Multi-Dimensional Feature Combination Method for Continuous Blood Pressure Measurement Based on Wrist PPG Sensor.

Area of Science:

• Biomedical Engineering
• Cardiovascular Health Technology
• Artificial Intelligence in Healthcare

Background:

• Cuff-less blood pressure (BP) monitoring using photoplethysmogram (PPG) is crucial for preventing cardiovascular and cerebrovascular events.
• Existing methods require robust algorithms for accurate feature extraction and prediction.
• Long-term, non-invasive BP monitoring is essential for wellness management and rehabilitation.

Purpose of the Study:

• To implement a portable BP prediction system utilizing feature combination and artificial neural networks (ANN).
• To enhance model robustness through adaptive peak extraction, multi-dimensional feature fusion, and ANN regression.
• To validate the system's accuracy and potential for daily BP monitoring.

Main Methods:

• An adaptive peak extraction algorithm was employed for precise detection of PPG signal peaks and troughs.
• Multi-dimensional features were extracted and fused, comprising three PPG-based feature sets and one demographics-based feature set.
• A two-layer feedforward artificial neural network (ANN) was utilized for BP regression analysis.

Main Results:

• The proposed cuff-less BP monitoring method successfully passed the European Society of Hypertension International Protocol revision 2010 (ESP-IP2).
• The system demonstrated high accuracy across a diverse population, with estimation errors of -0.07 ± 4.47 mmHg for systolic BP (SBP) and 0.00 ± 3.61 mmHg for diastolic BP (DBP).
• The model successfully tracked BP in two subjects for two weeks, establishing a foundation for continuous daily monitoring.

Conclusions:

• The developed portable BP prediction system offers a robust and accurate solution for cuff-less monitoring.
• This technology holds significant potential for long-term wellness management, early detection of health issues, and rehabilitation.
• The validated method paves the way for accessible, daily BP tracking and improved cardiovascular health outcomes.