TY - GEN
T1 - IMPROVING PHASE-RECTIFIED SIGNAL AVERAGING FOR FETAL HEART RATE ANALYSIS
AU - Chen, Tong
AU - Feng, Guanchao
AU - Heiselman, Cassandra
AU - Quirk, J. Gerald
AU - Djurić, Petar M.
N1 - Publisher Copyright:
© 2022 IEEE
PY - 2022
Y1 - 2022
N2 - Low umbilical artery pH is a marker for neonatal acidosis and is associated with an increased risk for neonatal complications. Phase-rectified signal averaging (PRSA) features have demonstrated superior discriminatory or diagnostic ability and good interpretability in many biomedical applications including fetal heart rate analysis. However, the performance of PRSA-based methods is sensitive to values of the selected parameters which are usually either chosen based on a grid search or empirically in the literature. In this paper, we examine PRSA-based methods through the lens of dynamical systems theory and reveal the intrinsic connection between state space reconstruction and PRSA. From this perspective, we then introduce a new feature that can better characterize comparisons of dynamical systems with PRSA. Our experimental results on an open-access intrapartum Cardiotocography database demonstrate that the proposed feature outperforms state-of-the-art PRSA features in pH-based fetal heart rate analysis.
AB - Low umbilical artery pH is a marker for neonatal acidosis and is associated with an increased risk for neonatal complications. Phase-rectified signal averaging (PRSA) features have demonstrated superior discriminatory or diagnostic ability and good interpretability in many biomedical applications including fetal heart rate analysis. However, the performance of PRSA-based methods is sensitive to values of the selected parameters which are usually either chosen based on a grid search or empirically in the literature. In this paper, we examine PRSA-based methods through the lens of dynamical systems theory and reveal the intrinsic connection between state space reconstruction and PRSA. From this perspective, we then introduce a new feature that can better characterize comparisons of dynamical systems with PRSA. Our experimental results on an open-access intrapartum Cardiotocography database demonstrate that the proposed feature outperforms state-of-the-art PRSA features in pH-based fetal heart rate analysis.
KW - dynamical system
KW - fetal heart rate
KW - phase-rectified signal averaging
KW - state space reconstruction
UR - https://www.scopus.com/pages/publications/85134060423
U2 - 10.1109/ICASSP43922.2022.9747860
DO - 10.1109/ICASSP43922.2022.9747860
M3 - Conference contribution
AN - SCOPUS:85134060423
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1326
EP - 1330
BT - 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022
Y2 - 22 May 2022 through 27 May 2022
ER -