基于PVDF的可穿戴鼾声监测系统

千承辉; 王福龙

doi:doi:10.11977/j.issn.1004-2474.2023.01.017

压电与声光, 2023, 45 (1): 89, 网络出版: 2023-04-07

基于PVDF的可穿戴鼾声监测系统

Wearable Snore Monitoring System Based on PVDF

论文大纲

千承辉王福龙

作者单位

吉林大学仪器科学与电气工程学院, 吉林长春 130061

摘要

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。

Abstract

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.

参考文献

[1] 苏小凤,刘霖,仲琳,等.中国阻塞性睡眠呼吸暂停综合征患病率的Meta分析［J］.中国循证医学杂志,2021(10):1187-1194.

[2] 谢宇平,惠培林,王旭斌,等.《成人阻塞性睡眠呼吸暂停多学科诊疗指南》外科部分解读［J］.世界睡眠医学杂志,2018(11):1323-1327.

[3] PEVERNAGIE D,AARTS R M,MEYER M.The acoustics of snoring［J］.Sleep Medicine Reviews,2010,14(2):131-144.

[4] ERDENEBAYAR U,PARK J U,JEONG P,et al.Obstructive sleep apnea screening using a piezoelectric sensor［J］.J Korean Med Sci,2017,32(6):893-899.

[5] TUNCER A T,BLGEN M.A viable snore detection system:hardware and software implementations［J］.Turkish Journal of Electrical Engineering & Computer Sciences,2020,28(2):1059-1069.

[6] XIN Y,LIU T,LIU H,et al.A bone-conduction transducer-based detection system for sleep apnea screening in the family units［J］.IEEE Sensors Journal,2021,21(6):8411-8420.

[7] NG,ZHI J H,TONG S K.Effects of microphone position on snore signal quality and patient comfort［C］//［S.l.］:IEEE International Conference on Signal Processing,2008:2130-2133.

[8] XIN Y,LIU T,SUN H,et al.Recent progress on the wearable devices based on piezoelectric sensors［J］.Ferroelectrics,2018,531(1):102-113.

[9] 熊琦.PVDF压电薄膜的力学性能和压电效应实验研究［D］.武汉: 华中科技大学,2018.

[10] 辛毅,徐洋,郭超,等.基于压电薄膜传感器的睡眠监测枕研究［J］.压电与声光,2018,40(2):283-287.

[11] 辛毅,刘涛,朱剑锋,等.基于PVDF的可穿戴生理信号监测系统［J］.压电与声光,2020,42(4):529-532.

千承辉, 王福龙. 基于PVDF的可穿戴鼾声监测系统[J]. 压电与声光, 2023, 45(1): 89. QIAN Chenghui, WANG Fulong. Wearable Snore Monitoring System Based on PVDF[J]. Piezoelectrics & Acoustooptics, 2023, 45(1): 89.

基于PVDF的可穿戴鼾声监测系统

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