Detection method for combined variability index of cardiovascular system

By employing multi-channel synchronous acquisition, adaptive filtering, timestamp alignment, and individualized weight allocation, the problems of temporal mismatch and individual adaptation in the detection of joint variability indicators of the cardiovascular system were solved. This approach enabled high signal-to-noise ratio synchronous fusion of physiological signals and reliable data storage, thereby improving the accuracy and security of cardiovascular system status monitoring.

CN122056571APending Publication Date: 2026-05-19SHANXI PROVINCIAL PEOPLES HOSPITAL (AFFILIATED HOSPITAL OF SHANXI HEALTH VOCATIONAL COLLEGE)
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Patent Information

Application Number
CN202610106673.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-27
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

In the detection of combined variability indicators in the cardiovascular system, the temporal mismatch, dimensional differences, insufficient individual adaptation, and lack of continuity of historical data of multi-source physiological signals affect the accuracy of signal processing and clinical applicability.

Method used

Signals were acquired synchronously using a multi-channel physiological signal acquisition device. An adaptive filtering algorithm was used for noise reduction and baseline correction. A timestamp alignment mechanism was used to map the signal to a unified sliding window. Combined with the dynamic weight allocation and weighted fusion strategy of individual physiological parameters, the sliding window length was adaptively adjusted and a multilayer perceptron model was used for evaluation. AES-256 encryption and SHA3-256 hash chain were used to construct physiological records.

Benefits of technology

It achieves temporal consistency and individual adaptability of multi-source physiological signals, improves the physiological interpretability and clinical applicability of combined variability indicators, ensures data integrity and immutability, and enhances the accuracy and safety of cardiovascular system status monitoring.

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Abstract

The invention discloses a cardiovascular system joint variability index detection method which comprises the following steps: synchronously acquiring an electrocardiosignal, an arterial blood pressure signal and a respiratory signal through a multi-channel physiological signal acquisition device, and carrying out denoising and baseline correction on each signal by adopting a self-adaptive filtering algorithm to obtain a preprocessed multi-modal signal sequence; respectively extracting a heart rate variability time domain index, a blood pressure variability frequency domain index and a breath variability nonlinear index according to the multi-modal signal sequence, mapping the three indexes into a unified sliding window by adopting a timestamp alignment mechanism, and generating an aligned variability feature set; performing Z-score-based standardization processing on the variability feature set, and constructing a dynamic weight distribution matrix in combination with individual physiological parameters; the objective of the invention is to solve the problems of time sequence mismatch, dimension difference, insufficient individual adaptation and historical data continuity deficiency in the process of acquisition, synchronization, feature extraction and fusion of multi-source physiological signals in the prior art.
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