Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves.

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 shap...

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Published in:Medical & Biological Engineering & Computing Vol. 55; no. 11; pp. 1989 - 2001
Main Authors: Velzen, Marit, Loeve, Arjo, Niehof, Sjoerd, Mik, Egbert, van Velzen, Marit H N, Loeve, Arjo J, Niehof, Sjoerd P, Mik, Egbert G
Format: research tables/charts Journal Article
Published: Springer Nature Nov2017
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11517-017-1642-x
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        atl: Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves.
      aug:
        au:
          Velzen, Marit
          Loeve, Arjo
          Niehof, Sjoerd
          Mik, Egbert
          van Velzen, Marit H N
          Loeve, Arjo J
          Niehof, Sjoerd P
          Mik, Egbert G
        affil: Department of Anesthesiology, Laboratory of Experimental Anesthesiology , Erasmus University Medical Center , Room Ee2381 3000 CA Rotterdam The Netherlands
      sug:
        subj:
          Heart Rate Physiology
          Plethysmography Methods
          Diagnosis, Cardiovascular Methods
          Male
          Female
          Adult
          Pulse Methods
          Young Adult
          Artifacts
          Algorithms
          Sensitivity and Specificity
          Reproducibility of Results
          Human
          Adult: 19-44 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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