阻塞型睡眠呼吸暂停综合征(OSAS)是常见的睡眠类疾病, 为满足居家对OSAS进行初步筛查和诊断, 该文设计了基于聚偏氟乙烯(PVDF)压电薄膜的鼾声监测系统。可穿戴式的鼾声监测系统包含高灵敏度鼾声传感器、低噪声信号调理电路、嵌入式系统及上位机系统。根据鼾声段和非鼾声段能量差异大的特点, 基于短时能量法进行鼾声端点检测算法设计, 通过采集的鼾声信号进行算法验证。经测试, 系统采集的鼾声信号信噪比高, 端点检测平均误差小于0.032 s, 准确率达92.6%, 满足潜在OSAS患者的筛查要求以及进行康复训练的自我检查, 同时可减轻患者筛查和医学多导睡眠图(PSG)检测的负担。

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.