Title
Unobtrusive Estimation of Cardiovascular Parameters with Limb Ballistocardiography.
Abstract
This study investigates the potential of the limb ballistocardiogram (BCG) for unobtrusive estimation of cardiovascular (CV) parameters. In conjunction with the reference CV parameters (including diastolic, pulse, and systolic pressures, stroke volume, cardiac output, and total peripheral resistance), an upper-limb BCG based on an accelerometer embedded in a wearable armband and a lower-limb BCG based on a strain gauge embedded in a weighing scale were instrumented simultaneously with a finger photoplethysmogram (PPG). To standardize the analysis, the more convenient yet unconventional armband BCG was transformed into the more conventional weighing scale BCG (called the synthetic weighing scale BCG) using a signal processing procedure. The characteristic features were extracted from these BCG and PPG waveforms in the form of wave-to-wave time intervals, wave amplitudes, and wave-to-wave amplitudes. Then, the relationship between the characteristic features associated with (i) the weighing scale BCG-PPG pair and (ii) the synthetic weighing scale BCG-PPG pair versus the CV parameters, was analyzed using the multivariate linear regression analysis. The results indicated that each of the CV parameters of interest may be accurately estimated by a combination of as few as two characteristic features in the upper-limb or lower-limb BCG, and also that the characteristic features recruited for the CV parameters were to a large extent relevant according to the physiological mechanism underlying the BCG.
Year
DOI
Venue
2019
10.3390/s19132922
SENSORS
Keywords
Field
DocType
ballistocardiography,ballistocardiogram,blood pressure,stroke volume,cardiac output,total peripheral resistance,photoplethysmography,photoplethysmogram
Biomedical engineering,Stroke volume,Accelerometer,Photoplethysmogram,Electronic engineering,Bayesian multivariate linear regression,Engineering,Cardiac output,Ballistocardiography
Journal
Volume
Issue
ISSN
19
13.0
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Yang Yao100.34
Sungtae Shin200.68
Azin Mousavi300.68
Chang-Sei Kim4119.46
Lisheng Xu517839.09
Ramakrishna Mukkamala67616.60
Jin-Oh Hahn7266.10