Analysis of fetal heart rate in healthy and pathological pregnancies using wavelet-based features.
In this paper, a new approach for feature extraction from the Fetal Heart Rate (FHR) signal is introduced. It considers the use of Continuous Wavelet Transform to extract wavelet-based features of FHR signal in order to discriminate the normal from the abnormal cases. The proposed methodology is tested on real data acquired before the beginning or during labor. The results proved the viability of the approach and its potential for further application.
Spyridou
Kyriaki K
KK
Laboratory of Medical Informatics, Dept. of Medicine, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece.
Hadjileontiadis
Leontios J
LJ
D015148:Cardiotocography / Q000295:instrumentation* / Q000379:methods; D003627:Data Interpretation, Statistical; D016640:Diabetes, Gestational / Q000175:diagnosis*; D004867:Equipment Design; D005260:Female; D005323:Fetal Monitoring / Q000295:instrumentation* / Q000379:methods; D006340:Heart Rate, Fetal; D006347:Heart Sounds; D006801:Humans; D015233:Models, Statistical; D010701:Phonocardiography / Q000295:instrumentation / Q000379:methods; D011247:Pregnancy; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors