The wavelet transformation for the detection of pathological lung sounds

V. Gross, T. Penzel, U. Koehler, P. von Wichert, C. Vogelmeier (Marburg, Germany)

Source: Annual Congress 2001 - Inflammation markers and other respiratory measurements
Session: Inflammation markers and other respiratory measurements
Session type: Thematic Poster Session
Number: 3079

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
V. Gross, T. Penzel, U. Koehler, P. von Wichert, C. Vogelmeier (Marburg, Germany). The wavelet transformation for the detection of pathological lung sounds. Eur Respir J 2001; 16: Suppl. 31, 3079

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Efficient extraction of fine/coarse crackles and squawks from lung sound recordings using wavelet packets and higher-order statistics
Source: Eur Respir J 2002; 20: Suppl. 38, 33s
Year: 2002

On efficiently detecting fine/coarse crackles and squawks in lung sound recordings by means of fractal dimension
Source: Eur Respir J 2002; 20: Suppl. 38, 33s
Year: 2002

The use of computer aided lung sound analysis to characterise lung sounds in a healthy population
Source: Annual Congress 2009 - Respiratory physiotherapy assessment
Year: 2009


Application of the percussion signal shape for pulmonary pathologies detection
Source: Eur Respir J 2005; 26: Suppl. 49, 259s
Year: 2005

On efficiently categorising fine and coarse crackles using continuous wavelet transform
Source: Eur Respir J 2004; 24: Suppl. 48, 123s
Year: 2004

Power spectral analysis of lung sound in patients with emphysema and in normal subjects
Source: Eur Respir J 2001; 18: Suppl. 33, 461s
Year: 2001

Diagnostic accuracy of COPD severity grading using machine learning features and lung sounds.
Source: International Congress 2019 – Innovations in primary care assessment and management
Year: 2019


Inter-reader variation in lung segmentation of functional lung MRI quantification.
Source: International Congress 2019 – Physiology of cystic fibrosis
Year: 2019

Diagnostic accuracy of asthma severity grading using machine learning features and lung sounds
Source: International Congress 2018 – Innovations in equipment and their application
Year: 2018




Automatic wheezing-episode detector using spectrogram analysis of breath sounds
Source: Eur Respir J 2003; 22: Suppl. 45, 446s
Year: 2003

Fine crackles quantitative value can help the diagnosis of interstitial lung diseases – Clinical utility of the innovative analyzing system of respiratory sounds
Source: International Congress 2019 – Innovations in primary care assessment and management
Year: 2019

Possibilities of neural networks in the X-ray detection of lung pathology and diagnosis of pneumonia
Source: Virtual Congress 2020 – New imaging techniques applied to old problems
Year: 2020


Lung sounds in patients with asbestos-associated pleural fibrosis, asbestosis or other lung fibrosis, objectified with vibration response imaging
Source: Annual Congress 2008 - Inorganic dust exposure and the lung
Year: 2008


Spectral bronchoscopy for evaluation of tissue vascular properties in lung cancer
Source: Annual Congress 2007 - Interventional bronchoscopy
Year: 2007


Detection of breath-synchronous variation of lung sound phase and amplitude at neighboring sites
Source: Eur Respir J 2001; 18: Suppl. 33, 259s
Year: 2001

Improving lung cancer diagnosis from exhaled-breath analysis by adding clinical parameters to the artificial neural network
Source: International Congress 2019 – Diagnostic procedures and biology of lung cancer
Year: 2019



One lung ventilation: use of the impulse oscillation system to assess lung function in an animal model
Source: Annual Congress 2008 - Assessment of the respiratory system
Year: 2008


Crackle sound analysis in a porcine ARDS model to create a non-invasive recruitment monitoring
Source: Annual Congress 2008 - Pathophysiology of acute lung injury
Year: 2008



Towards the standardisation of lung sound nomenclature
Source: Eur Respir J 2016; 47: 724-732
Year: 2016