A conversational program for the acquisition of experimental data in a multi-user, multi-instrument computer system is described. It assists the researcher when recording on-time data. Due to the simple structure of the dialogue, no special knowledge of computer handling is required by the experimen
Automatic data reduction and processing for the cardiopulmonary research laboratory
β Scribed by Brian E. Arment; Lawrence S. Higgins; Cyril G. Peckham; William B. Hood Jr.
- Publisher
- Elsevier Science
- Year
- 1970
- Tongue
- English
- Weight
- 757 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0010-4809
No coin nor oath required. For personal study only.
β¦ Synopsis
This article describes a computer program for the semiautomatic reduction, computation, and presentation of the data obtained at cardiac catheterization. Included in this article are the results and correlations of manually reduced and computer calculated results from a series of human experiments. Details of the program are presented in sufficient depth to allow immediate implementation.
A continuing need for a more efficient means of handling the large quantity of data generated during a routine cardiac catheterization has prompted this report. Although this program was developed to handle data gathered during environmental stress, its generality makes it immediately adaptable to clinical use.
Reduction of the data obtained during the cardiopulmonary evaluation of a patient requires a large proportion of the physician's time. Errors increase with fatigue, and methods of checking for errors generally require duplication of the data reduction process.
To circumvent these problems, a semiautomatic process for data reduction and computation and a reduction quality control program have been developed. This program is most useful when the volume of data is less than would justify magnetic tape recording; or recording on a strip chart is preferred because of basic experimental design. Hence, it provides an intermediate capability between manual methods and complete automation.
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