Instrumentarium Oy

Mauri Vapola

Pekka Tuomo Merilainen

A method for recognizing and identifying emergency situations in an anesthesia system measures a plurality of variables associated with an anesthesia delivery, the measurement values of said measured variables are formed into pattern vectors characterizing the instantaneous states of the system, the system is trained prior to the actual measurement situation with a reference material comprising pattern vectors corresponding to actual situations, and on the basis of measured pattern vectors corresponding to actual situations, and on the basis of measured pattern vectors and trained material, the emergency situations are recognized and possibly identified. The reference material is trained to the system using self-organizing maps, and the pattern vectors formed from the measurement results are compared with weight vectors (m.sub.1) of the self-organizing map to recognize and identify the emergency situations.

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Espoo, Finland

Mauri Vapola