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Monitoring and analysis of lung sounds remotely
Author(s) -
Sahgal
Publication year - 2011
Publication title -
international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s20067
Subject(s) - spectrogram , medicine , waveform , respiratory sounds , software , spectral density , lung , acoustics , fast fourier transform , speech recognition , computer science , real time computing , audiology , telecommunications , algorithm , radar , physics , asthma , programming language
Visual and auditory analysis of respiratory sound signals promises improved detection of certain types of lung diseases. LabVIEW software was used to design a system that monitors the respiratory activity of the patient. The program developed calculates the respiratory rate, displays the time expanded waveform of the lung sound, and computes the fast Fourier transform and short-time Fourier transform to present the power spectrum and spectrogram respectively. These parameters are transmitted synchronously to the remote station using the Internet for online monitoring of the patient.

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