Paper Title:
Heart Sound Recognition - A Prospective Candidate for Biometric Identification
  Abstract

Based on principles of human heart auscultation and the associated signal processing technology, we designed and manufactured "a double-header two-way voice auscultation detection device". The paper introduced a special human feature extraction method which is based on improved circle convolution (ICC) slicing algorithm combined with independent sub-band function (ISF). Follow we adopt a fire-new classification technology namely s1 and s2 model which is through two recognition steps to get different human’s heart sound features to assure validity, and then use similarity distance to carry out human heart sound pattern matching. The method was verified using 10 recorded heart sounds. The results show that identification accuracy is 85.7% in the two-step mode, and the error acceptance rate is less than 7%,and refusing error rate is less than 10% for normal people.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
433-436
DOI
10.4028/www.scientific.net/AMR.225-226.433
Citation
X. F. Cheng, Y. W. Tao, Z. J. Huang, "Heart Sound Recognition - A Prospective Candidate for Biometric Identification", Advanced Materials Research, Vols. 225-226, pp. 433-436, 2011
Online since
April 2011
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Price
$32.00
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