TY - GEN
T1 - Denoising and characterization of heart sound signals using optimal intrinsic mode functions
AU - Boutana, Daoud
AU - Benidir, M.
AU - Barkat, B.
PY - 2011
Y1 - 2011
N2 - Empirical mode decomposition (EMD) allows decomposing an observed multicomponent signal into a set of monocomponent signals, called Intrinsic Mode Functions (IMFs). The aim of this paper is to characterize some heart sound (HS) signals embedded in noise using the EMD approach. In particular, the proposed technique automatically selects the most appropriate IMFs achieving the denoising based on EMD and Euclidean measure. Synthetic and real-life signals are used in the various examples to validate, and demonstrate the effectiveness, of the proposed method. Furthermore, this technique is compared to the commonly known approach based on the noise model.
AB - Empirical mode decomposition (EMD) allows decomposing an observed multicomponent signal into a set of monocomponent signals, called Intrinsic Mode Functions (IMFs). The aim of this paper is to characterize some heart sound (HS) signals embedded in noise using the EMD approach. In particular, the proposed technique automatically selects the most appropriate IMFs achieving the denoising based on EMD and Euclidean measure. Synthetic and real-life signals are used in the various examples to validate, and demonstrate the effectiveness, of the proposed method. Furthermore, this technique is compared to the commonly known approach based on the noise model.
KW - biomedical signal processing
KW - denoising
KW - empirical mode decompossition
KW - Euclidean distance
KW - first heart sound signal
KW - second heart sound signal
UR - https://www.scopus.com/pages/publications/84856727935
U2 - 10.1145/2093698.2093724
DO - 10.1145/2093698.2093724
M3 - Conference contribution
AN - SCOPUS:84856727935
SN - 9781450309134
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
T2 - 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
Y2 - 26 October 2011 through 29 October 2011
ER -