Extracting clinically relevant information from pulse oximetry traces

Authors

  • Graham Wright Research Professor Walter Sisulu University Faculty of Health Sciences Mthatha South Africa
  • Jose Luis Hernandez Caceres Diez de Octubre Medical Faculty, Havana University of Medical Sciences, Havana

DOI:

https://doi.org/10.12856/JHIA-2017-v4-i1-182

Abstract

Cardiovascular assessment is necessary, yet unafordable for large population groups worlwide. Here we illustrate how signals obtained from standard oximeters can provide reliable estimates for transit time, a measure associated to vascular stiffness, as well as complexity measures derived from Recursive plot analysis.  The salient features of our research were: 1) The possibility to use  of photoplethysmographic (PPG) signals as a surrogate for transit time estimation; 2)The use of PPG signals for HRV analysis; 3)The possibility to use 2-min PPG recordings for cardiovascular estimation; 4)The proposal of a new vascular age estimator. An automated algorithm for estimating transit time from the PPG waveform yielded a strong association with age (r=0.80). All indices obtained from Recurrent Plot analysis of tachograms with PPG signals exhibited a high correlation with subject´s age. On the basis of the estimated indices a new estimator for cardiovascular age has been introduced, which exhibited a high correlation with age (r=0.97). Thus we concluded that PPG signals do retain information about cardiovascular age. This is evidenced from changes with age of different indices obtained from 2-min duration PPG traces.  These result might be relevant for boosting cardiovascular diagnosis in settings with limited resources.

 

Keywords:

Pulse Oximetry, Heart Rate Variability, Transit Time Estimation, Recurrent Plot Analysis, Cardio Vascular Age.

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Published

2017-11-05

How to Cite

Wright, G., & Hernandez Caceres, J. L. (2017). Extracting clinically relevant information from pulse oximetry traces. Journal of Health Informatics in Africa, 4(1). https://doi.org/10.12856/JHIA-2017-v4-i1-182