A system for assessing ams risk based on iht dynamic performance

Abstract

The invention provides a system for assessing AMS risk based on IHT dynamic performance, including a data acquisition module, a data processing module, a robust enhancement module and an AMS severity monitor; the data acquisition module acquires SpO from multiple continuous IHT cycles 2 information; the data processing module acquires SpO 2 The information is subjected to abnormal value processing, filtering and data segment division, and the hypoxic data segment is selected; the index acquisition module obtains the dynamic blood oxygen saturation index DSI of the hypoxic data segment, and DSI is SpO 2 The duration of keeping above the set ratio is denoted as τ i ; Robust enhancement module for the dynamic blood oxygen saturation index τ i Perform robustness enhancement to obtain the index τ r ; AMS severity monitor, based on a pre-set baseline value and the τ r To compare and realize the evaluation of AMS. The present invention utilizes the dynamic process of human hypoxic stress response reflected by the continuous physiological information in IHT, and proposes a new AMS predictive index DSI system.

Description

technical field [0001] The invention relates to a system for evaluating AMS risk based on IHT dynamic performance, and belongs to the technical field of prediction and evaluation of acute mountain sickness. Background technique [0002] Acute mountain sickness (AMS) is a special manifestation of insufficient hypoxia tolerance. This common altitude sickness symptom is caused by thin oxygen and low air pressure. People who have no experience of adapting to the plateau environment will have related symptoms when they suddenly enter the plateau, including headache, insomnia, anorexia and so on. Although acute mountain sickness acts as a hypoxic stress response to help the body adapt to the changing environment and establish a new homeostasis, the sustained response seriously affects people's life at high altitudes. [0003] In the field of sports, intermittent hypoxia training (IHT) is a very popular training method, which can improve athletes' sports performance and reduce th...

AI Technical Summary

Problems solved by technology

However, this method of diagnosis is subjective and will be misdiagnosed if the tester denies relevant symptoms

[0006] 3) Static physiological indicators are difficult to predict accurately

However, these static indicators are highly refined and difficult to reflect the dynamic process

[0007] 4) Existing prediction methods are difficult to accurately predict AMS in real time

As the current internationally recognized diagnostic standard for acute mountain sickness, LLS has been widely used, but it is also limited by the long evaluation cycle and subjectivity, making it difficult to diagnose and evaluate accurately in a timely manner

Static physiological indicators but contain highly refined hypoxic stress response information, susceptible to unavoidable perturbations in experiments

Due to differences in experimental design, experimental subject selection criteria, poster height, etc., it is also possible to get the opposite diagnostic conclusion

Images