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Review of Feature Extraction from Exhaled Aerosol Fingerprints to Diagnose Lung Structural Remolding

Author

Listed:
  • Jinxiang Xi

    (Department of Biomedical Engineering, USA)

  • Xiuhua April Si

    (Department of Aerospace, Industrial and Mechanical Engineering, USA)

Abstract

Previous studies indicated that the patterns of the exhaled aerosol distributions, even though seemingly chaotic, are indeed unique with respect to the airway geometry. These patterns will differ whenever there is a change to the airway geometry...

Suggested Citation

  • Jinxiang Xi & Xiuhua April Si, 2018. "Review of Feature Extraction from Exhaled Aerosol Fingerprints to Diagnose Lung Structural Remolding," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 11(3), pages 8504-8508, November.
    • Handle: RePEc:abf:journl:v:11:y:2018:i:3:p:8504-8508
    DOI: 10.26717/BJSTR.2018.11.002097
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    References listed on IDEAS

    as
    1. Jinxiang Xi & Weizhong Zhao & Jiayao Eddie Yuan & JongWon Kim & Xiuhua Si & Xiaowei Xu, 2015. "Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-19, September.
    2. Hua, Jia-Chen & Roy, Sukesh & McCauley, Joseph L. & Gunaratne, Gemunu H., 2016. "Using dynamic mode decomposition to extract cyclic behavior in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 172-180.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research; Lung Diagnosis; Obstructive Lung Diseases; Breath Test; Exhaled Aerosol Fingerprint;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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