Digital cardiotocography: What is the optimal sampling frequency?. (May 2019)

• Record Type: Journal Article
• Authors: Romagnoli, Sofia; Sbrollini, Agnese; Burattini, Luca; Marcantoni, Ilaria; Morettini, Micaela; Burattini, Laura
• Is Part Of: Biomedical signal processing and control. Volume 51(2019)
• Page Start: 210
• Page End: 215
• Publication Date: 2019-05
• Subjects: Cardiotocography -- Fetal monitoring -- Computerized cardiotocography -- Signal processing -- Electronic clinical applications; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2019.02.016
• Languages: English
• ISSNs: 1746-8094

Abstract

Graphical abstract: Highlights: Cardiotocography (CTG) is a popular prenatal test, still visually interpreted. Digital cardiotocography (CTG) has great potentialities in clinical practice. A key issue of digital CTG is identification of optimal sampling frequency (OSF). CTG data were visually annotated and automatically analyzed (SF = 0.2–4 Hz). OSF were 2 Hz and 0.2 Hz for fetal heart-rate and uterine contractions, respectively. Abstract: Cardiotocography (CTG) is the most popular prenatal diagnostic test for establishing fetal health and consists in simultaneous recording of fetal heart rate (FHR, bpm) and maternal uterine contraction (UC, mmHg) traces. Typically, FHR and UC traces are visually analyzed and interpreted by clinicians. Recently, software applications like CTG Analyzer have been developed to support visual CTG interpretation by making it more objective and independent from clinician's experience. Automatic CTG analysis requires CTG-traces digitalization and thus assessment of a correct sampling frequency (SF). Thus, this paper aims to investigate dependency of automatic CTG analysis on SF in order to identify optimal SF (OSF) for FHR and UC traces that minimizes computational efforts without jeopardizing CTG interpretation. To this aim, the "CTU-CHB intra-partum CTG database" was considered and visually annotated by an expert gynecologist. FHR and UC traces, originally sampled at 4 Hz, were down sampled at 2 Hz, 1 Hz, 0.4 Hz and 0.2 Hz, and automatically analyzed using CTG Analyzer. Eventually, results obtained through automatic analysis were compared to visual annotations, which were taken as reference. A cumulative statistical index (CSI), ranging from 0.00% to 100.00%, was defined as a linear combination of positive-predictive value, sensitivity, false-positive rate and false-negative rate. OSF was defined as the one that maximizes CSI. If CSI was showing the same value for more than one SF, the lowest SF was selected as the optimal since minimizing computational efforts. Results indicate that OSF for FHR is 2 Hz (CSI ≥ 85.41%), whereas OSF for UC is 0.2 Hz (CSI = 75.21%).