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Volumn , Issue , 2009, Pages

Noise components identification in biomedical signals based on empirical mode decomposition

Author keywords

Biomedical signal; Empirical mode decomposition; Hilbert huang transform; IMF; Noise components; Partial signal reconstruction; Statistical significance

Indexed keywords

BIOMEDICAL SIGNAL; EMPIRICAL MODE DECOMPOSITION; HILBERT HUANG TRANSFORMS; IMF; NOISE COMPONENTS; STATISTICAL SIGNIFICANCE;

EID: 77949630339     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2009.5394300     Document Type: Conference Paper
Times cited : (21)

References (13)
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    • Abel Torres, Member IEEE, José A. Fiz, Raimon Jané, Member IEEE, Juan B. Galdiz, Joaquim Gea, Josep Morera, Application of the Empirical Mode Decomposition method to the Analysis of Respiratory Mechanomyographic Signals, Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France
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    • Charleston-Villalobos, S.; Gonzalez-Camarena, R.; Chi-Lem, G.; Aljama-Corrales, T. Crackle Sounds Analysis By EprclMode Decomposition. Engineering in Medicine and Biology Magazine, IEEE Vol. 26, Issue 1, Jan.-Feb. 2007 Page(s):40-47
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    • The application of empirical mode decomposition for the enhancement of cardiotocograph signals
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  • 10
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    • Empirical Mode Decomposition as a filter bank. IEEE Signal Process
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    • A. Karagiannis, Ph. Constantinou, Comparative study of Empirical Mode Decomposition applied in experimental biosignals BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on Issue, 8-10 Oct. 2008 Page(s):1-6
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.