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Quality Assessment for the Photoplethysmogram (PPG)

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Signal Quality Assessment in Physiological Monitoring

Part of the book series: SpringerBriefs in Bioengineering ((BRIEFSBIOENG))

Abstract

The Photoplethysmogram (PPG) is fast becoming the most popular monitoring tool because of its ease of measurement, via the pulse oximeter, and because of its ability to provide multiple vital sign measurements from a single signal. However, its high susceptibility to motion artifact limits its reliability for deriving valid vital sign measurements. This chapter introduces the PPG and presents currently proposed approaches for making PPG quality assessments. Rather than presenting proposed techniques as complete solutions, state-of-the-art feature extraction approaches are presented along with widely used decision rules, to provide the reader with a basic understanding of the framework of SQA for the PPG, and encourage further research.

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Notes

  1. 1.

    Studies have shown that provided that a high enough sampling rate is used for the PPG signal and a robust pulse-peak detector is used, PVR is approximately equivalent to the HRV for describing the activity of the Autonomic Nervous System (ANS) [30].

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  1. Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

    Christina Orphanidou

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  1. Christina Orphanidou
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Correspondence to Christina Orphanidou .

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Orphanidou, C. (2018). Quality Assessment for the Photoplethysmogram (PPG). In: Signal Quality Assessment in Physiological Monitoring. SpringerBriefs in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-68415-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-68415-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68414-7

  • Online ISBN: 978-3-319-68415-4

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