Automated analysis of squawks

R. Murphy, A. Vyshedskiy, R. Paciej (Boston, United States Of America)

Source: Annual Congress 2004 - Community acquired pneumonia
Session: Community acquired pneumonia
Session type: Thematic Poster Session
Number: 1179
Disease area: Interstitial lung diseases

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:
R. Murphy, A. Vyshedskiy, R. Paciej (Boston, United States Of America). Automated analysis of squawks. Eur Respir J 2004; 24: Suppl. 48, 1179

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:
Quantitative proteomic analysis: methods and applications
Source: Lung Science Conference 2004 - Application of our knowledge of the basic processes of lung inflammation in lung diseases
Year: 2004


Critical analysis of diagnostic techniques
Source: Annual Congress 2003 - The diagnosis and prevention of ventilator-associated pneumonia
Year: 2003

Quantitative bacterial analysis, validation of a simple method
Source: Eur Respir J 2004; 24: Suppl. 48, 80s
Year: 2004

Automatic lung sound analysis accuracy: a validation study
Source: Virtual Congress 2021 – Digital health interventions in respiratory medicine
Year: 2021


Automated volumetric quantification of lung emphysema: comparative analysis of different software products results.
Source: Virtual Congress 2020 – Investigations of COPD
Year: 2020


Modern approaches to statistical analysis and interpretation of results
Source: Annual Congress 2008 - PG10 - Getting it right – planning, realising, analysing and publishing research projects
Year: 2008

Research methodology and data analysis
Source: International Congress 2015 – ME11 Research methodology and data analysis
Year: 2015

Late Breaking Abstract - Development and validation of an automated radiomic CT signature for detecting?COVID-19
Source: Virtual Congress 2020 – Covering COVID - the best abstracts
Year: 2020



Semantic pattern analysis of patient perceptions using automated co-occurrence information mapping
Source: Annual Congress 2012 - Improving education for the healthcare team and patients
Year: 2012

‘E-Noting Nodulomics’: Automating Electronic Clinical Data Mining and Analysis of Pulmonary Nodules Using a Python Algorithm
Source: International Congress 2018 – Lung cancer: from early diagnosis to modern monitoring strategies
Year: 2018




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

Automated detection of cough events with a Smartphone
Source: Virtual Congress 2021 – Management of chronic cough and obstructive diseases
Year: 2021


Workstation 1: Approach to full polysomnography: the basic techniques in terms of setting up and wiring up
Source: International Congress 2015 – EW27 Hands-on polysomnography
Year: 2015


NeuroStation – Statistical software based on artificial intelligence and pattern recognition for NSCLC development prediction through comprehensive biomarker analysis
Source: Annual Congress 2011 - Quality management for lung cancer patients
Year: 2011


Single cell ‘omics analysis
Source: ERS Lung Science Conference 2016
Year: 2016

Validation of manual and automated wheezing detection from audio recordings
Source: Virtual Congress 2021 – New insights into lung function testing
Year: 2021


Spirometry longitudinal data analysis software (SPIROLA) in a routine clinical laboratory
Source: International Congress 2014 – Respiratory function: quality and new technologies
Year: 2014

The application of computer programmes Selector and MultiSel in quantitative and qualitative analysis of pollen grains
Source: Eur Respir J 2004; 24: Suppl. 48, 97s
Year: 2004