Research article Special Issues

A signal quality assessment method for fetal QRS complexes detection


  • Received: 22 October 2022 Revised: 09 December 2022 Accepted: 15 December 2022 Published: 23 February 2023
  • Objective

    Non-invasive fetal ECG (NI-FECG) provides a non-invasive method to monitor the health of the fetus. However, the NI-FECG is easily interfered by noise, which makes the signal quality decline, leading to the fetal heart rate (FHR) monitoring becoming a challenging task.

    Methods

    In this work, an algorithm for dynamic evaluation of signal quality is proposed to improve the multi-channel FHR monitoring. The innovation of the method is to assess the signal quality in the process of multi-channel fetal QRS (FQRS) complexes detection. Specifically, the detected FQRS is used as quality unit. Each quality unit can be a true R peak (TR) or a false R peak (FR). It is the basic quality information in this work. The signal quality of each channel is estimated by estimating the correctness of the detection results. Further, the TRs of all channels can be fused to obtain more reliable fetal heart rate monitoring.

    Main results

    Analysis results demonstrate that the proposed algorithm is capable of selecting the good quality signal for FQRS detection achieving 97.40% $ PPV $, 98.33% $ SE $ and 97.86% $ F_1 $.

    Significance

    This work sheds light on the quality assessment of fetal monitoring signal.

    Citation: Wei Zhong, Li Mao, Wei Du. A signal quality assessment method for fetal QRS complexes detection[J]. Mathematical Biosciences and Engineering, 2023, 20(5): 7943-7956. doi: 10.3934/mbe.2023344

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  • Objective

    Non-invasive fetal ECG (NI-FECG) provides a non-invasive method to monitor the health of the fetus. However, the NI-FECG is easily interfered by noise, which makes the signal quality decline, leading to the fetal heart rate (FHR) monitoring becoming a challenging task.

    Methods

    In this work, an algorithm for dynamic evaluation of signal quality is proposed to improve the multi-channel FHR monitoring. The innovation of the method is to assess the signal quality in the process of multi-channel fetal QRS (FQRS) complexes detection. Specifically, the detected FQRS is used as quality unit. Each quality unit can be a true R peak (TR) or a false R peak (FR). It is the basic quality information in this work. The signal quality of each channel is estimated by estimating the correctness of the detection results. Further, the TRs of all channels can be fused to obtain more reliable fetal heart rate monitoring.

    Main results

    Analysis results demonstrate that the proposed algorithm is capable of selecting the good quality signal for FQRS detection achieving 97.40% $ PPV $, 98.33% $ SE $ and 97.86% $ F_1 $.

    Significance

    This work sheds light on the quality assessment of fetal monitoring signal.



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