Photoplethysmography beat detection and pulse morphology quality assessment for signal reliability estimation

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Abstract

Photoplethysmography (PPG) is one of the key technologies for unobtrusive physiological monitoring, with ongoing attempts to use it in several medical fields, ranging from night to night sleep analysis to continuous cardiac arrhythmia monitoring. However, the PPG signals are susceptible to be corrupted by noise and artifacts, caused, e.g., by limb or sensor movement. These artifacts affect the morphology of PPG waves and prevent the accurate detection and localization of beats and subsequent cardiovascular feature extraction. In this paper a new algorithm for beat detection and pulse quality assessment is described. The algorithm segments the PPG signal in pulses, localizes each beat and grades each segment with a quality index. The obtained index results from a comparison between each pulse and a template derived from the surrounding pulses, by mean of dynamic time warping barycenter averaging. The quality index is used to discard corrupted pulse beats. The algorithm is evaluated by comparing the detected beats with annotated PPG signals and the results are published over the same data. The described method achieves an improved sensitivity and a higher predictive value.
Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherInstitute of Electrical and Electronics Engineers
Pages117-120
Number of pages4
ISBN (Electronic)978-1-5090-2809-2
ISBN (Print)978-1-5090-2810-8
DOIs
Publication statusPublished - 13 Sep 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017) - Jeju, Jeju, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017
Conference number: 39
https://embc.embs.org/2017/

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017)
Abbreviated titleEMBC 2017
CountryKorea, Republic of
CityJeju
Period11/07/1715/07/17
Internet address

Bibliographical note

Paper WeAT11.5

Keywords

  • photoplethysmography
  • PPG
  • Quality metrics
  • Artifacts
  • Heart Rate
  • Reproducibility of Results
  • Algorithms
  • Signal Processing, Computer-Assisted
  • Photoplethysmography

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