Hardware cooperation-based multi-modal monitoring method, system, device and storage medium

Abstract

The application relates to the field of medical monitoring, and discloses a multi-modal monitoring method, system and device based on hardware cooperation and a storage medium. The method comprises the following steps: after power-on, quickly starting core monitoring, supporting hot plug and plug-and-play access of medical equipment; multi-source access, clock synchronization and resampling are performed to construct a unified time axis, and disconnection merging is supported; motion features are extracted to drive adaptive anti-interference, and the authenticity of abnormalities is identified; based on redundant observation and space-time alignment, parameter weighted fusion is performed through consistency analysis, low-quality channels are intelligently judged and shielded; an event trigger point is captured, a holographic structured event package is packaged, and a bidirectional index is built; a full-time sequence evolution view is constructed, correlation attribution and trend early warning are performed, and an optimization algorithm is fed back through playback and review. The application solves the problems of low data quality, uninterpretable alarms and missing traceability in an extreme dynamic environment, and meets the requirements of high-quality monitoring and rapid decision-making of pre-hospital emergency.