Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification

• Published in: IEEE journal of biomedical and health informatics Vol. 21; no. 3; pp. 664 - 671
• Main Authors: Spilka, Jiri, Frecon, Jordan, Leonarduzzi, Roberto, Pustelnik, Nelly, Abry, Patrice, Doret, Muriel
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acidosis; Algorithms; Attention task; Biomedical signal processing; Childbirth & labor; Classification; Clinical medicine; Electrocardiography - methods; Feature extraction; feature selection; Female; Fetal heart rate; Fetuses; Fractals; Heart rate; Heart Rate, Fetal - physiology; Humans; Informatics; Monitoring; Pregnancy; Scaling; Signal Processing, Computer-Assisted; sparse support vector machine (S-SVM); supervised classification; Support Vector Machine; Support vector machines

Fetal heart rate (FHR) monitoring is routinely used in clinical practice to help obstetricians assess fetal health status during delivery. However, early detection of fetal acidosis that allows relevant decisions for operative delivery remains a challenging task, receiving considerable attention. Th...