Multi-modal high altitude reaction dynamic grading evaluation system and method based on wearable device

By integrating multimodal sensors and the LightTS framework for time-series modeling, the problems of single physiological parameters and insufficient environmental perception in altitude sickness assessment are solved. This enables individualized, continuous, and interpretable dynamic hierarchical assessment of altitude sickness on wearable devices, improving the accuracy and stability of the assessment.

CN122398233APending Publication Date: 2026-07-17BEIJING JIUSAN YOUFANG INTERNET OF THINGS TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING JIUSAN YOUFANG INTERNET OF THINGS TECH CO LTD
Filing Date
2026-05-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for assessing altitude sickness suffer from limited physiological parameters, insufficient integration of environmental perception and physiological factors, lack of individualized modeling, and performance conflicts due to computational constraints. These issues lead to inaccurate assessment results and the inability to achieve continuous monitoring.

Method used

The wearable device-based multimodal dynamic grading assessment system for altitude sickness integrates multimodal sensors to collect physiological signals and environmental parameters, combines a lightweight time-series discrimination module (LightTS framework) for time-series modeling, and introduces individual physiological baseline perception and environmental correction factors to achieve comprehensive perception and dynamic grading assessment of the respiratory-circulatory-oxygenation coupling relationship.

Benefits of technology

It enables the accurate capture of dynamic risk characteristics of altitude sickness under the constraints of limited computing power and power consumption of wearable devices, reduces the false alarm rate, and provides individualized, continuous, and interpretable altitude sickness classification assessment, providing reliable protection for high-altitude tourism and emergency rescue.

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Abstract

本发明公开了基于可穿戴设备的多模态高原反应动态分级评估系统及方法,属于健康状态监测技术领域,解决了现有技术评估时存在生理参数维度单一,环境感知与生理融合不足,个体差异化建模缺失的问题,系统包括多模态信号采集模块、时序对齐与窗口化处理模块、轻量化时序判别模块、生理耦合特征构建模块及状态分级判定模块;本发明中,通过集成多模态信号,实现了对呼吸‑循环‑氧合耦合关系的全方位感知;通过LightTS框架与多尺度时空残差编码,在可穿戴设备有限的算力与功耗约束下,仍能精准捕捉血氧持续下降、呼吸代偿异常等动态风险特征;此外,结合环境修正因子与状态稳定性约束使得系统在复杂高原环境下仍能保持低误报率与高稳定性。
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