English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Biometric identi cation techniques are widely used as individual identication methods in security systems. We have studied the high frequency component of electrocardiogram (HFECG) as a new biometric modality. In this technique, a HFECG segment containing individual characteristics is extracted and used for identi cation. Identi cation performance depends greatly on extraction accuracy, but the current extraction method using the peak point on R waves as ducial points can result in unsatisfactory performance. In this study, we propose a new ducial point determination technique utilizing waveforms transformed from ECGs. The algorithm is based on differential calculus and produces suf cient performance despite having less complexity than other signal detection techniques. Comparative evaluation established that identi cation performance was improved using the new method.

Improvement and Evaluation of an Individual Identification System Using High Frequency Electrocardiogram