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Pre-determination of OSA degree using morphological features of the ECG signal.
Sule Yücelbas
Cüneyt Yücelbas
Gülay Tezel
Seral Özsen
Serkan Küççüktürk
Sebnem Yosunkaya
Published in:
Expert Syst. Appl. (2017)
Keyphrases
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ecg signals
morphological features
feature vectors
power line
biomedical signals
heart rate
image processing
atrial fibrillation
critical care
machine learning
probability distribution
low cost
high speed
physiological signals
heart rate variability