The obstructive sleep apnea syndrome (OSAS) is a common sleep disorder. In order to meet the initial screening and diagnosis of OSAS at home, a snoring monitoring system based on PVDF piezoelectric film was designed in this paper. The wearable snore monitoring system consists of a high-sensitivity snore sensor, a low-noise signal conditioning circuit, an embedded system and a host computer system. According to the characteristics of the large energy difference between the snoring segment and the non-snoring segment, the snoring endpoint detection algorithm is designed based on the short-time energy method, and the algorithm is verified by the collected snoring sound signals. The testing results show that the signal-to-noise ratio of snoring signals collected by the monitoring system is high, the average error of endpoint detection is less than 0.032 s, and the accuracy rate is 92.6%, which meets the screening requirements of potential OSAS patients and the self-examination of rehabilitation training for OSAS patients, and can reduce the burden of patient screening and medical polysomnography (PSG) detection.