[1]邱小烨,严荣国,李俊国,等. 基于聚偏氟乙烯薄膜的穿戴式呼吸检测系统[J].中国医学物理学杂志,2018,35(11):1313-1317.[doi:DOI:10.3969/j.issn.1005-202X.2018.11.014]
　QIU Xiaoye,YAN Rongguo,LI Junguo,et al. Development of a wearable respiration detection system based on polyvinylidene fluoride film[J].Chinese Journal of Medical Physics,2018,35(11):1313-1317.[doi:DOI:10.3969/j.issn.1005-202X.2018.11.014]
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 基于聚偏氟乙烯薄膜的穿戴式呼吸检测系统()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
35卷
期数:
2018年第11期
页码:
1313-1317
栏目:
医学信号处理与医学仪器
出版日期:
2018-11-18

文章信息/Info

Title:
 Development of a wearable respiration detection system based on polyvinylidene fluoride film
文章编号:
1005-202X（2018）11-1313-05
作者:
 邱小烨; 严荣国; 李俊国; 李永洋
 上海理工大学医疗器械与食品学院， 上海 200093
Author(s):
 QIU Xiaoye;  YAN Rongguo;  LI Junguo;  LI Yongyang
 School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
关键词:
聚偏氟乙烯薄膜; 呼吸检测; 平滑滤波; 自适应双阈值; 呼吸率
Keywords:
 ; Keywords: polyvinylidene fluoride film;  respiration detection;  smooth filtering;  adaptive dual-threshold;  respiratory rate
分类号:
R318.04
DOI:
DOI:10.3969/j.issn.1005-202X.2018.11.014
文献标志码:
A
摘要:
 【摘 要】 针对人体呼吸信号的特点设计一种基于聚偏氟乙烯（PVDF）压电薄膜材料的可穿戴式呼吸检测系统。人体呼吸时PVDF薄膜受力产生的感应电荷较少，经信号调理电路将电荷量转换成电压量。单片机通过模数转换器获得呼吸信号数据，通过蓝牙发送给上位机。上位机从获得的数据中提取呼吸波形，并进行平滑滤波、自适应双阈值来计算呼吸率。试验结果表明，本系统可以实时准确地检测出人体的呼吸波形，呼吸次数识别的准确率在90%以上，可以满足人体呼吸监护的需求。
Abstract:
 Abstract: In view of the characteristics of human respiratory signals, a wearable respiration detection system based on polyvinylidene fluoride (PVDF) piezoelectric film is proposed. The induced charge collected from human respiration by a PVDF thin film is relatively weak, and converts to the voltage by signal conditioning circuit. The microcontroller obtains the respiratory signal data through analog-to-digital converter, and sent to the host computer via Bluetooth. The host computer extracts the respiratory waveform from the obtained data and calculates respiratory rate via smooth filtering and adaptive dual-threshold technique. The experimental results showed that the system can accurately detect the respiratory waveform of the human body, and that the accuracy rate of the recognition of the number of breaths is above 90%, which meets the needs of human respiration monitoring.

相似文献/References:

[1]赵君豪,杨环宇,但果. 基于角速度的人体呼吸信号研究[J].中国医学物理学杂志,2017,34(12):1261.[doi:DOI:10.3969/j.issn.1005-202X.2017.12.014]
　ZHAO Junhao,YANG Huanyu,DAN Guo,et al. Research of human respiratory signal based on angular velocity[J].Chinese Journal of Medical Physics,2017,34(11):1261.[doi:DOI:10.3969/j.issn.1005-202X.2017.12.014]

备注/Memo

备注/Memo:
 【收稿日期】2018-05-17
【基金项目】2017年度上海市教委本科重点课程项目
【作者简介】邱小烨，硕士研究生，研究方向：医用电子仪器，E-mail:582405688@qq.com
【通信作者】严荣国，博士，副教授，硕士生导师，研究方向：生物医学工程，E-mail: yanrongguo@usst.edu.cn
更新日期/Last Update: 2018-11-22