title: Feature extraction based on mel-scaled wavelet transform for heart sound analysis.
abstract: To provide a robust representation of heart sound signal in an automatic heart disease diagnosis system, a melscaled wavelet transform has been developed. It combines the advantages of linear perceptual scale by mel mapping with the suitability of analyzing non-stationary signals by wavelet transform. The heart sound signal is firstly divided into windowing frames. A set of mel-scaled filterbank is then used to calculate the mel-warped spectrum, which is followed by a wavelet transform to extract the mel-scaled wavelet features. The performance of the proposed algorithm is evaluated for heart sound analysis using clean and noisy data, and compared with the standard mel-frequency cepstral coefficients. Results show that the proposed approach provides a robust representation of heart sound signal in noisy environment.
authors.affiliation: BioMedical Engineering Research Centre, Nanyang Technological University, Singapore.
authors.forename: P
authors.initials: P
authors.lastname: Wang
authors.forename: Y
authors.initials: Y
authors.lastname: Kim
authors.forename: C
authors.initials: C
authors.lastname: Soh