Comput. Biol. Med. - Probing the existence of medium pulmonary crackles via model-based clustering.

Tópicos

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Resumo

The objective of this study is to probe the existence of a third crackle type, medium, besides the traditionally accepted types, namely, fine and coarse crackles and, furthermore, to explore the representative parameter values for each crackle type. A set of clustering experiments have been conducted on pulmonary crackles to this end. A model-based clustering algorithm, the Expectation-Maximization algorithm, is used and the resulting cluster numbers are validated with Bayesian Inference Criterion. Four different feature sets are extracted from the preprocessed crackle samples, the first of which consists of conventional parameters derived from the zero-crossings of crackle waveforms. The second feature set corresponds to the spectral components of the crackles, whereas the remaining two sets are derived from a single- and double-nodes wavelet network modeling. The results of the clustering experiments demonstrate strong evidence for the existence of a third crackle type. Moreover the labels yielded by clustering experiments, using different feature sets match for roughly 80% or more of the crackle samples, resulting in similar representative crackle parameter values of the three clusters for all feature sets.

Resumo Limpo

object studi probe exist third crackl type medium besid tradit accept type name fine coars crackl furthermor explor repres paramet valu crackl type set cluster experi conduct pulmonari crackl end modelbas cluster algorithm expectationmaxim algorithm use result cluster number valid bayesian infer criterion four differ featur set extract preprocess crackl sampl first consist convent paramet deriv zerocross crackl waveform second featur set correspond spectral compon crackl wherea remain two set deriv singl doublenod wavelet network model result cluster experi demonstr strong evid exist third crackl type moreov label yield cluster experi use differ featur set match rough crackl sampl result similar repres crackl paramet valu three cluster featur set

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