ISSN:
1432-1238
Keywords:
Trend Detection
;
Prediction
;
Patient Monitoring
;
Microprocessor
Source:
Springer Online Journal Archives 1860-2000
Topics:
Medicine
Notes:
Abstract An investigation has been carried out into the suitability of the following techniques for trend detection and forecasting in patient monitoring: Cusum; Trigg's Tracking Signal; The Patient Condition Factor; The Patient Alarm Warning System; Box-Jenkins models and the Harrison-Stevens Bayesian approach. The latter holds considerable promise since it is flexible and can be implemented on a microprocessor. Consideration has also been given to the need for a better knowledge of the statistical properties of the variables to be monitored and the problems of combining trends detected in severable variables.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01683184
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