Device for recognizing zone classification of anesthetic gas type and method thereof

Abstract

This invention discloses one paralyse gas type area sort identification device and method, wherein, the device uses multiple measurement filter slice and one reference filter to get multiple measurement signals and one reference signal to get signal to compute different concentration paralyse gas through each channel relative absorptive parameters; the relative absorptive parameter takes look of certain area polymer characters to establish two-dimensional or higher relative absorptive parameters coordinates according to the paralyse gas infrared property and to get each paralyse gas each relative map area.

Description

Technical field [0001] The present invention relates to the technical field of using optical means to test or analyze materials, and in particular to a method and device for identifying the type of anesthetic gas by using infrared light absorption characteristics. The method and device of the present invention are particularly suitable for automatically identifying the type of anesthetic gas in the patient's breathing mixed gas during surgical anesthesia, and can also be used for the detection of other industrial or medical mixed gas. Background technique [0002] At present, the measurement principle of gas concentration monitors in the field of medical equipment is based on non-dispersive infrared spectroscopy (NDIR, Non-Dispersive Infrared), that is, according to the absorption characteristics of a certain band of infrared light by the measured gas, select a specific band The infrared light passes through the gas sample, and the attenuation of the infrared light and the concen...

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Problems solved by technology

[0004] Since the Beer-Lambert law is only applicable to monochromatic light, and the filter has a certain bandwidth, it is difficult to filter light to meet the requirements of monochromatic light. The logarithm of the attenuation of light is a nonlinear correspondence; the matrix equation mentioned in the above-mentioned U.S. Patents 4,914,719, 5,046,018 5,231,591 is a nonlinear equation, and the solution of the nonlinear equation needs to use the second-order or above variables of N measurement signals ( See US Patents 5,046,018 and 5,231,591), while it is very difficult to solve matrix equations with multiple variables

It is also possible to solve the matrix equation into a linear equation by designing specific filter parameters (see US Patent No. 4,914,719), but designing such filter parameters is also complicated and is often limited by the production process

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