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Reseach Article

Preliminary Detection of Respiratory Disorders for Rural Children using Modified Stethoscope

Published on March 2012 by Sibghatullah I. Khan, Naresh. P. Jawarkar, Vasif Ahmed
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 8
March 2012
Authors: Sibghatullah I. Khan, Naresh. P. Jawarkar, Vasif Ahmed
d207238a-49c3-491c-914b-2c41051563a4

Sibghatullah I. Khan, Naresh. P. Jawarkar, Vasif Ahmed . Preliminary Detection of Respiratory Disorders for Rural Children using Modified Stethoscope. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 8 (March 2012), 11-14.

@article{
author = { Sibghatullah I. Khan, Naresh. P. Jawarkar, Vasif Ahmed },
title = { Preliminary Detection of Respiratory Disorders for Rural Children using Modified Stethoscope },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 8 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 11-14 },
numpages = 4,
url = { /proceedings/ncipet/number8/5247-1059/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A Sibghatullah I. Khan
%A Naresh. P. Jawarkar
%A Vasif Ahmed
%T Preliminary Detection of Respiratory Disorders for Rural Children using Modified Stethoscope
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 8
%P 11-14
%D 2012
%I International Journal of Computer Applications
Abstract

This work embodies the development of simple and robust technique for preliminary detection of respiratory disorders like Bronchitis in the children living in the rural areas of resource poor countries like India by analysis of the lung sound recorded by Modified stethoscope without presence of medical practitioner. The method makes use of mel frequency cepstral coefficients of lung sound .Based on the statistical parameters of lung sound, neural network is trained. After proper training network is tested for 40 subjects out of which 20 were of normal and 20 of bronchitis. The method detects the disease with an accuracy of 90% and with specificity of 95%..The overall accuracy of this method is 92.5%. Future scope of the work is also discussed

References
  1. http://www.whoindia.org/LinkFiles/Human_Resources_Health_Workforce_in_India_-_Apr07.pdf
  2. Nurse, D. Philippines Health System [Report] Manila: Healthcare Information and Management Systems Society (HIMSS), EHR Global Task Force, 2009
  3. G. Charbonneau, E. Ademovic, B.M.G. Cheetham, L.P. Malmberg, J. Vanderschoot. A.R.A. Sovijärvi, “Basic techniques for respiratory sound analysis” , Eur Respir Rev 2000; 10: 77, 625–635.
  4. Antoni Homs-Corbera, José Antonio Fiz, José Morera, and Raimon Jané, “Time-Frequency Detection and Analysis of Wheezes During Forced Exhalation” , IEEE Trans. on Biomedical Engg, vol.51, No.1, January 2004.
  5. N. Gavriely, M. Nissan, D.W. Cugell, A.-H.E. Rubin, “Respiratory health screening using pulmonary function tests and lung sound analysis”, ERS Journals Ltd 1994, European Respiratory Jl, ISSN 0903 – 1936.
  6. H.E. Elphick, S. Ritson, H. Rodgers, M.L. Everard, “When a "wheeze" is not a wheeze: acoustic analysis of breath sounds in infants”, Eur Respir J 2000; 16: 593-597
  7. S. A. Taplidou, L. J. Hadjileontiadis, T. Penze1, V. Gross and S. M. Panas, “WED: An Efficient Wheezing-Episode Detector Based on Breath Sounds Spectrogram Analysis”, Proc. 25th Annual Intl Conference of the IEEE EMBS, Cancun, Mexico September 17-21,2003.
  8. Mireille Oud, Edo H. Dooijes, “,Automated Breath Sound Analysis”, 18th Annual International Conference of the IEEE EMBS, Amsterdam 1996.
  9. Robert P. Baughman, Robert G. Loudon, “Lung Sound Analysis for continuous Evaluation of Airflow Obstruction in Asthma”, Chest 1985;88;364-368.
  10. Baughman RP and Loudon RG, Quantitation of wheezing in acute asthma, Chest 1984; 86; 719-22.
  11. Lung Sound Recognition Using Model-Theory Based Feature Selection and Fusion, Zbigniew Korona and Mieczyslaw M. Kokar, Department of Electrical and Computer Engineering, Northeastern University, 360 Huntington Avenue, Boston, MA 02115.
  12. N. P. Jawarkar, Vasif Ahmed, S. A. Ladhake and R. D. Thakare, “Microcontroller based Remote Monitoring using Mobile through spoken commands”, Jl. of Networks, Vol. 3, No. 2, pp 58-63, Feb 2008.
  13. N. P. Jawarkar, Vasif Ahmed and S. A. Ladhake, “Versatile Low Cost Cell Phone Based Monitoring”, Proc. 4th IEEE Workshop EXPONWIRELESS ’09, Kos, Greece, June 15-19, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

MFCC Modified Stethoscope Lung Sound Analysis Neural network