Showing papers in "Computers and Biomedical Research in 1996"

TL;DR: A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.

TL;DR: An image-processing strategy which detects and quantifies microaneurysms present in digitized fluorescein angiograms and is valuable in providing a way of accurately monitoring the progression of diabetic retinopathy.

TL;DR: This study shows that the LVQ network offers a practical solution for ED detection which is easily adjusted to an individual neurologist's style and is as sensitive and specific as an expert visual analysis.

TL;DR: The issues and implementation of a clinical event monitor are described, using as an example the Columbia-Presbyterian Medical Center clinical event Monitor, which is based on the Arden Syntax for Medical Logic Modules.

TL;DR: This program is suited to analysis of the relationship between risk factors and disease in case-control studies with simple random sampling of controls, in terms of relative risks and ARs, by means of unconditional logistic regression analysis.

TL;DR: Evaluation results demonstrate the overall performance of this system to be reasonable, accurately encoding approximately 76% of admission diagnoses and the development and evaluation of a such a system designed to encode freetext admission diagnoses.

TL;DR: The experimental results show that a promising solution can be obtained using the penalized fuzzy competitive learning neural network based on least squares criteria, and could provide an acceptable result for medical image segmentation in parallel processing using the hardware implementation.

TL;DR: An attempt was made to create an expert system with sufficient accuracy to diagnose classes of anemia and report presumptive diagnoses directly on the hematology form, and a hybrid expert system combining rule-based and artificial neural network models was constructed to evaluate microcytic anemia.

TL;DR: An automatic procedure to detect and quantify patient motion during the acquisition of the tomographic views in single photon emission computerized tomography (SPECT) is proposed.

TL;DR: A numerical simulation of hemodynamics in blood vessels with 0-75% dilation is made and the effects of nonlinear convective terms and the nonlinear geometry of the vessel are clearly depicted through the transverse velocity and pressure profiles.

TL;DR: It is illustrated how a CA model can be coupled to a qualitative model to produce a system that combines the fine grained description of CA models with the high level interpretative role of qualitative models.

TL;DR: A computer algorithm developed to label as artifacts any data points outside the upper and lower limits generated by a 5-beat moving average is efficient and highly repeatable in processing short-term beat-to-beat heart rate data collected from the general population, given that the data operators are trained according to standardized protocol.

TL;DR: Algorithms for feature extraction and clustering of multichannel EEG transients occurring in epilepsy, so called spikes, are treated and the clusters obtained by the algorithms had high accordance with the result of the neurophysiologist.

TL;DR: PhenoDB stores genetic marker data on pedigrees and populations and can produce statistical summaries such as allele frequencies, phenotype frequencies, and Chi-square tests of Hardy-Weinberg ratios of population/pedigree data.

TL;DR: Results show that the proposed adaptive noise cancellation schemes are very effective (especially the one which employs Newton's method) in minimizing the EOG artifacts from contaminated EEG signals.

TL;DR: A new compression scheme for single channel ECG, by delineating each ECG cycle using multirate processing to normalize the varying period beats, followed by amplitude normalization.

TL;DR: This study considers the application of a nonmathematical simulation language in modeling HIV spread among intravenous drug users injecting within a "shooting gallery," a location providing a common needle supply to a large number of users.

TL;DR: A NN iterative algorithm that enables deterministic spatial patterns to be detected by identifying the distances between objects for which there is the greatest deviation from randomness and hence the amplitude of the areas of maximum reciprocal influence between objects is proposed.

TL;DR: Based upon magnetic resonance scans of five human tibiae a three-dimensional finite element model using eight nodal isoparametric elements was developed to analyze the biomechanical properties of fracture fixation by an unreamed interlocking nail.

TL;DR: The purpose of this study is to evaluate the Spatial Gray Level Dependence Method of texture analysis with respect to its ability to discriminate between melanocytic nevi and normal skin.

TL;DR: A new digital processing method was developed to improve the specific diagnosis of small (up to 3 cm) solitary pulmonary nodules on lung tomograms and confirmed that all details, displayed on the processed tomogram, corresponded to morphological structures on postsurgical histotopograms.

TL;DR: This study is an exploration into whether an artificial intelligence method (ID3) could provide a new angle for approaching syndromes, and used the ID3 algorithm to extract predictive clinical signs from a catalogue of Syndromes.

TL;DR: The design of a digital signal processor based system for a personal computer for EMG data acquisition to monitor muscle activity during gait and to estimate the power spectrum of the acquired data under normal and pathological conditions is described.

TL;DR: Applications of the ED to various clinical and experimental human cardiovascular time series show that the ED can be an important aid to describe and interpret time-varying frequency components of cardiovascular signals such as heart rate, interbeat interval, blood pressure, and respiration.

TL;DR: It is concluded that the use of a computerized browsing and encoding tool by clinicians can increase data quality and the volume of documented data.

TL;DR: The initial implementation of a clinical decision support system, which uses closed-loop rules to propose laboratory and other investigations, was taken to move to Arden Syntax, although in some areas the current standard was felt to be either inadequate or inelegant.

TL;DR: This paper describes and applies the ITRULE algorithm, a generalized rule induction algorithm of Smyth and Goodman, for the exploratory analysis of a subset of data from the National Heart, Lung, and Blood Institute Growth and Health Study.

TL;DR: A computerized algorithm is presented that fills the need for a realistic and quantitative rather than a qualitative measurement of the parameter reliability and is compared with the traditional VCM approach for different data sets.

TL;DR: The results obtained demonstrate that if the experimental conditions are chosen properly, linear transformations and nonlinear fitting techniques provide reliable estimates for the binding parameters, however, not all procedures provide estimates with the same accuracy.

TL;DR: Differing results of the same search request processed on different hosts led the authors to investigate this issue more thoroughly and revealed that none of the nine search request produced an identical result on all hosts.