Title: A New Approach to Heart Sounds Biometric Recognition Based on Gram-PNN
Authors: Beritelli, Francesco
Capizzi, Giacomo
Citation: ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-5-III-6.
Issue Date: 2013
Publisher: University of West Bohemia
Document type: konferenční příspěvek
conferenceObject
URI: http://hdl.handle.net/11025/11483
ISBN: 978-80-261-0246-5
Keywords: biometrie;rozpoznávání srdečních ozev;pravděpodobnostní neuronové sítě;fonokardiogram
Keywords in different language: biometry;heart sound recognition;probabilistic neural networks;phonocardiogram
Abstract: In this paper we introduce a new approach to heart sounds biometric recognition based on Gram polynomials and probabilistic neural networks (PNN). The usage of heart sounds as physiological biometric traits was first introduced in [1], in which the authors proposed and started exploring this idea. Heart sound recognition is based on the analysis of PCG (PhonoCardioGram) sequences. The proposed system presents good performance obtaining an error rate of 13.70 % over a database of 50 people, containing multiple heart sequences per person, each lasting from 20 to 70 seconds.
Rights: © University of West Bohemia
Appears in Collections:ISTET 2013
ISTET 2013
ISTET 2013

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