Burmuineko oximetria-seinalearen wavelet analisia bihotz-biriketako berpizte-masajearen sakaden maiztasuna kalkulatzeko

Authors

  • Amaia Sanz-Pescador University of the Basque Country (UPV/EHU)
  • Erik Alonso University of the Basque Country (UPV/EHU)
  • Iraia Isasi University of the Basque Country (UPV/EHU)
  • Andima Larrea Emergentziak-Osakidetza
  • Ruth Salaberria Emergentziak-Osakidetza
  • Elisabete Aramendi University of the Basque Country (UPV/EHU)

DOI:

https://doi.org/10.26876/ikergazte.vi.03.23

Keywords:

Near-infrared spectroscopy, chest compressions, out-of-hospital cardiorespiratory arrest, cardiopulmonary resuscitation, oximetry signal

Abstract

The high-temporal-resolution cerebral oximetry signal obtained through near-infrared spectroscopy reflects fluctuations due to chest compressions (CCs) administered during cardiopulmonary resuscitation. The aim of this study was to develop a method to detect the frequency of CCs based on processing the cerebral oximetry signal of patients in out-of-hospital cardiorespiratory arrest (OHCA). The study database consisted of 284 segments extracted from 30 OHCA patients. The segments included thoracic impedance and oximetry signals. The results obtained demonstrate the robustness and accuracy of the method that could be integrated into monitoring systems.

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Published

2025-05-30

How to Cite

Sanz-Pescador, A., Alonso, E., Isasi, I., Larrea, A., Salaberria, R., & Aramendi, E. (2025). Burmuineko oximetria-seinalearen wavelet analisia bihotz-biriketako berpizte-masajearen sakaden maiztasuna kalkulatzeko. IkerGazte. Nazioarteko Ikerketa Euskaraz, 3, 187–194. https://doi.org/10.26876/ikergazte.vi.03.23