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Published on: March 17, 2023
A Chair-Based Unconstrained/Nonintrusive Cuffless Blood Pressure Monitoring System Using a Two-Channel
Kwang Jin Lee1, Jongryun Roh2, Dongrae Cho3
1Deepmedi Research Institute of Technology, Deepmedi Inc., Seoul 06232, Korea. kjlee@deep-medi.com.
Insights
A novel chair-based system non-intrusively monitors blood pressure using polyvinylidene fluoride (PVDF) films. This method, utilizing instantaneous phase difference (IPD) and artificial neural networks (ANNs), offers more accurate readings than traditional pulse transit time (PTT) methods.
Area of Science:
- Biomedical Engineering
- Cardiovascular Health
- Sensor Technology
Background:
- Hypertension management requires continuous blood pressure monitoring.
- Existing cuff-based methods are cumbersome for patients.
- Current cuffless methods (e.g., PPG, ECG) require direct user contact and can suffer from signal degradation, impacting accuracy.
Purpose of the Study:
- To develop a non-intrusive, chair-type system for continuous blood pressure monitoring.
- To evaluate the efficacy of instantaneous phase difference (IPD) as a feature for blood pressure estimation.
- To compare the accuracy of IPD with pulse transit time (PTT) in a novel system.
Main Methods:
- Development of a chair-type system incorporating polyvinylidene fluoride (PVDF) films for non-intrusive sensing.
- Utilizing instantaneous phase difference (IPD) derived from sensor signals as the primary feature for blood pressure estimation.
- Employing an artificial neural network (ANN) model for blood pressure estimation based on IPD values.
Main Results:
- The developed chair-type system successfully monitored blood pressure non-intrusively.
- Instantaneous phase difference (IPD) demonstrated higher accuracy in blood pressure estimation compared to pulse transit time (PTT).
- The artificial neural network (ANN) model effectively utilized IPD for blood pressure prediction.
Conclusions:
- The proposed chair-type system offers a viable non-intrusive approach to blood pressure monitoring.
- IPD is a more robust feature than PTT for accurate blood pressure estimation in this context.
- This technology holds promise for improved hypertension management and patient compliance.
Abstract:
Hypertension is a well-known chronic disease that causes complications such as cardiovascular diseases or stroke, and thus needs to be continuously managed by using a simple system for measuring blood pressure. The existing method for measuring blood pressure uses a wrapping cuff, which makes measuring difficult for patients. To address this problem, cuffless blood pressure measurement methods that detect the peak pressure via signals measured using photoplethysmogram (PPG) and electrocardiogram (ECG) sensors and use it to calculate the pulse transit time (PTT) or pulse wave velocity (PWV) have been studied. However, a drawback of these methods is that a user must be able to recognize and establish contact with the sensor. Furthermore, the peak of the PPG or ECG cannot be detected if the signal quality drops, leading to a decrease in accuracy. In this study, a chair-type system that can monitor blood pressure using polyvinylidene fluoride (PVDF) films in a nonintrusive manner to users was developed. The proposed method also uses instantaneous phase difference (IPD) instead of PTT as the feature value for estimating blood pressure. Experiments were conducted using a blood pressure estimation model created via an artificial neural network (ANN), which showed that IPD could estimate more accurate readings of blood pressure compared to PTT, thus demonstrating the possibility of a nonintrusive blood pressure monitoring system.
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