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Automatic Wheeze Detection in Lung Sounds

K.S. Kulkarni1 , S.S. Chorage2

  1. Electronics and Telecommunication, BVCOEW Pune, Savitribai Phule Pune University, Pune, India.
  2. Electronics and Telecommunication, BVCOEW Pune, Savitribai Phule Pune University, Pune, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 106-110, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.106110

Online published on May 31, 2018

Copyright © K.S. Kulkarni, S.S. Chorage . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K.S. Kulkarni, S.S. Chorage, “Automatic Wheeze Detection in Lung Sounds,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.106-110, 2018.

MLA Style Citation: K.S. Kulkarni, S.S. Chorage "Automatic Wheeze Detection in Lung Sounds." International Journal of Computer Sciences and Engineering 6.5 (2018): 106-110.

APA Style Citation: K.S. Kulkarni, S.S. Chorage, (2018). Automatic Wheeze Detection in Lung Sounds. International Journal of Computer Sciences and Engineering, 6(5), 106-110.

BibTex Style Citation:
@article{Kulkarni_2018,
author = {K.S. Kulkarni, S.S. Chorage},
title = {Automatic Wheeze Detection in Lung Sounds},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {106-110},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1945},
doi = {https://doi.org/10.26438/ijcse/v6i5.106110}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.106110}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1945
TI - Automatic Wheeze Detection in Lung Sounds
T2 - International Journal of Computer Sciences and Engineering
AU - K.S. Kulkarni, S.S. Chorage
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 106-110
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Lung disease is mainly characterized by the variations that occur in breathing sound of human being. The variations are characterized as wheezes, crackles, etc. Wheezes are one of the most important adventitious sounds in pulmonary system. They are observed in asthma, chronic obstructive pulmonary disease (COPD) and bronchitis. The current method of detecting a lung disease for example asthma involves usage of spirometers and stethoscope. The results with these techniques are not efficient. A wheezing detection system may help physicians to monitor patients over the long-term. This technique involves on board capture and processing methodology. This paper involves the system for breath sound acquisition and real time pre-processing and detection of abnormality in lung sounds using DSP processor. The aim of the system is to design and develop portable device for acquisition and detection of abnormality in lung sounds.

Key-Words / Index Term

Lung Diseases, Stethoscope, DSP Processor, FFT, Wheeze, Android application

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