Literature DB >> 1919284

Automated real-time data acquisition and analysis of cardiorespiratory function.

R C Moorman1, C F Mackenzie, G H Ho, G M Barnas, P D Wilson, M J Matjasko.   

Abstract

Microcomputer generation of an automated record without complexity or operator intervention is desirable in many circumstances. We developed a microcomputer system specifically designed for simplified automated collection of cardiorespiratory data in research and clinical environments. We tested the system during possible extreme clinical conditions by comparison with a patient simulator. Ranges used were heart rate of 35-182 beats per minute, systemic blood pressures of 65-147 mmHg and venous blood pressures of 14-37 mmHg, all with superimposed respiratory variation of 0-24 mmHg. We also tested multiple electrocardiographic dysrhythmias. The results showed that there were no clinically relevant differences in vascular pressures, heart rate, and other variables between computer processed and simulator values. Manually and computer recorded physiological variables were compared to simulator values and the results show that computer values were more accurate. The system was used routinely in 21 animal research experiments over a 4 month period employing a total of 270 collection periods. The file system integrity was tested and found to be satisfactory, even during power failures. Unlike other data collection systems this one (1) requires little or no operator intervention and training, (2) has been rigorously tested for accuracy using a wide variety of extreme patient conditions, (3) has had computer derived values measured against a standardized reference, (4) is reliable against external sources of computer failure, and (5) has screen and printout presentations with quick and easily understandable formats.

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Year:  1991        PMID: 1919284     DOI: 10.1007/bf02916093

Source DB:  PubMed          Journal:  Int J Clin Monit Comput        ISSN: 0167-9945


  2 in total

1.  Comparison of four methods of automated recording of physiologic data at one minute intervals.

Authors:  P Gregorini
Journal:  J Clin Monit       Date:  1996-07

2.  Adequate interval for the monitoring of vital signs during endotracheal intubation.

Authors:  J Y Min; H I Kim; S J Park; H Lim; J H Song; H J Byon
Journal:  BMC Anesthesiol       Date:  2017-08-22       Impact factor: 2.217

  2 in total

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