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

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Castro, L (Author) FMUP; teixeira, a (Author) Other; Santos, M (Author) Other; Cristina Costa Santos (Author) FMUP; Brás, S (Author) Other

Conference proceedings International

Title: 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018

Pages: 440-441

31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018

18 June 2018 through 21 June 2018

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00P-E6F

DOI: 10.1109/cbms.2018.00085

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