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Protocol for a Radial Pulse-Based Vascular Age Index Integrated with Traditional Korean Medicine Pulse Diagnosis
1Department of Sasang Constitutional Medicine, College of Korean Medicine, Sangji University, Wonju, Republic of Korea.
Insights
This study introduces a new radial pulse-based vascular age index (RP-VAI) to assess cardiovascular risk. The RP-VAI integrates traditional Korean medicine pulse diagnosis with modern biomedical analysis for accessible vascular aging evaluation.
Area of Science:
- Cardiovascular Health
- Biomedical Signal Processing
- Integrative Medicine
Background:
- Vascular aging is a key factor in cardiovascular risk, often measured by pulse wave velocity (PWV).
- Current PWV methods require specialized equipment, limiting routine clinical use.
- Radial artery pulse wave analysis and traditional Korean medicine (TKM) pulse diagnosis offer alternative assessments but lack integration.
Purpose of the Study:
- To develop and validate a radial pulse-based vascular age index (RP-VAI).
- To assess the association of RP-VAI with conventional vascular aging markers (e.g., cfPWV).
- To explore the relationship between RP-VAI and TKM pulse characteristics.
Main Methods:
- Prospective observational study utilizing bilateral radial pulse signal acquisition.
- Extraction of time-domain, morphological, and spectral features from pulse signals.
- Development of a vascular age prediction model using regression and machine learning, alongside TKM pulse diagnosis by practitioners.
Main Results:
- Establishment of a novel integrative vascular aging index (RP-VAI).
- Validation of RP-VAI against established vascular aging metrics.
- Demonstration of RP-VAI's association with TKM pulse features.
Conclusions:
- The RP-VAI offers a novel, integrative approach to vascular age assessment.
- This index bridges traditional pulse diagnosis with modern biomedical analysis.
- RP-VAI may provide an accessible tool for comprehensive vascular aging evaluation.
Objectives:
Vascular aging, a central determinant of cardiovascular risk, is commonly assessed by pulse wave velocity (PWV)-based indices such as carotid-femoral PWV (cfPWV). However, these methods are not always feasible in routine or integrative clinical settings, requiring specialized equipment. Radial artery pulse wave analysis has emerged as a non-invasive alternative for estimating vascular age, while traditional Korean medicine (TKM) pulse diagnosis provides a qualitative assessment of vascular and systemic conditions. Despite the conceptual overlap, integration of modern vascular metrics with TKM pulse diagnosis remains limited. This study aims to develop and validate a radial pulse-based vascular age index (RP-VAI) and investigate its association with conventional vascular aging markers and TKM pulse characteristics.
Methods:
A prospective observational study will be conducted, with all measurements performed in an examination room at a Korean medicine hospital. Radial pulse signals will be acquired bilaterally at the wrist, including traditional palpation sites (chon, gwan, and cheok). Signal processing will extract time-domain, morphological, and spectral features. A vascular age prediction model will be developed using multiple linear regression and machine learning. TKM pulse diagnosis will be independently assessed by trained practitioners. The associations between RP-VAI, PWV-based indices, and TKM pulse features will be analyzed.
Expected Outcomes:
The study is expected to establish a novel integrative vascular aging index that bridges biomedical signal analysis and traditional pulse diagnosis, enabling a more comprehensive assessment of aging-related vascular changes.
Conclusion:
This study will establish and validate the RP-VAI, an integrative index, which may serve as an accessible tool for assessing vascular aging by bridging traditional pulse diagnosis with modern biomedical analysis.
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