A microcomputer for analysis of continuous flow analyser chart recordings

  • J. D. Henderson
  • E. M. Johnston
Article
  • 27 Downloads

Abstract

A microprocessor-based instrument has been developed to assist in the processing of continuous flow analyser chart recordings. After the identification of peaks by an operator, the microcomputer applies baseline correction, performs a logarithmic transformation, scales according to prescribed standards and prints a final result.

The instrument meets a processing need between the requirements of large computer-controlled systems and those of small analysers using manual methods of chart analysis. Economy is achieved by combining the peak identification skills of a human operator with the superior computational performance of the microprocessor. It has been found in the analysis of laboratory recordings that use of this instrument has resulted in a lower chart-processing error rate which is attributed to the reduction of operator tasks.

Key words

Clinical laboratory continuous flow analyser Semi-automatic chart reader 

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References

  1. Moore, G. E. (1976) Microprocessors and integrated electronic technology.Proc. IEEE.,64, 837–841.CrossRefGoogle Scholar
  2. Smith, M. B. andBraidwood, J. L. (1975) The use of microminicomputers in clinical chemistry: online operation with the SMA 12-60.Clin. Biochem.,8, 320–340.CrossRefGoogle Scholar
  3. Slutsky, A. S. (1974) An offline system for computer analysis of auto analyser charts.Clin. Biochem.,7, 5–13.CrossRefGoogle Scholar
  4. Willard, Merritt andDean (1965)Instrumental methods of analysis p. 90. Van Nostrand Reinhold.Google Scholar

Copyright information

© IFMBE 1980

Authors and Affiliations

  • J. D. Henderson
    • 1
    • 2
  • E. M. Johnston
    • 1
    • 2
  1. 1.Department of Medical Physics and Biomedical EngineeringAucklandNew Zealand
  2. 2.Department of Clinical ChemistryAuckland HospitalAucklandNew Zealand

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