Sleep apnea severity stratification by an FFT-based PPG-derived index

Authors

  • Diego Cajal Orleans BSICoS
  • Eduardo Gil
  • Pablo Laguna
  • Carolina Varon
  • Dries Testelman
  • Bertien Buyse
  • Chris Jensen
  • Rohan Hoare
  • Raquel Bailón
  • Jesús Lázaro

DOI:

https://doi.org/10.26754/jjii3a.20226984

Abstract

A new index for sleep apnea stratification is proposed. This index is based on the detection of the frequencies at which cyclic variations of the heart rate (CVHR) occur in segments with abnormal breathing. A CVHR detector is also proposed. When this detector is used, the proposed index has a correlation of r = 0.68 with the apnea-hypopnea index. The absence of correlation when the CVHR detector is not used suggests that CVHR detection is necessary for a correct evaluation.

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Published

2022-07-18

How to Cite

Cajal Orleans, D., Gil, E., Laguna, P., Varon, C., Testelman, D., Buyse, B., Jensen, C., Hoare, R., Bailón, R., & Lázaro, J. (2022). Sleep apnea severity stratification by an FFT-based PPG-derived index. Jornada De Jóvenes Investigadores Del I3A, 10. https://doi.org/10.26754/jjii3a.20226984

Issue

Vol. 10 (2022): Actas de la XI Jornada de Jóvenes Investigadores e Investigadoras del I3A - 16 de junio de 2022

Section

Artículos (Ingeniería Biomédica)