Performance evaluation of the Hilbert-Huang transform for respiratory sound analysis and its application to continuous adventitious sound characterization
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- 作者：Manuel Lozanoa ; c ; mlozanogar@gmail.com" class="auth_mail" title="E-mail the corresponding author ; José ; Antonio Fiza ; b ; d ; jafiz@msn.com" class="auth_mail" title="E-mail the corresponding author ; Raimon Jané ; a ; d ; e ; rjane@ibecbarcelona.eu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Hilbert&ndash ; Huang transform ; Ensemble empirical mode decomposition ; Instantaneous frequency ; Respiratory sounds ; Continuous adventitious sounds
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：120
- 期：Complete
- 页码：99-116
- 全文大小：4579 K
文摘
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The performance of the Hilbert–Huang transform for RS analysis is evaluated.
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EEMD and NA-MEMD are studied as means for preventing mode mixing in RS signals.
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We propose a number of parameters to assess mode mixing and select EEMD parameters.
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A high resolution and concentrated EEMD-Kay-based Hilbert spectrum is proposed.
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The Hilbert spectrum detects CAS more precisely than conventional TFDs.