Heart sounds quality analysis for automatic cardiac biometry applications

In this paper we propose a cardiac biometric system for human identity verification based on an automatic selection algorithm of the best subsequence of a DHS (digital heart sound) signal. The quality score is based on the cepstral distance between homogeneous cardiac sounds. Performance of the algorithm proposed, expressed in terms of equal error rate, is similar to a DHS manual segmentation-based system, but offers the advantages of a fully automatic biometric application.