DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope

In this paper, an automatic wheeze and crackle detection system is developed. Lung sounds are recorded in a wave file using an acoustical stethoscope amplifier circuit connected to the Blackfin 537 DSP board. The spectrogram is generated from the recorded wave file using Fast Fourier Transfor (FFT)....

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Main Authors: Alzona, Wilfredo M., Co, Chester Carrick T., David, Leonard B., Villaseran, Philip O.
Format: text
Language:English
Published: Animo Repository 2008
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14376
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-150182021-11-19T01:15:31Z DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope Alzona, Wilfredo M. Co, Chester Carrick T. David, Leonard B. Villaseran, Philip O. In this paper, an automatic wheeze and crackle detection system is developed. Lung sounds are recorded in a wave file using an acoustical stethoscope amplifier circuit connected to the Blackfin 537 DSP board. The spectrogram is generated from the recorded wave file using Fast Fourier Transfor (FFT). The spectrogram image is passed through a bilateral filter and a limiter to increase the contrast and isolate the higher components. Image processing is used to detect wheezes in the image. Katz-Sevcik fractal dimension (KSFD) is then used to detect crackles. KSFD measures the complexity of a signal. Applying the concepts and techniques used in this study, the system was able to correctly detect normal sounds with an accuracy of 75%, wheezes with an accuracy of 62.5% and crackles with an accuracy of 91.67%. 2008-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14376 Bachelor's Theses English Animo Repository Acoustical engineering Stethoscopes Auscultation Respiratory organs--Sounds Pulmonary manifestations of general diseases Sound waves Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Acoustical engineering
Stethoscopes
Auscultation
Respiratory organs--Sounds
Pulmonary manifestations of general diseases
Sound waves
Engineering
spellingShingle Acoustical engineering
Stethoscopes
Auscultation
Respiratory organs--Sounds
Pulmonary manifestations of general diseases
Sound waves
Engineering
Alzona, Wilfredo M.
Co, Chester Carrick T.
David, Leonard B.
Villaseran, Philip O.
DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
description In this paper, an automatic wheeze and crackle detection system is developed. Lung sounds are recorded in a wave file using an acoustical stethoscope amplifier circuit connected to the Blackfin 537 DSP board. The spectrogram is generated from the recorded wave file using Fast Fourier Transfor (FFT). The spectrogram image is passed through a bilateral filter and a limiter to increase the contrast and isolate the higher components. Image processing is used to detect wheezes in the image. Katz-Sevcik fractal dimension (KSFD) is then used to detect crackles. KSFD measures the complexity of a signal. Applying the concepts and techniques used in this study, the system was able to correctly detect normal sounds with an accuracy of 75%, wheezes with an accuracy of 62.5% and crackles with an accuracy of 91.67%.
format text
author Alzona, Wilfredo M.
Co, Chester Carrick T.
David, Leonard B.
Villaseran, Philip O.
author_facet Alzona, Wilfredo M.
Co, Chester Carrick T.
David, Leonard B.
Villaseran, Philip O.
author_sort Alzona, Wilfredo M.
title DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
title_short DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
title_full DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
title_fullStr DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
title_full_unstemmed DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
title_sort dsp board-based pulmonary symptoms detection using sound processing through acoustical stethoscope
publisher Animo Repository
publishDate 2008
url https://animorepository.dlsu.edu.ph/etd_bachelors/14376
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