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Simplified single neuron model for robust local pulse wave velocity sensing using a tetherless bioimpedance device.
Sungcheol Hong1, Chin-To Hsiao1, Gerard L Cote2
1Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA; Center for Remote Health Technologies and Systems, Texas A&M Engineering Experiment Station, College Station, TX, 77843, USA.
This study introduces a novel bioimpedance model to accurately measure Pulse Wave Velocity (PWV) for cardiovascular health monitoring. The improved method enhances the reliability of Pulse Transit Time (PTT) estimations for arterial stiffness and blood pressure.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Signal Processing
Background:
- Pulse arrival time (PAT), pulse transit time (PTT), and pulse wave velocity (PWV) are crucial for cardiovascular assessment.
- Existing bioimpedance methods for PTT/PWV estimation have mathematical inaccuracies.
- Current sensing methods include ECG-PPG, dual PPG, or dual bioimpedance (BioZ).
Purpose of the Study:
- To address mathematical inaccuracies in prior bioimpedance PTT/PWV methods.
- To develop a more accurate and stable PWV estimation model using weighted PTT segments.
- To introduce a tetherless bioimpedance device for PTT and PWV measurement.
Main Methods:
- Developed a single neuron model incorporating PTT weights (peak-peak, middle-middle, foot-foot) for PWV calculation.
- Utilized a novel tetherless bioimpedance device for data acquisition.
- Compared PTT estimation approaches across six subjects and two arteries (brachial and radial).
Main Results:
- Identified optimal PTT weights for brachial artery (0.260, 0.704, 0.036) and radial artery (0.104, 0.858, 0.038).
- Achieved stable PWV values: brachial artery (5.2-5.9 m/s), radial artery (5.8-6.6 m/s).
- Demonstrated consistent and reliable PTT and PWV measurements across repetitions.
Conclusions:
- The proposed model offers enhanced accuracy and stability in PWV estimation.
- This system provides a more reliable method for monitoring cardiovascular health indicators.
- Potential for improved cuffless blood pressure monitoring and arterial stiffness assessment.
