Title :
Characterization of fetal heart rate using approximate entropy
Author :
De Sá, J. P Marques
Author_Institution :
Fac. de Engenharia, Porto Univ.
Abstract :
Approximate entropy (ApEn) is an interesting measure for assessing the irregularity of time series and in particular for characterizing heart rate variability. In the present paper we apply ApEn to the characterization of three patterns of fetal heart rate (FHR); calm sleep; calm vigilance; pathological flat-sinusoidal condition. We conclude that ApEn can perfectly discriminate the pathological FS pattern from the normal A and C patterns and is far better for FHR pattern discrimination than classic time-domain variability indexes used in clinical practice
Keywords :
biomedical measurement; cardiology; entropy; medical signal processing; obstetrics; pattern classification; signal classification; sleep; time series; approximate entropy; calm sleep; calm vigilance; fetal heart rate characterization; heart rate variability; pathological flat-sinusoidal condition; pattern classification; time series; Entropy; Fetal heart rate; Fetus; Fractals; Heart rate; Heart rate variability; Particle measurements; Pathology; Time domain analysis; Time measurement;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588190
