Abstract:
The aim of this project is to design and develop a fetal heart rate monitor with an artificial intelligence (AI) interface. The proposed device utilizes a non-invasive technique, piezo electric transducer to accurately measure the fetal heart rate, providing real-time data to medical professionals and parents-to-be.
This project presents a novel approach for fetal heart rate monitoring utilizing the piezoelectric material Doppler effect, combined with an artificial intelligence (AI) interface. By harnessing the Doppler effect, the system accurately detects and analyzes fetal heart signals, providing real-time information on the baby's well-being. The signal from the fetus is filtered using bandpass filters. The filtered signal is used to calculate beats per minute and is fed into a trained neural network to classify them as normal or abnormal signals.
The development of this fetal heart rate monitor with an AI interface is a significant contribution to the healthcare industry. It will provide a non-invasive, cost-effective, and accurate method of monitoring fetal heart rate, enabling early detection of potential health risks, and ultimately improving the quality of care for expectant mothers and their unborn children.
