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PubMed1990

EPISCOPE: computer programs in veterinary epidemiology.

Veterinary epidemiology is a rapidly developing science. However, many veterinarians are unfamiliar with the relevant techniques because veterinary schools have not introduced biostatistics as a core element of their courses or adopted epidemiology as a specific discipline. EPISCOPE, the computer software presented in this paper, covers many epidemiological principles and calculations. It can assist both the teaching of epidemiology and the analysis of field data.

Animal Diseases↗
PubMed1995

VS--a new computer program for detailed offline analysis of visual-spatial perception.

A new IBM-AT-compatible software program, VS, for the analysis of visual-spatial (VS) perception in humans, especially brain-damaged patients, is described. VS is suitable for analysis of the following visual-spatial tests: (1) subjective visual vertical (SVV), (2) subjective visual horizontal (SVH), and (3) orientation, length, distance, form and position discrimination, as well as line/bar bisection. The program allows manipulation of a wide range of experimental tasks by varying relevant parameters, e.g., length, width, color, movement direction, step width, and position on screen of the stimuli. Psychophysical parameters are computed (methods of limits) and stored in dBASE files which can be retrieved for further data analysis with commercial statistics or graphics software. VS has a versatile text editor, with two macro languages which enables the user to define their own experimental configurations and realize individual graphic plots on screen or laser printer. VS incorporates two standard examinations together with normative data of control subjects and standard plots of the subject's performance. The results of separate investigations show highly stable results in normal control subjects in repeated examinations as well as good retest-reliability of these standard examinations in brain-damaged patients (rtt = 0.77). Representative case reports of a patient with left-sided visual neglect, a patient with Balint's syndrome as well as a patient with visual-spatial deficits subsequent to a left parietal brain lesion demonstrate the sensitivity and specificity of the program.

Adult↗
PubMed1995

A computer program for the analysis of chromatograms used in pharmacokinetic studies.

An analog/digital (A/D) converter and software written in BASIC language have been developed for the analysis of chromatographic data which are needed for pharmacokinetic (PK) studies in humans and in experimental animals such as dogs and rats. Using an A/D converter, widely sold personal computers produced by NEC or EPSON are applicable to both high-performance liquid-chromatography (HPLC) data analysis and PK analysis. When chromatographic data is taken up by the computer and treated as a variable, a maximum of 12,000 data points are saved by the computer. As 10 digital data points are taken up by the computer per second through the A/D converter, the maximum run time of a chromatogram is 20 min. For the purpose of HPLC analysis, however, five digital data points per second are usually enough for routine analysis. In this software, the program is written to take and save five digital data points/s. Therefore, the maximum run time of this software increased to 40 min per chromatogram. All the digital data through the A/D converter are saved into the data file on a floppy disk or hard disk. For the chromatogram analysis, both automatic peak identification and manual peak identification, which must be selected with the use of the mouse driver, are available. All the data, peak area, peak height, etc. are also saved into the data file. After a calibration curve is produced, following the input of peak analysis data of known spiked samples, the drug concentration for each sample is estimated. These concentration-time data are also saved into the data file.(ABSTRACT TRUNCATED AT 250 WORDS)

Analog-Digital Conversion↗
PubMed1978

Computer program for intestinal basic electrical rhythm patterns analysis.

A FORTRAN program has been elaborated for computerized intestinal Basic Electrical Rhythm (BER) analysis. It is based on recognition of individual cycles limits. The reliability of the method was assessed by comparison between computer and visual cycle limits identification. The agreement is 98.2% for BER recorded from the frequency plateau. It is 91.4% for fluctuating BER patterns. For BER frequency computing, drawbacks due to misrecognitions were avoided by cancelling sequences in which they occur.

Computers↗
PubMed1987

Computer program for the parametric and nonparametric comparison of several groups to a control.

A BASIC program is described which, upon the input of raw data from an experiment comparing several treatment groups to a control, will output group parameters (mean, SEM), test for outliers in each group (maximum normalized residual test), and examine the homogeneity of variance (Bartlett's test). Subsequently, one-way ANOVA and Dunnett's multiple comparison test are performed. The user also has the option of examining the data by nonparametric means using the Kruskal-Wallis test and a nonparametric multiple comparison test (Dunn's test). As a convenience, the program contains algorithms to generate critical table values for all the tests employed.

Algorithms↗
PubMed1990

[Testing of a computer program model for the diagnosis of suspected acute coronary disease].

A computerized diagnostic system to be used in patients with acute chest pain was recently developed in our department, and was tested prospectively in 213 consecutive patients with acute chest pain. In our study, the computer system almost invariably improved the decision as to whether or not admission to the coronary care unit was necessary. Thus, compared with decisions made by the emergency room physicians the computer system would have reduced by approximately 75% the number of patients with acute myocardial infarction who are incorrectly referred to the general ward. The system would also have reduced by the same figure the number of cases wrongly placed in the coronary care unit. Thus, in patients admitted with acute chest pain, the use of our computerized system would have improved both diagnostic accuracy and correct referral of patients from the emergency room.

Chest Pain↗