TY - GEN
T1 - Wavelet Based Denoising and Cross Correlation for Identifying Features in CTG Traces
AU - Kulcickis-Gutas, Dovydas
AU - Marnane, William P.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work aims to demonstrate a method of pattern identification in CTG traces. Following de-noising using the discrete wavelet transformation, the zero normalized cross-correlation is applied between the trace and the pattern of interest. This study allows a custom pattern to be cross correlated with a CTG trace, and areas of maximal overlap are indicators of successful identification. The method has been tested with CTG records from Cork University Maternity Hospital to determine the prediction rate.
AB - This work aims to demonstrate a method of pattern identification in CTG traces. Following de-noising using the discrete wavelet transformation, the zero normalized cross-correlation is applied between the trace and the pattern of interest. This study allows a custom pattern to be cross correlated with a CTG trace, and areas of maximal overlap are indicators of successful identification. The method has been tested with CTG records from Cork University Maternity Hospital to determine the prediction rate.
KW - CTG
KW - discrete wavelet transform
KW - zero normalized cross-correlation
UR - https://www.scopus.com/pages/publications/85135937295
U2 - 10.1109/ISSC55427.2022.9826220
DO - 10.1109/ISSC55427.2022.9826220
M3 - Conference proceeding
AN - SCOPUS:85135937295
T3 - 2022 33rd Irish Signals and Systems Conference, ISSC 2022
BT - 2022 33rd Irish Signals and Systems Conference, ISSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Irish Signals and Systems Conference, ISSC 2022
Y2 - 9 June 2022 through 10 June 2022
ER -