Computer programs in biomedicine最新文献

We have developed a computer program for the calculation of the sedimentation coefficient of a macromolecule from the raw data collected from an analytical ultracentrifuge run. The program is written for the Apple II microcomputer and is capable of calculating the sedimentation coefficient at an infinite dilution from the data collected at varying concentrations.

The objective of this investigation was to find a method to automatically detect several types of abnormal EEG patterns which occurred during cardiac surgery. The EEGs were analyzed by means of several EEG processing and pattern recognition methods. It was found that a good classification into normal and abnormal EEG patterns was generally obtained if only two EEG features were used. The results of this investigation are of importance for implementing into a computer-based monitoring system for use during cardiac surgery.

The present FORTRAN program performs the nonparametric Terpstra-Jonckheere test of significance on ordered alternatives. The program is short, simple and easy to use and can be implemented on any machine including a desk-top microcomputer. When groups are ordered, the test provides more power than the Kruskal-Wallis H-test and similar multiple comparison tests.

We describe an operative system in BASIC language for data acquisition, storage and treatment of biological signals (action potential and transmembrane currents) in cardiac electropharmacology/physiology. The hardware includes a digital oscilloscope, a microprocessor, a X−Y Plotter and a disc unit. The operative system includes a main menu from which one can go directly to whatever program for data acquisition, storage, treatment and graphing.

The program described in this paper was originally designed to generate the (synthetic) stimuli required for a large class of psychoacoustic tests. In our opinion, however, it may also be of interest in other fields of biomedical information processing. The applied computational techniques are standard in the field of digital signal processing, but the program is particular in its way of presenting signals, executing window operations, and describing the decision blocks to be presented during a test. Each decision block is a succession of stimuli and pauses, presented to obtain one judgement from the subject.

A data retrieval and analysis system is described here which allows one to simplify and automate the collection of data for radioimmunoassays. The resulting data can be collected in a data summary format to provide the operator with clear, concise results. The software utilizes a Logit function to do regression analysis for results expressed in concentration of antibody, be it IgG, IgM or other, per milliliter of serum. This system allows the operator to do analysis on thousands of serum samples.

This paper deals with: (1) estimation of the optimum clinical trial size minimizing the total cost, given types I and II errors, α, β and response rate difference, δ: (2) studying the test performance by calculating the operating characteristic curve in case of available fixed total cost, (3) mapping the future course of the patient recruitment plan by estimating recruitment rate and final intake based on enrollment to date, (4) projecting the recruitment duration and probability of achieving the contracted goal in case the recruitment rate is well established.

An easy-to-use conversational program is described and illustrated for the statistical analysis of radioimmunoassays. Variations of expected counts with dose are described by a logistic model with four parameters. It is possible to take into account the dissymmetry of the calibration curve and the heteroscedasticity of the variance of the counts. Confidence intervals for unknowns are calculated according to a new method which is based on confidence intervals for functions of parameters.