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Paperdoi:10.1109/embc48229.2022.9871942

Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals

Venue listed2022Added Nov 5, 2026

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Authors: Elisa Mejia-Mejia, Panayiotis A. Kyriacou

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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TL;DR

Pulse rate variability (PRV) has been proposed as a surrogate for the estimation of Heart Rate Variability (HRV), which is a non-invasive technique used to assess the cardiac autonomic activity. However, both physiological and technical factors may affect the relationship between HRV and PRV, and there are no standards for the analysis of PRV from photoplethysmographic (PPG) signals. The aim of this study was to determine the best outlier management strategies for PRV analysis.

  • Published in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022).

Abstract

Pulse rate variability (PRV) has been proposed as a surrogate for the estimation of Heart Rate Variability (HRV), which is a non-invasive technique used to assess the cardiac autonomic activity. However, both physiological and technical factors may affect the relationship between HRV and PRV, and there are no standards for the analysis of PRV from photoplethysmographic (PPG) signals. The aim of this study was to determine the best outlier management strategies for PRV analysis. 117 PPG signals with randomly generated PRV information were simulated using Gaussian signals. From these, interbeat intervals were detected and different outlier detection and correction techniques were applied. Time and frequency-domain and non-linear PRV indices were extracted and compared with respect to the gold standard values obtained from the simulated PRV information. The results show that, in good quality PPG signals, there is no need to apply any outlier management technique for the extraction of PRV information. Clinical relevance- Establishing guidelines for PRV mea-surement can lead to more reliable and comparable results, as well as to the increase in the use of this variable for the diagnosis and monitoring of cardiovascular and autonomic conditions.

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Tasks & signals

Signals

PPG

Keywords

Kyriacou BibliographyWearable Physiological Sensing

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG). Method: Method.SetupSignals: PPGSignalsPPGMethodMethod

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Mejia-Mejia, E., & Kyriacou, P. A. (2022). Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society. https://doi.org/10.1109/embc48229.2022.9871942
Mejia-Mejia, Elisa and Panayiotis A. Kyriacou. 2022. "Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals." 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society. https://doi.org/10.1109/embc48229.2022.9871942.
Mejia-Mejia, E. and Kyriacou, P. A. (2022) 'Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals', 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society. doi: 10.1109/embc48229.2022.9871942.
Mejia-Mejia, Elisa, and Panayiotis A. Kyriacou "Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals." 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022. https://doi.org/10.1109/embc48229.2022.9871942.
E. Mejia-Mejia and P. A. Kyriacou, "Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022, doi: 10.1109/embc48229.2022.9871942.
@inproceedings{mejiamejia2022outlier,
  title         = {{Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals}},
  author        = {Mejia-Mejia, Elisa and Kyriacou, Panayiotis A.},
  year          = {2022},
  booktitle     = {2022 44th Annual International Conference of the IEEE Engineering in Medicine \& Biology Society},
  doi           = {10.1109/embc48229.2022.9871942}
}

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