Calculation of Forced Vital Capacity Based on Turbine Air Flow Sensor

Chenshuo WANG; Guangqiang HE; Yueqi LI; Rongjian ZHAO; Xianxiang CHEN; Lidong DU; Zhan ZHAO; Zhen FANG

doi:10.11999/JEIT190051

Volume 41 Issue 10

Oct. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(10): 2396-2401

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

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

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Calculation of Forced Vital Capacity Based on Turbine Air Flow Sensor

doi: 10.11999/JEIT190051

Chenshuo WANG^{1, 2},
Guangqiang HE^{1, 2},
Yueqi LI^{1, 2},
Rongjian ZHAO^{1, 2},
Xianxiang CHEN¹,
Lidong DU¹,
Zhan ZHAO^{1, 2},
Zhen FANG^{1, 2
,
,}

1.
State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The Key Project of Beijing Municipal Natural Science Foundation(Z16003), The National Key Research and Development Project(2016YFC1304302)

Received Date: 2009-01-18
Rev Recd Date: 2019-05-14

Available Online: 2019-06-04

Publish Date: 2019-10-01

Abstract

Abstract

Currently, the turbine air flow sensors are widely used to record the human exhalation signals in spirometry, but test results vary due to different expiratory flow for the same Forced Vital Capacity(FVC) measurements, and the differences are usually not in an acceptable range. To address this issue, a FVC velocity penalty model is proposed by introducing speed penalty items to the traditional mathematical model of turbine. Moreover, an over-amplitude drop sampling approach is used to calculate the rotations of the turbine due to the needs for the velocity penalty model to be able to accurately obtain the number of turbine rotations. The performance of the proposed approach is evaluated by using a syringe dispenser of 3L capacity, and results demonstrate that it can reduce the differences and meet the acceptable and accuracy criteria of the American Thoracic Society(ATS) and the European Respiratory Society(ERS) to some extent.
- Spirometry,
- Turbine sensors,
- Respiratory signal processing,
- Forced Vital Capacity(FVC),
- Chronic Obstructive Pulmonary Disease(COPD)

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References(19)

References

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