NDLI: JAMF-based representation for computational lung sound analysis

Content Provider	IEEE Xplore Digital Library
Author	Michiels, N. Walsh, E.P. Laurijssen, D. Leemans, G. De Backer, W. Steckel, J.
Copyright Year	2015
Description	Author affiliation: Univ. Hosp. of Antwerp, Antwerp, Belgium (Leemans, G.; De Backer, W.) \|\| ENM-FTEW Dept., Univ. of Antwerp, Antwerp, Belgium (Steckel, J.) \|\| Fac. of Appl. Eng., Univ. of Antwerp, Antwerp, Belgium (Michiels, N.; Walsh, E.P.; Laurijssen, D.)
Abstract	Obstructive lung disease is a category of respiratory disease characterized by an obstruction of the airflow, inflamed and/or easily collapsible airways, and mucus retention. Asthma, bronchiectasis, and chronic obstructive pulmonary disease (COPD) are the three main types of obstructive lung diseases. This type of diseases causes adventitious lung sounds which can be heard through lung auscultation. Physiotherapists can detect these sounds and use them to adapt their treatment. Physicians the world over are starting to rely more on computers than ever before. For lung auscultation data, this is mostly limited to representing the sound as a time-pressure graph or a spectrogram, while still doing the actual analysis themselves. Researchers however, have already shown the strength of computational lung sound analysis. In this paper, we propose the Joint Acoustic- and Modulation Frequency (JAMF) representation as a signal-processing technique for a lung-sound sensor which create a visually clean, simple and yet powerful representation which allows physicians to determine possible problems at first glance, with future possibilities for easy automatic analysis of the lung sounds.
Sponsorship	IEEE
Starting Page	1
Ending Page	4
File Size	851348
Page Count	4
File Format	PDF
e-ISBN	9781479982035
DOI	10.1109/ICSENS.2015.7370198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lungs Frequency modulation Medical services Acoustics Guidelines Sensitivity
Content Type	Text
Resource Type	Article

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