高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于涡轮式气体流量传感器的用力呼气容量计算方法

王辰硕 何光强 李玥琪 赵荣建 陈贤祥 杜利东 赵湛 方震

王辰硕, 何光强, 李玥琪, 赵荣建, 陈贤祥, 杜利东, 赵湛, 方震. 基于涡轮式气体流量传感器的用力呼气容量计算方法[J]. 电子与信息学报, 2019, 41(10): 2396-2401. doi: 10.11999/JEIT190051
引用本文: 王辰硕, 何光强, 李玥琪, 赵荣建, 陈贤祥, 杜利东, 赵湛, 方震. 基于涡轮式气体流量传感器的用力呼气容量计算方法[J]. 电子与信息学报, 2019, 41(10): 2396-2401. doi: 10.11999/JEIT190051
Chenshuo WANG, Guangqiang HE, Yueqi LI, Rongjian ZHAO, Xianxiang CHEN, Lidong DU, Zhan ZHAO, Zhen FANG. Calculation of Forced Vital Capacity Based on Turbine Air Flow Sensor[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2396-2401. doi: 10.11999/JEIT190051
Citation: Chenshuo WANG, Guangqiang HE, Yueqi LI, Rongjian ZHAO, Xianxiang CHEN, Lidong DU, Zhan ZHAO, Zhen FANG. Calculation of Forced Vital Capacity Based on Turbine Air Flow Sensor[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2396-2401. doi: 10.11999/JEIT190051

基于涡轮式气体流量传感器的用力呼气容量计算方法

doi: 10.11999/JEIT190051
基金项目: 北京市自然科学基金重点研究专项(Z16003),国家重点研发计划(2016YFC1304302)
详细信息
    作者简介:

    王辰硕:男,1993年生,博士生,研究方向为生命信息感知与计算

    何光强:男,1995年生,硕士生,研究方向为可穿戴式技术

    李玥琪:女,1990年生,博士生,研究方向为可穿戴式技术

    赵荣建:男,1985年生,博士生,研究方向为生命信息感知技术

    陈贤祥:男,1979年生,副研究员,硕士生导师,研究方向为可穿戴式技术

    杜利东:男,1981年生,助理研究员,研究方向为微纳制造技术

    赵湛:男,1958年生,研究员,博士生导师,研究方向为微纳制造技术,无线传感器网络,生命信息感知与计算

    方震:男,1976年生,研究员,博士生导师,研究方向为可穿戴式技术

    通讯作者:

    方震 zfang@mail.ie.ac.cn

  • 中图分类号: TN051

Calculation of Forced Vital Capacity Based on Turbine Air Flow Sensor

Funds: The Key Project of Beijing Municipal Natural Science Foundation(Z16003), The National Key Research and Development Project(2016YFC1304302)
  • 摘要: 涡轮式气体流量传感器在用力肺功能测试中用于记录人体呼气信号,由于旋转惯性,对于相同用力呼气容量(FVC)值,测量结果因呼出气体流量而异,且差异值通常不可接受。针对该问题,该文通过在传统稳态涡轮流量计算模型的基础上引入速度惩罚项,构建一种FVC速度惩罚模型,与此同时,提出使用过幅降采样涡轮旋转周数算法,二者结合,提高了FVC测试结果的可接受性。利用国际通用的标准3 L定标桶,模拟真实用力肺功能测试过程,对算法的有效性进行验证。实验结果表明:所提方法能够有效降低前述差异,在一定程度上满足美国胸科协会(ATS)和欧洲呼吸学会(ERS)所提出的用力肺功能测试可接受标准和准确度要求。
  • 图  1  呼气信号采集系统框图

    图  2  低频信号检测

    图  3  高频信号检测

    图  4  3种峰值流速下对不同体积的20次测试结果

    图  5  Bland-Altman图

    图  6  测量结果与真实值的相关性

    表  1  10次随机气体推进实验对涡轮旋转周数测量值与真实值对比

    实验(次)12345678910
    真实值(周)2561501783583218920531656124
    测量值(周)2531481723543168720431056122
    下载: 导出CSV
  • VAN DER HEIJDEN M, LUCAS P J F, LIJNSE B, et al. An autonomous mobile system for the management of COPD[J]. Journal of Biomedical Informatics, 2013, 46(3): 458–469. doi: 10.1016/j.jbi.2013.03.003
    POLVERINO F and CELLI B. The challenge of controlling the COPD epidemic: Unmet needs[J]. The American Journal of Medicine, 2018, 131(9 Suppl 1): 1–6.
    WANG Chenshuo, CHEN Xianxiang, ZHAO Rongjian, et al. Predicting Forced Vital Capacity (FVC) using Support Vector Regression (SVR)[J]. Physiological Measurement, 2019, 40(2): 025010. doi: 10.1088/1361-6579/ab031c
    World Health Organization 2018. Chronic Obstructive Pulmonary Disease (COPD)[EB/OL]. https://www.who.int/respiratory/copd/en/, 2018.
    SHARAN R V, ABEYRATNE U R, SWARNKAR V R, et al. Predicting spirometry readings using cough sound features and regression[J]. Physiological Measurement, 2018, 39(9): 095001. doi: 10.1088/1361-6579/aad948
    ZHONG Nanshan, WANG Chen, YAO Wanzhen, et al. Prevalence of chronic obstructive pulmonary disease in china: A large, population-based survey[J]. American Journal of Respiratory and Critical Care Medicine, 2007, 176(8): 753–760. doi: 10.1164/rccm.200612-1749OC
    JOHNSON J D and THEURER W M. A stepwise approach to the interpretation of pulmonary function tests[J]. American Family Physician, 2014, 89(5): 359–366.
    MILLER M R, HANKINSON J, BRUSASCO V, et al. Standardisation of spirometry[J]. European Respiratory Journal, 2005, 26(2): 319–338. doi: 10.1183/09031936.05.00034805
    WAN E S, FORTIS S, REGAN E A, et al. Longitudinal phenotypes and mortality in preserved ratio impaired spirometry in the COPDgene study[J]. American Journal of Respiratory and Critical Care Medicine, 2018, 198(11): 1397–1405. doi: 10.1164/rccm.201804-0663OC
    RAO M V A, KAUSTHUBHA N K, YADAV S, et al. Automatic prediction of spirometry readings from cough and wheeze for monitoring of asthma severity[C]. The 25th European Signal Processing Conference, Kos, Greece, 2017: 41–45.
    SAHIN D, ÜBEYLI E D, ILBAY G, et al. Diagnosis of airway obstruction or restrictive spirometric patterns by multiclass support vector machines[J]. Journal of Medical Systems, 2010, 34(5): 967–973. doi: 10.1007/s10916-009-9312-7
    何子军. 呼气信号分析方法及其在肺功能检查中的应用研究[D]. [博士论文], 中国科学技术大学, 2014: 17–22.

    HE Zijun. The method for analyzing expiratory signals and its application in pulmonary function testing[D]. [Ph.D. dissertation], University of Science and Technology of China, 2014: 17–22.
    CHEN Xiaoying, WANG Na, CHEN Yue, et al. Costs of chronic obstructive pulmonary disease in urban areas of China: A cross-sectional study in four cities[J]. International Journal of Chronic Obstructive Pulmonary Disease, 2016, 11(1): 2625–2632.
    LOU P, ZHU Yanan, CHEN Peipei, et al. Vulnerability, beliefs, treatments and economic burden of chronic obstructive pulmonary disease in rural areas in China: A cross-sectional study[J]. BMC Public Health, 2012, 12: 287. doi: 10.1186/1471-2458-12-287
    BOSHNYAK L L, BYZOV L N, KAZNACHEEV B A, et al. Calibration of turbo-tachometric flowmeters[J]. Measurement Techniques, 1962, 5(7): 592–596. doi: 10.1007/BF00989035
    LOPATA V, POPOV A, ELSHABBAH M, et al. Dynamic errors of forced expiration measurements by spirometers[C]. The 35th IEEE International Conference on Electronics and Nanotechnology, Kiev, Ukraine, 2015: 406–408.
    SOKOL Y I, TOMASHEVSKY R S, and KOLISNYK K V. Turbine spirometers metrological support[C]. 2016 International Conference on Electronics and Information Technology, Odessa, Ukraine, 2016: 1–4.
    赵荣建, 周旺, 汤敏芳, 等. 四线涡轮式慢阻肺健康监护系统研究[J]. 电子与信息学报, 2019, 41(2): 469–476.

    ZHAO Rongjian, ZHOU Wang, TANG Minfang, et al. Research of chronic obstructive pulmonary disease monitoring system based on four-line turbine-type[J]. Journal of Electronics &Information Technology, 2019, 41(2): 469–476.
    文红燕. 涡轮流量计在线监测系统的研究[D]. [硕士论文], 中国计量大学, 2016: 8–14.

    WEN Hongyan. Research on the online monitoring system of turbine flow meter[D]. [Master dissertation], China Jiliang University, 2016: 8–14.
  • 加载中
图(6) / 表(1)
计量
  • 文章访问数:  2411
  • HTML全文浏览量:  1244
  • PDF下载量:  66
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-01-18
  • 修回日期:  2019-05-14
  • 网络出版日期:  2019-06-04
  • 刊出日期:  2019-10-01

目录

    /

    返回文章
    返回