Objective: To establish the fetal heart rate monitoring system based on the internet of things so that pregnant women could perform fetal heart rate monitoring anywhere and anytime. Methods: The research used the embedded microcontroller system to process fetal heart rate and uterine pressure signal of perception layer. The server management software was developed by Eclipse demonstrated the monitoring data and gave feedbacks of the diagnosis. The research also adopted a two-way data transmission and reception with bluetooth between smart phones. The research tested the accuracy of the portable fetal heart monitor among full-term pregnant women as the clinical trials subjects. Results: The results showed that fetal heart rate accuracy was more than 98%, the fetal heart rate detection error was less than ±2 bpm, non-linearity error of pressure survey was between -9.1% and +7.7%. Two measurements had no significant differences(P>0.05). Conclusion: It could be concluded that the operation stability and detection accuracy of fetal heart monitoring system based on the internet of things had met the design requirements. The fetal heart rate monitor can accurately reflect the fetal situation by displaying correct fetal heart rates and uterine pressure. Real-time transmission of information allows experts to deal with any emergency situations in time.