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Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation | IEEE Journals & Magazine | IEEE Xplore

Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation


Abstract:

Fetal Heart Rate (FHR) signal is widely used in doppler fetal heart monitors. However, incomplete FHR signals reduce the effectiveness of fetal heart rate monitoring. Fil...Show More

Abstract:

Fetal Heart Rate (FHR) signal is widely used in doppler fetal heart monitors. However, incomplete FHR signals reduce the effectiveness of fetal heart rate monitoring. Filling missing data is a key technique to improve FHR quality, but existing filling algorithms lack consideration the correlation of FHR signals. Therefore, we focus on two correlations related to FHR, and propose a filling algorithm called Diffusion model for Missing Data Imputation in FHR (DMDI-FHR). Firstly, we construct the Dual-dimensional Sample Construction (DDSC) method that finds two FHR signals with maximizing the difference to form correlations between them. Secondly, the Multi-period Decomposition (MPD) method is introduced to obtain the internal correlation of FHR signal. Finally, DMDI-FHR algorithm controls the filling process based on the diffusion model. Experimental results demonstrate the performance of DMDI-FHR algorithm, which provides an effective way to improve the quality of FHR signal.
Published in: IEEE Transactions on Consumer Electronics ( Volume: 70, Issue: 3, August 2024)
Page(s): 5453 - 5460
Date of Publication: 10 July 2024

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