A knowledge-based support system for mechanical ventilation of the lungs. The KUSIVAR concept and prototype

Rudowski, Robert; Frostell, Claes; Gill, H. S.

doi:10.1016/0169-2607(89)90123-5

Cited by 33 publications

(14 citation statements)

References 9 publications

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“…Microcomputer-based automatic feedback control systems for conventional (volumecontrolled) ventilators have been developed [5,6], and the use of anifical intelligence and expert system techniques has also been studied for these ventilators [7,8]. Similar techniques have been applied to the problem of neonatal ventilation [9,10].…”

Section: Discussionmentioning

confidence: 99%

Abstracts

Korzeniewski¹,

Lang²,

Grant³

et al. 1991

Can J Anaesth

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Section: Discussionmentioning

confidence: 99%

Abstracts

Korzeniewski¹,

Lang²,

Grant³

et al. 1991

Can J Anaesth

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“…In the field of mechanical ventilation, many systems using Artificial Intelligence techniques have been proposed such as VM [4], VQ-ATTENDING [5], ESTER [6], KUSIVAR [7] and COMPASS [8]. Each system has its own characteristics.…”

Section: Introductionmentioning

confidence: 99%

A knowledge-based system for assisted ventilation of patients in intensive care units

Dojat

Brochard²,

Lemaire³

et al. 1992

J Clin Monit Comput

119

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To cite this version:Michel Dojat, Laurence Brochard, François Lemaire, Alain Harf. A knowledge-based system for assisted ventilation of patients in intensive care units.. International Journal of Clinical Monitoring and Computing, Springer Verlag, 1992, 9 (4), pp.239-50. Dojat et al. International Journal of Clinical Monitoring and Computing. 1992;9:239-250 AbstractThe procedure for weaning a patient with respiratory insufficiency from mechanical ventilation may be complex and requires expertise obtained by long clinical practice. We designed a knowledge-based system for the management of patients receiving respiratory support and implemented a weaning procedure. The system is intended for patients whose spontaneous respiratory activity is assisted by a Hamilton Veolar ventilator delivering a positive pressure plateau during inspiration (Pressure Support Ventilation mode). Our closed-loop real-time system running on a Personal Computer continuously adapts the assistance provided by the ventilator to the patient's evolution, and indicates when the patient can be withdrawn from the ventilator. Three parameters are used to appreciate the "respiratory comfort" of the patient: breathing frequency, which we consider the most informative index, tidal volume and end-tidal CO 2 pressure. A preliminary study of 19 patients was performed to evaluate the ability of our system to adapt the assistance to the patient's needs, with the main objective of facilitating weaning by gradually lowering the level of assistance. In 10 of these patients, considered as good candidates for weaning on the strength of objective criteria, the system maintained the breathing pattern in a zone of comfort for 95% of the period of assisted ventilation and stated that they were "weanable". This was consistent with the clinical evolution of all 10 patients. These results show that such a system can provide effective management for mechanically ventilated patients.

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“…This system used clinical guidelines to treat ARDS patients in several ventilator modes including assist/control (AC), continuous positive airway pressure (CPAP), pressure-controlled-inverted ratio ventilation (PC-IRV), IMV, and positive pressure ventilation with extracorporeal carbon dioxide removal (ECCO 2 R). This was followed by the introduction of another rule-based system that used statistical models of different patient groups to determine ventilatory settings (Rudowski et al, 1989). Another rule-based system for weaning patients from mechanical ventilation was presented a few years later (Tong, 1991).…”

Section: An Overview Of Various Idsss For Mechanical Ventilationmentioning

confidence: 99%

Computerized Decision Support Systems for Mechanical Ventilation

Tehrani¹

2011

Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain

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A knowledge-based support system for mechanical ventilation of the lungs. The KUSIVAR concept and prototype

Cited by 33 publications

References 9 publications

Abstracts

Abstracts

A knowledge-based system for assisted ventilation of patients in intensive care units

Computerized Decision Support Systems for Mechanical Ventilation

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