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Towards FHR biometric identification: a comparison between compression and entropy based approaches

Title
Towards FHR biometric identification: a comparison between compression and entropy based approaches
Type
Article in International Conference Proceedings Book
Year
2018
Authors
Castro, L
(Author)
FMUP
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teixeira, a
(Author)
Other
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Santos, M
(Author)
Other
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Brás, S
(Author)
Other
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Conference proceedings International
Pages: 440-441
31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018
18 June 2018 through 21 June 2018
Other information
Authenticus ID: P-00P-E6F
Abstract (EN): In this study, fetal heart rate signal is used to exemplify the performance of compression and entropy based approaches in biometric identification. A total of 167 pairs of traces from real fetus are analyzed under the popular normalized compression distance, the recently proposed normalized relative compression measure and mutual information measure. The best performance was achieved with the normalized compression distance resulting in a misclassification rate of 12%. Fetal heart rate could be a relevant feature for biometric identification models, namely in multiple pregnancies. © 2018 IEEE.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 2
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