This paper introduces a novel methodology for estimating diagnostic information loss in fetal phonocardiogram (fPCG) signals during transmission. fPCG, a non-invasive technique for monitoring fetal heart sounds, is crucial for prenatal health evaluation. However, the clinical information in the fPCG signal can be distorted during transmission, particularly over wireless channels, posing a significant challenge in telehealth care monitoring. To address this issue, we propose a new approach for assessing the quality of received fPCG signals. Our method involves compressing, encoding, and transmitting the fPCG signals using an Ultra-Wide Band (UWB) transceiver system. The effectiveness of this approach is evaluated using fPCG signals from a public database, and various compression and transmission frameworks are tested. Performance quality measures are derived by comparing the original and reconstructed signals, demonstrating our method’s ability to estimate the extent of clinical information loss accurately. Experimental results demonstrate that our method provides valuable insights into improving the reliability and accuracy of remote fetal monitoring systems. This research opens new avenues for enhancing the quality of transmitted biomedical signals in telemedicine applications and suggests further studies to validate this approach in real-world clinical settings.