DocumentCode :
2715468
Title :
Multimedia database "Marburg Respiratory Sounds (MARS)"
Author :
Gross, V. ; Hadjileontiadis, L.J. ; Penzel, Th ; Koehler, U. ; Ogelmeier, C.K.
Author_Institution :
Dept. of Respir. & Crit. Care Med., Philipps-Univ., Marburg, Germany
Volume :
1
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
456
Abstract :
Lung sounds and their relation with the pulmonary pathology make their accurate interpretation crucial. The traditional method of auscultation with the stethoscope is rather subjective and requires long experience. For the development of advanced detection algorithms of pathological lung sounds a large number of validated lung sound recordings are needed. In contrast to existing commercial lung sound CDs we compiled a database which contains many cases with typical auscultation findings and findings with difficult evaluation. A novelty is the combination between auscultation results and lung function parameters.
Keywords :
bioacoustics; biomedical measurement; medical diagnostic computing; medical signal processing; multimedia databases; patient diagnosis; Marburg Respiratory Sounds; advanced detection algorithms; auscultation; lung function parameters; lung sound recordings; lung sounds; multimedia database; pathological lung sounds; pulmonary pathology; Acoustic noise; Blood; Digital recording; Laboratories; Low pass filters; Lungs; Mars; Microphones; Multimedia databases; Pathology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279717
Filename :
1279717
Link To Document :
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