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Method for recognizing and identifying emergency situations in an anesthesia system by means of a self-organizing map

机译:通过自组织图识别和识别麻醉系统中紧急情况的方法

摘要

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.
机译:一种用于识别和识别麻醉系统中紧急情况的方法,该方法测量与麻醉输送相关的多个变量,所述测量变量的测量值形成表征系统瞬时状态的模式向量,在进行系统训练之前对系统进行训练。使用包括与实际情况相对应的模式向量的参考材料的实际测量情况,并基于与实际情况相对应的测量的模式向量,并根据测量的模式向量和受过训练的材料,识别并可能识别紧急情况。使用自组织图将参考资料训练到系统中,并将测量结果形成的模式向量与自组织图的权重向量(m.sub.1)进行比较,以识别和识别紧急情况。

著录项

  • 公开/公告号US5584291A

    专利类型

  • 公开/公告日1996-12-17

    原文格式PDF

  • 申请/专利权人 INSTRUMENTARIUM OY;

    申请/专利号US19940217889

  • 发明设计人 MAURI VAPOLA;PEKKA MERILAINEN;

    申请日1994-03-25

  • 分类号A61B5/00;

  • 国家 US

  • 入库时间 2022-08-22 03:10:57

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