Estimating blood pressure using Windkessel model on photoplethysmogram

Estimating blood pressure using Windkessel model on photoplethysmogram

Simple and non-invasive methods to estimate vital signs are very important for preventive healthcare. In this paper, we present a methodology to estimate Blood Pressure (BP) using Photoplethysmography (PPG). Instead of directly relating systolic and diastolic BP values with PPG features, our propose...

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Bibliographic Details
Published in:2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2014; pp. 4567 - 4570
Main Authors: Choudhury, Anirban Dutta, Banerjee, Rohan, Sinha, Aniruddha, Kundu, Shaswati
Format: Conference Proceeding Journal Article
Language:English
Published: United States IEEE 01-01-2014
Subjects:
Arterial Pressure
Arteries - physiopathology
Biomedical monitoring
Blood
Blood pressure
Blood Pressure Determination - methods
Compliance
Estimation
Feature extraction
Humans
Linear Models
Mathematical model
Models, Biological
Photoplethysmography - methods
Systole
Training
Vascular Resistance
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Summary:Simple and non-invasive methods to estimate vital signs are very important for preventive healthcare. In this paper, we present a methodology to estimate Blood Pressure (BP) using Photoplethysmography (PPG). Instead of directly relating systolic and diastolic BP values with PPG features, our proposed methodology initially maps PPG features with some person specific intermediate latent parameters and later derives BP values from them. The 2-Element Windkessel model has been considered in the current context to estimate total peripheral resistance and arterial compliance of a person using PPG features, followed by linear regression for simulating arterial blood pressure. Experimental results, performed on a standard hospital dataset yielded absolute errors of 0.78±13.1 mmHg and 0.59 ± 10.23 mmHg for systolic and diastolic BP values respectively. Results also indicate that the methodology is more robust than the standard methodologies that directly estimate BP values from PPG signal.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/EMBC.2014.6944640