Computerized analysis of respiratory sounds during COPD exacerbations
Autor: | Antonio León Jiménez, Daniel Sánchez Morillo, Sonia Astorga Moreno, Miguel Ángel Fernández Granero |
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Rok vydání: | 2013 |
Předmět: |
Male
medicine.medical_specialty Acute exacerbation of chronic obstructive pulmonary disease Exacerbation Health Informatics Disease Pulmonary Disease Chronic Obstructive otorhinolaryngologic diseases medicine Cluster Analysis Humans In patient Respiratory sounds Intensive care medicine Aged Monitoring Physiologic Respiratory Sounds Aged 80 and over Principal Component Analysis COPD medicine.diagnostic_test business.industry Computerized analysis Reproducibility of Results Signal Processing Computer-Assisted medicine.disease Computer Science Applications Abnormal respiratory sounds Female business |
Zdroj: | Computers in Biology and Medicine. 43:914-921 |
ISSN: | 0010-4825 |
DOI: | 10.1016/j.compbiomed.2013.03.011 |
Popis: | Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a major event in the natural course of the disease, and is associated with significant mortality and socioeconomic impact. Abnormal respiratory sounds are commonly present in patients with AECOPD. Computerized analysis of these sounds can assist in diagnosis and in evaluation during follow-up. Exploratory data analysis methods were applied to respiratory sounds in these patients when they were hospitalized because of exacerbation. Two different patterns of presentation and evolution of respiratory sounds in AECOPD were found and described from the method of computerized respiratory sound analysis and unsupervised clustering that was devised. Based on the findings of the study, remote monitoring of respiratory sounds may be useful for the detection and/or follow-up of COPD exacerbation. |
Databáze: | OpenAIRE |
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