Computerised Analysis of Telemonitored Respiratory Sounds for Predicting Acute Exacerbations of COPD

Computerised Analysis of Telemonitored Respiratory Sounds for Predicting Acute Exacerbations of COPD

Chronic obstructive pulmonary disease (COPD) is one of the commonest causes of death in the world and poses a substantial burden on healthcare systems and patients’ quality of life. The largest component of the related healthcare costs is attributable to admissions due to acute exacerbation (AECOPD)...

Full description

Bibliographic Details
Main Authors: Miguel Angel Fernandez-Granero, Daniel Sanchez-Morillo, Antonio Leon-Jimenez
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Sensors
Subjects:
chronic obstructive pulmonary disease
COPD
data-driven
early detection
exacerbation
lung sounds
machine learning
PCA
prediction
respiratory sounds
sensor
support vector machine
SVM
symptoms
telehealth
telemonitoring
Online Access:http://www.mdpi.com/1424-8220/15/10/26978

Internet

http://www.mdpi.com/1424-8220/15/10/26978

Similar Items