Abstract
Abstract: Fetal movement (FM) monitoring is considered an important part of fetal well-being assessment due to its association with several fetal health conditions. Present methods of frequency modulation quantification, e.g., ultrasonography, MRI, and cardiotocography are limited to their use in the clinical setting. In this proposed system, he evaluates the performance of a lowcost, wearable FM monitor based on an acoustic sensor that pregnant women can use at home. A thresholding-based signal processing algorithm is developed for data analysis, which combines the outputs from all sensors and automatically detects FM. Finally, the spike morphology of the acoustic signals corresponding to the actual detected motions is found in the time-frequency domain through spectrogram analysis, which is expected to be useful for developing a more advanced signal processing algorithm to further improve the detection accuracy
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