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Human identity verification based on Mel frequency analysis of digital heart sounds

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2 Author(s)
Beritelli, F. ; Dipt. di Ing. Inf. e delle Telecomun., Univ. of Catania, Catania, Italy ; Spadaccini, A.

This paper presents new results in human identity verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a pattern recognition approach based on a feature set of 13 Mel Frequency Cepstral Coefficients (MFCCs) extracted from the first (S1) and second (S2) heart sounds and a metric based on the power ratio of S1 to S2. The new algorithm yields significantly better performances with respect to the previous method based on the Chirp z-transform, guaranteeing an equal error rate (EER) below 9%.

Published in:

Digital Signal Processing, 2009 16th International Conference on

Date of Conference:

5-7 July 2009