Tag: biometric identification technique

Expert Consensus on ECG Identification Applied in the Insurance Industry

Announcing a new article publication for Cardiovascular Innovations and Applications journal.  Electrocardiograms (ECGs) have the potential to be used as a reliable source of information for human identity recognition due to their universality, portability, and unique and stable biological identification features. This method enriches and refines existing biometric identification techniques, and is suitable for customer identity identification in the insurance industry. This article:

  • Introduces biometric identification techniques commonly used in the insurance industry, including ECG biometric identification techniques, and their advantages;
  • Discusses major aspects of ECG biometric identification techniques;
  • Systematically reviews the most recent advances in ECG identification and extraction characteristics from research in China and other countries;
  • Outlines the technical aspects of using ECGs for recognizing client identity in the insurance industry;
  • And discusses the future of ECGs in identity recognition.

This article is aimed at further promoting the application of living personal ECG identification techniques in the insurance industry, and extending it to areas including medical insurance, banking, justice, public security, military, government, enterprises, and other departments and areas in which identification is needed to promote social stability and national security.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0061

CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Zhongjian Li, Kangyin Chen and Shifeng Li et al. Expert Consensus on ECG Identification Applied in the Insurance Industry. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0061

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