On-Line Estimation in The Control of Post-Operative Pain

Autor: O.L.R. Jacobs, M. P. Reasbeck, R.E.S. Bullingham, H. J. McQuay
Rok vydání: 1982
Předmět:
Zdroj: IFAC Proceedings Volumes. 15:289-294
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)63003-9
Popis: The paper arises from collaborative work to explore contributions which the technology of control engineering can make to pain-control. Pain is modelled as the difference between discomfort and comfort and is measured by the frequency at which the patient presses a button. Clinical trials of an automatic pain-control system have shown that a general-purpose microcomputer can be used to control on-demand analgesia for patients recovering from major surgery. The paper describes on-line estimation of significant variables, including comfort, discomfort and relief. Simulation results indicate that use of these estimates in a separated stochastic control scheme can give improved quality of pain-control. Measurement by patient-demand is inherently non-linear because no demand is made when comfort exceeds discomfort: the estimator cascades a Bayes' rule algorithm, which handles this non-linearity, with a conventional extended Kalman filter.
Databáze: OpenAIRE