Biometric recognition of newborns and young children for vaccinations and health care: a non-randomized prospective clinical trial

Although universal biometrics have been broadly called for, and there are many validated technologies to recognize adults, these technologies have been ineffective in newborns and young children. The present work describes the development and clinical testing of a fingerprint capture system for long...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scientific reports 2022-12, Vol.12 (1), p.22520-22520, Article 22520
Hauptverfasser: Kalisky, Tom, Saggese, Steven, Zhao, Yunting, Johnson, Daniel, Azarova, Maya, Duarte-Vera, Lilia Edith, Almada-Salazar, Lucila Alejandra, Perales-Gonzalez, Daniel, Chacon-Cruz, Enrique, Wang, Jiaxing, Graham, Rishi, Hubenko, Alexandra, Hall, Drew A., Aronoff-Spencer, Eliah
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Although universal biometrics have been broadly called for, and there are many validated technologies to recognize adults, these technologies have been ineffective in newborns and young children. The present work describes the development and clinical testing of a fingerprint capture system for longitudinal biometric recognition of newborns and young children to support vaccination and clinical follow-up. The reader consists of a high-resolution monochromatic imaging system with an ergonomic industrial design to comfortably support and align infant fingers for imaging without a platen. This imaging approach without a platen, also called free-space imaging, reduces fingerprint distortion and ensures a more consistent finger placement. This system was tested in a newborn ward and immunization clinic at an urban hospital in Baja, California, Mexico, from 2017 to 2019. Nearly five hundred children were enrolled and followed for up to 24 months. With a protocol of imaging all ten fingers, the failure to enroll (FTE) rate was 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-25986-6