international journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cbmr.2000.1550","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21848872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Automated Sleep Stage Scoring Using Hybrid Rule- and Case-Based Reasoning 使用混合规则和基于案例的推理自动睡眠阶段评分

Computers and biomedical research, an international journal Pub Date : 2000-10-01 DOI: 10.1006/cbmr.2000.1549

Hae-Jeong Park , Jung-Su Oh , Do-Un Jeong , Kwang-Suk Park

引用次数: 88

Pk-fit: A Pharmacokinetic/Pharmacodynamic and Statistical Data Analysis Software Pk-fit:一个药代动力学/药效学和统计数据分析软件

Computers and biomedical research, an international journal Pub Date : 2000-10-01 DOI: 10.1006/cbmr.2000.1548

Christine Farenc , Jean-Rock Fabreguette , Françoise Bressolle

{"title":"Pk-fit: A Pharmacokinetic/Pharmacodynamic and Statistical Data Analysis Software","authors":"Christine Farenc , Jean-Rock Fabreguette , Françoise Bressolle","doi":"10.1006/cbmr.2000.1548","DOIUrl":"10.1006/cbmr.2000.1548","url":null,"abstract":"<div><p>This paper presents a new software, Pk-fit, to fit nonlinear models to kinetic and dynamic data. Directly connected to the spreadsheet, a statistical software component manager is available. In the data manager, Pk-fit includes the noncompartmental analysis module, the compartmental analysis module, the nonlinear kinetic process module, the drug absorption module, the pharmacodynamic data modeling module, the simultaneous fitting module, and the user-defined library module. In this paper, we present a detailed comparison of the kinetic analysis using Pk-fit and common software packages, PCNONLIN, MODFIT, MKMODEL, NONMEM, and SIPHAR, based on the textbook published by Gabrielsson in 1992, “Compilation of Analyzed Data Sets for Pharmacokinetic Software Evaluation.” The comparison of Pk-fit with the reference softwares revealed that the parameters and their dispersion found with Pk-fit are consistent with the ones estimated with the other programs. In conclusion, Pk-fit constituted a valid tool for pharmacokinetic/pharmacodynamic data analysis.</p></div>","PeriodicalId":75733,"journal":{"name":"Computers and biomedical research, an international journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cbmr.2000.1548","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21848869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 33