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Research on coupling relationship between ECG and PW signal in the cardiovascular system
Insights
This study introduces a new method to analyze the coupling relationship between Electrocardiogram (ECG) and Pulse Wave (PW) signals. Findings show weaker PW synchronization with ECG in older adults, aligning with clinical observations.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Signal Processing
Background:
- Cardiovascular disease (CVD) is a leading global cause of death.
- Understanding cardiovascular system function is critical for disease management.
Purpose of the Study:
- To propose parameters for characterizing the coupling relationship between ECG and PW signals.
- To further explore the functional information derived from cardiovascular system signals.
Main Methods:
- Synchronous detection of ECG and PW signal peaks using Empirical Mode Decomposition (EMD).
- Analysis of signal intervals across different age groups.
- Calculation of Euclidean distance to quantify the coupling relationship.
Main Results:
- Experimental results from 20 subjects indicated higher coupling parameters in the older group compared to the younger group.
- Weaker synchronization and consistency of PW following ECG were observed in older adults.
- Results align with established clinical understanding of age-related cardiovascular changes.
Conclusions:
- The proposed coupling relationship parameters offer a quantifiable representation of cardiovascular system dynamics.
- This approach provides insights into age-related alterations in cardiovascular signal coupling.
Background:
Cardiovascular disease (CVD) has become the main cause of morbidity and mortality world-wide.
Objective:
In order to obtain the potential function of cardiovascular system information further, the parameters of the coupling relationship between Electrocardiogram (ECG) signal and Pulse Wave (PW) signal are proposed.
Methods:
In this paper, we detected the peaks of ECG and PW signal synchronously from the Fantasia database using Empirical Mode Decomposition (EMD) algorithm, and analyzed the interval between different age groups in the same domain, then calculating the Euclidean distance to characterize the coupling relationship.
Results:
Via the experimental results of 20 subjects, the parameters of the old group were always larger than the young group. Thus the synchronization and consistency for PW following the ECG are weaker than the young group, which is in keeping with the clinical rule.
Conclusions:
The conclusion is that there is a certain representation for the cardiovascular system with the coupling relationship parameter proposed.
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