Computerized Classification of Normal and Abnormal Lung Sounds by Multivariate Linear Autoregressive Model

This work proposes multichannel acquisition of lung sounds by a microphone array, feature extraction by a multivariate AR (MAR) model, dimensionality reduction of the feature vectors (FV) by SVD and PCA and, their classification by a supervised neural network. A microphone array of 25 sensors was at...

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Veröffentlicht in:	Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Jg. 2005; S. 5999 - 6002
Hauptverfasser:	Martinez-Hernandez, H.G., Aljama-Corrales, C.T., Gonzalez-Camarena, R., Charleston-Villalobos VS, Chi-Lem, G.
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2005
Schlagworte:	Acoustic sensors Acoustic testing Backpropagation algorithms Feature extraction Lungs Microphone arrays Neural networks Principal component analysis Sensor arrays Vectors
ISBN:	0780387414, 9780780387416
ISSN:	1094-687X, 1557-170X
Online-Zugang:	Volltext
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