A New Biomarker in Diagnostic in Spirometry Exams with the Application of Wavelets

Authors

  • Rodrigo G.G. Piva FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil
  • Rodrigo Prior Bechelli FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil
  • Aldo Artur Belardi FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil

DOI:

https://doi.org/10.15377/2409-5761.2018.05.4

Keywords:

Biomarker, Spirometry, Wavelets.

Abstract

 This article presents a new medical biomarker that can be use in spirometry tests. These biomarker was obtained through a set of tests, where Meyer wavelet was applied and allows through one statistical analysis of the data obtained in pulmonary exams, could be possible to obtain numerical indicators that assist the physician achieve diagnosis in patients pulmonary function as normal, obstructive or restrictive.

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Author Biographies

  • Rodrigo G.G. Piva, FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil
    Electrical Engineering Department
  • Rodrigo Prior Bechelli, FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil
    Electrical Engineering Department
  • Aldo Artur Belardi, FEI University Center ́, Av. Humberto de AC Branco, 3.972, 09850-901 Sao ̃ Bernardo do Campo, Sao ̃ Paulo, Brazil
    Electrical Engineering Department

References

Benjamin M Lewis. Pitfalls of spirometry. Journal of occupational medicine: official publication of the Industrial Medical Association, 1981; 23(1): 23-35,. DOI: https://doi.org/10.1097/00043764-198101000-00016

Isabel Aragao˜ Maia. Avaliac¸ao˜ da func¸ao˜ pulmonar por espirometria na leish- maniose visceral. PhD thesis, Universidade de Sao˜ Paulo, 2015.

Renata Kalicka, Wojciech Slominski, and Krzysztof Kuziemski. The modeling of spirometry-the application for diagnostic purposes. In Information Technology, 2008. IT 2008. 1st International Conference on, pages 1-3. IEEE, 2008. DOI: https://doi.org/10.1109/INFTECH.2008.4621659

CA Castro Pereira. Espirometria em diretrizes para testes de func¸ao˜ pulmonary 2002. J Bras Pneumol 2002; 28(Supl 3): S2-S82.

L. Nandakumar and P. Nandakumar. A novel algorithm for spirometric signal processing and classification by evolutionary approach and its implementation on an arm embedded platform. In 2013 International Conference on Control Communication and Computing (ICCC) 2013; 384- 387. https://doi.org/10.1109/ICCC.2013.6731684 DOI: https://doi.org/10.1109/ICCC.2013.6731684

R. Kalicka, W. Slominski, and K. Kuziemski. Modelling of spirometry. diag- nostic usefulness of model parameters. In EUROCON 2007 - The International Conference on ”Computer as a Tool” 2007; 2137-2143. DOI: https://doi.org/10.1109/EURCON.2007.4400589

K. V. Madhav, E. H. Krishna, and K. A. Reddy. Extraction of respiratory activity from pulse oximeter’s ppg signals using msica. In 2016 International Confer- ence on Wireless Communications, Signal Processing and Networking (WiSPNET) 2016; 823-827. DOI: https://doi.org/10.1109/WiSPNET.2016.7566248

T. Kao, B. Amm, X. Wang, G. Boverman, D. Shoudy, J. Sabatini et al. Davenport. Real-time 3d electrical impedance imaging for ventilation and perfusion of the lung in lateral decubitus position. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2014; 1135-1138. DOI: https://doi.org/10.1109/EMBC.2014.6943795

F. Velickovski, L. Ceccaroni, R. Marti, F. Burgos, C. Gistau, X. Alsina-Restoy, and J. Roca. Automated spirometry quality assurance: Supervised learning from multiple experts. IEEE Journal of Biomedical and Health Informatics, 2018; 22(1): 276- 284. https://doi.org/10.1109/JBHI.2017.2713988 DOI: https://doi.org/10.1109/JBHI.2017.2713988

V. Viswanath, J. Garrison, and S. Patel. Spiroconfidence: Determining the valid- ity of smartphone based spirometry using machine learning. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology So- ciety (EMBC) 2018; 5499-5502. DOI: https://doi.org/10.1109/EMBC.2018.8513516

Gregg L Ruppel and Paul L Enright. Pulmonary function testing. Respiratory care, 2012; 57(1): 165-175. https://doi.org/10.4187/respcare.01640 DOI: https://doi.org/10.4187/respcare.01640

Deniz Sahin, Elif Derya Ubeyli, Gul Ilbay, Murat Sahin, and Alisan Burak Yasar. Diagnosis of airway obstruction or restrictive spirometric patterns by multiclass support vector machines. Journal of medical systems, 2010; 34(5): 967-973. https://doi.org/10.1007/s10916-009-9312-7 DOI: https://doi.org/10.1007/s10916-009-9312-7

Jungsil Lee, Choon-Taek Lee, Jae Ho Lee, Young-Jae Cho, Jong Sun Park, Yeon- Mok Oh, Sang-Do Lee, and Ho Il Yoon. Graphic analysis of flow-volume curves: a pilot study. BMC pulmonary medicine, 2016; 16(1): 18. https://doi.org/10.1186/s12890-016-0182-8 DOI: https://doi.org/10.1186/s12890-016-0182-8

Asaithambi Mythili, Subramanian Srinivasan, C Manoharan Sujatha, Ganesan Kavitha, and Swaminathan Ramakrishnan. Analysis of restrictive pulmonary function abnormality using spirometric investigations and qpso feature selection. International Journal of Biomedical Engineering and Technology, 2014; 16(3): 195-208. https://doi.org/10.1504/IJBET.2014.065803 DOI: https://doi.org/10.1504/IJBET.2014.065803

Aldo Artur Belardi and Antonio H Piccinini Neto. Mathematical modeling for determination the surface charge density and eddy current problem using the haar wavelet. Journal of Electrical Engineering, 2015; 3: 98-109. DOI: https://doi.org/10.17265/2328-2223/2015.02.006

Pedro Alberto Morettin. Ondas e Ondaletas Vol. 23. Edusp, 1999.

Xuying Zhang, Caixia Deng, and Yao Han. The image space of meyer wavelet transform. In Measurement, Information and Control (ICMIC), 2013 Interna- tional Conference on, IEEE, 2013; 2: 1136-1139. https://doi.org/10.1109/MIC.2013.6758159 DOI: https://doi.org/10.1109/MIC.2013.6758159

William John Palm. Introduction to matlab 7 for engineers 2005; 55-97.

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Published

2018-12-24

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Articles

How to Cite

A New Biomarker in Diagnostic in Spirometry Exams with the Application of Wavelets. (2018). Journal of Advances in Applied & Computational Mathematics, 5, 22-28. https://doi.org/10.15377/2409-5761.2018.05.4