AINeutralarXiv – CS AI · 14h ago6/10
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FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
Researchers propose FHRFormer, a masked transformer-based autoencoder that reconstructs missing fetal heart rate data from wearable monitors using self-supervised learning. The method addresses signal dropout caused by sensor displacement and positional changes, preserving spectral characteristics better than traditional interpolation while enabling both data inpainting and forecasting for improved fetal risk assessment.