2010 3rd International Congress on Image and Signal Processing · 2010 · 42 citations · 4 references
EngineeringBioengineeringBiomedical EngineeringBiomedical Signal ProcessingClinical CardiologyTime Series AnalysisCardiac Signal ProcessingDigital Signal ProcessingDynamic Time WarpingTime Series ClassificationTime Series Feature ExtractionTime-frequency AnalysisAutomatic Identification SystemBeat ClassificationCardiac Feature ExtractionCepstral CoefficientsHeart Sound AnalysisSound Pattern RecognitionTime-frequency Feature ExtractionTime-frequency Pattern Recognition
Recently, more and more intelligent algorithms are applied to biomedical, which have improved the biomedical data analysis and classification greatly. In this paper, a new method of automatic identification of heart sound by using DTW (dynamic time warping) and MFCC (Mel-frequency cepstral coefficients) of heart is introduced. MFCC of heart sound are extracted, and then DTW is used to identify heart sound. The experimental results show that the methods have good performance in heart sound recognition.
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On-line signature verification
Anil K. Jain, Friederike D. Griess, S.D. Connell · Pattern Recognition · 2002 · 548 citations
Computing Mel-frequency cepstral coefficients on the power spectrum
Sirko Molau, Michael Pitz, Ralf Schlüter et al. · 2002 · 237 citations
Language Studies, Computer Science, Computational Linguistics +14