beat-to-beat tele-fetal monitoring and clinical data comparison using a wavelet transform approach Tele-fetal monitoring represents a significant advancement toward wearable medical devices for pregnant women, enabling comprehensive prenatal care from home. In this study, we implement a wavelet transform algorithm for fetal cardiac monitoring using a portable fetal Doppler device. After evaluating 85 different mother wavelets, the bio-orthogonal 2.2 wavelet at decomposition level 4 was selected for optimal performance. The proposed method was validated using two datasets, including publicly available and clinical recordings. Analysis of PhysioBank data alongside simultaneous clinical measurements demonstrates that the fetal heart rates obtained with our algorithm closely match the reference values, achieving an accuracy exceeding 95%. These findings suggest that the proposed wavelet-based approach provides a reliable and effective method for tele-fetal monitoring, with strong potential for use in similar wearable prenatal care systems.
