Automatic identification of Chronic Obstructive Pulmonary Disease Based on forced oscillation measurements and artificial neural networks

The purpose of this study is to develop an automatic classifier based on Artificial Neural Networks (ANNs) to help the diagnostic of Chronic Obstructive Pulmonary Disease (COPD) using forced oscillation measurements (FOT). The classifier inputs are the parameters provided by the FOT and the output i...

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Veröffentlicht in:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, Vol.2010, p.1394-1397
Hauptverfasser:	Amaral, J L M, Faria, A C D, Lopes, A J, Jansen, J M, Melo, P L
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aged Algorithms Artificial neural networks Biomedical measurements Diagnosis, Computer-Assisted - methods Diseases Female Humans Male Middle Aged Neural Networks (Computer) Neurons Oscillators Oscillometry - methods Pattern Recognition, Automated - methods Pulmonary Disease, Chronic Obstructive - diagnosis Reproducibility of Results Respiratory Function Tests - methods Sensitivity and Specificity Training
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