Title :
Analysis of Fetal Heart Rate in Healthy and Pathological Pregnancies Using Wavelet-based Features
Author :
Spyridou, K.K. ; Hadjileontiadis, L.J.
Author_Institution :
Aristotle Univ. of Thessaloniki, Thessaloniki
Abstract :
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.
Keywords :
cardiology; patient monitoring; continuous wavelet transform; fetal heart rate; healthy pregnancy; pathological pregnancy; Asphyxia; Continuous wavelet transforms; Data mining; Fetal heart rate; Information analysis; Pathology; Pregnancy; Signal analysis; Signal processing; Wavelet analysis; Cardiotocogram; continuous wavelet transform; discrimination; gestational diabetes; wavelet-based features; Cardiotocography; Data Interpretation, Statistical; Diabetes, Gestational; Equipment Design; Female; Fetal Monitoring; Heart Rate, Fetal; Heart Sounds; Humans; Models, Statistical; Phonocardiography; Pregnancy; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352689
