A method of fetal heart rate detection based on joint Time-Frequency analysis

DOI

10.2991/ncce-18.2018.157How to use a DOI?

Keywords

Fetal heart rate, variation mode decomposition, signal energy, kurtosis.

Abstract

Accurate fetal heart rate detection is the main task for fetal heart rate monitoring. To improve accuracy of fetal heart rate estimation, filtering processing would be taken for the collected fetal heart sound signals and then processed fetal heart sound signals would undergo time-frequency analysis with variational mode decomposition. Next, the variations obtained through decomposition would be used for kurtosis values calculation. Variations with smaller kurtosis values would be selected to calculate energy value of the signals and fetal heart rate could be estimated through limited peak-peak difference unit time. This method can not only estimate fetal heart rate very rapidly, but also reduce effects of noise on the estimated results of fetal heart rate when signal to noise ratio is quite low and the error is acceptable. Simulation experiment indicated that this method was of high accuracy in calculating fetal heart rate taking advantage of fetal heart sound signals under the circumstance of strong noise and was of great significance for the monitoring of fetal heart rate.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiwei Nie
PY  - 2018/05
DA  - 2018/05
TI  - A method of fetal heart rate detection based on joint Time-Frequency analysis
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 936
EP  - 940
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.157
DO  - 10.2991/ncce-18.2018.157
ID  - Nie2018/05
ER  -