Paper Info
Title
Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves.
Abstract
Photoplethysmography (PPG) is a widely available non-invasive optical technique to visualize pressure pulse waves (PWs). Pulse transit time (PTT) is a physiological parameter that is often derived from calculations on ECG and PPG signals and is based on tightly defined characteristics of the PW shape. PPG signals are sensitive to artefacts. Coughing or movement of the subject can affect PW shapes that much that the PWs become unsuitable for further analysis. The aim of this study was to develop an algorithm that automatically and objectively eliminates unsuitable PWs. In order to develop a proper algorithm for eliminating unsuitable PWs, a literature study was conducted. Next, a '7Step PW-Filter' algorithm was developed that applies seven criteria to determine whether a PW matches the characteristics required to allow PTT calculation. To validate whether the '7Step PW-Filter' eliminates only and all unsuitable PWs, its elimination results were compared to the outcome of manual elimination of unsuitable PWs. The '7Step PW-Filter' had a sensitivity of 96.3% and a specificity of 99.3%. The overall accuracy of the '7Step PW-Filter' for detection of unsuitable PWs was 99.3%. Compared to manual elimination, using the '7Step PW-Filter' reduces PW elimination times from hours to minutes and helps to increase the validity, reliability and reproducibility of PTT data.
Year
DOI
Venue
2017
10.1007/s11517-017-1642-x
Med. Biol. Engineering and Computing
Keywords
Field
DocType
Photoplethysmography (PPG),Pressure pulse waves (PWs),Pulse transit time (PTT),Algorithm
Computer vision,Reproducibility,Photoplethysmogram,Pulse Transit Time,Pulse (signal processing),Artificial intelligence,Mathematics,Pulse Wave Analysis
Journal
Volume
Issue
ISSN
55
11
0140-0118
Citations 
PageRank 
References 
4
0.54
6
Authors
4
Name
Order
Citations
PageRank
Marit H. N. van Velzen140.54
Arjo J. Loeve281.78
Sjoerd P. Niehof340.54
Egbert G. Mik440.54