Wrist-wearing type acute infarction disease heart symptom home early warning system

By synchronously adjusting the multi-channel signals of the wrist-worn early warning system and constructing a multi-factor dynamic comparison structure, the problem of untimely identification of abnormal features of myocardial infarction was solved, and the accurate location and high-confidence early warning of myocardial infarction precursors were achieved, improving the timeliness and stability of risk identification in home health monitoring.

CN122030976APending Publication Date: 2026-05-15NANTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANTONG UNIV
Filing Date
2025-12-19
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing wrist-worn early warning systems are prone to signal deviation or interference when making judgments based on multi-channel data linkage, resulting in untimely identification of abnormal features of myocardial infarction, failure to effectively correspond skin conductance and microblood flow data, and difficulty in adapting the threshold determination method to individual differences, thus affecting the risk prevention and control effect in home scenarios.

Method used

The skin conductance signal time axis is adjusted by the signal alignment module, the micro-blood flow sensor signal is synchronized, a synchronous reference frame structure is constructed, the characteristics of the ECG R-wave to T-wave curve are analyzed, the correlation of multi-channel characteristic parameters is identified, periodic events with consistent trends in three channels are screened, common trend identification sequences are statistically analyzed, the correlation of changes between signal nodes is judged, multi-channel trigger control signals are generated, and event responses are fed back.

Benefits of technology

It enables synchronous acquisition and unified timing processing of multi-channel signals, enhances the accuracy, timeliness, and stability of myocardial infarction precursor characteristics, and improves the high-confidence early warning capability of home health monitoring.

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Abstract

The invention relates to the technical field of intelligent early warning, in particular to a wrist-wearing type acute infarction disease heart symptom home early warning system which comprises a signal alignment module, a feature association module, a trend recognition module, a risk triggering module and an event feedback module, and based on an electric pulse signal waveform, the occurrence time node of an R wave is judged to serve as a reference. Synchronous acquisition and unified time sequence processing of multichannel signals are realized, electrocardiogram, skin conductance and micro blood flow data are integrated on the basis of the same cardiac reference point, a time window-oriented multi-factor dynamic comparison structure is constructed, the trend relationship among multiple parameters is identified through correlation analysis, and the accuracy of the comparison result is improved. A threatened characteristic period is accurately positioned by means of a common pattern screening mechanism, real-time monitoring and historical comparison are integrated in a feedback process, data cyclic utilization is enhanced, multi-source signal dynamic collaborative judgment is realized, the timeliness and stability of risk identification are further improved, and the high-confidence early warning requirement of home health monitoring is effectively met.
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