Burmuineko oximetria-seinalearen wavelet analisia bihotz-biriketako berpizte-masajearen sakaden maiztasuna kalkulatzeko
DOI:
https://doi.org/10.26876/ikergazte.vi.03.23Keywords:
Near-infrared spectroscopy, chest compressions, out-of-hospital cardiorespiratory arrest, cardiopulmonary resuscitation, oximetry signalAbstract
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.
License
Copyright (c) 2025 IkerGazte. Nazioarteko ikerketa euskaraz

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.