Fetal cardiac health monitoring with invasive methods have a limited viability because they can only be utilized during labor and are uncomfortable. On the other hand non-invasive fECG are adulterated with maternal ECG, and hence resulting in poor analysis. In contrast, Pulsed-wave Doppler (PwD) echocardiography generates high-quality signals representing fetal blood volume inflow-outflow. It also follows non-invasive signal acquisition. The only drawback is that it requires highly expensive setup. To address this aspect, we put forward a challenging research question - can we reconstruct PwD signals using non-invasive fetal ECG? To answer this question, we perform a feasibility study with respect to input fECG wave polarity, output PwD signal configuration (EA+, EA– and group), output PwD envelopes (upper, lower, PCA compressed and group), signal length of input fECG signal and different regression models. In order to achieve good reconstruction, we also propose PwDRecNet - a deep learning framework which operates over multiple temporal contexts. To the best our knowledge this is the first work to consider PwD signal reconstruction from NI-fECG. The obtained numerical results suggests that with adequate configuration and model better reconstruction can be obtained.