A digital simulator for ams risk assessment

Abstract

The invention discloses a digital simulator for AMS risk assessment, comprising a crowd simulation module, a measurement interference simulation module and an AMS risk assessment module; data, creating simulated populations with different hypoxic tolerance; measurement interference simulation module for simulating SpO 2 The measurement interference and deep breathing physiological interference in the information, and the simulated interference signal is superimposed on the SpO2 of the simulated population 2 On the generated curve; the AMS risk assessment module acquires indicators for assessing AMS risks, which are designed based on the parameters of the identified model and are used to characterize the real hypoxic adaptability of different virtual populations; the present invention can be used for AMS risk assessment algorithm research to obtain Richer research data and effective and reliable AMS risk assessment.

Description

A digital simulator for AMS risk assessment technical field The invention belongs to the technical field of acute altitude sickness test and assessment, be specifically related to a kind of risk assessment for AMS digital simulator. Background technique [0002] Some people experience headaches, nausea, Discomfort symptoms such as vomiting and insomnia are collectively referred to as acute mountain sickness. AMS). The reason for this phenomenon is that the oxygen concentration and atmospheric pressure in the plateau environment are too low, which makes people It is difficult to guarantee a normal healthy life in the plateau area. In order to prove the correlation between the adaptability and the various factors under the high altitude hypoxia of the human body, many scholars have and degree (SpO 2 ), heart rate, blood pressure and other physiological factors have been extensively studied, however most studies The hypoxia adaptability of the physiological par...

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Problems solved by technology

In the plateau environment, the subjects will suffer a lot of physical pain, and the severe ones face life-threatening, and the experiment needs to consume a lot of manpower and material resources, and the high cost makes it difficult to continue the research; on the other hand, the algorithm design of AMS risk assessment A large amount of data support is required to ensure its high accuracy. Due to the limitation of objective conditions, this experiment cannot be carried out on a large scale, making it difficult to obtain data

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