scholarly journals Ballistocardiogram as Proximal Timing Reference for Pulse Transit Time Measurement: Potential for Cuffless Blood Pressure Monitoring

2015 ◽  
Vol 62 (11) ◽  
pp. 2657-2664 ◽  
Author(s):  
Chang-Sei Kim ◽  
Andrew M. Carek ◽  
Ramakrishna Mukkamala ◽  
Omer T. Inan ◽  
Jin-Oh Hahn
Keyword(s):  
Blood Pressure ◽  
Transit Time ◽  
Blood Pressure Monitoring ◽  
Pulse Transit Time ◽  
Time Measurement ◽  
Pressure Monitoring ◽  
Cuffless Blood Pressure ◽  
Transit Time Measurement

scholarly journals A Chair-Based Unconstrained/Nonintrusive Cuffless Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 595 ◽  
Author(s):  
Kwang Lee ◽  
Jongryun Roh ◽  
Dongrae Cho ◽  
Joonho Hyeong ◽  
Sayup Kim
Keyword(s):  
Blood Pressure ◽  
Monitoring System ◽  
Polyvinylidene Fluoride ◽  
Blood Pressure Monitoring ◽  
Blood Pressure Measurement ◽  
Type System ◽  
Pulse Transit Time ◽  
Pressure Monitoring ◽  
Estimation Model ◽  
Cuffless Blood Pressure

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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