Ear biometrics for patient identification in global health: a field study to test the effectiveness of an image stabilization device in improving identification accuracy

Background In many low and middle-income countries (LMICs), difficulties in patient identification are a major obstacle to the delivery of longitudinal care. In absence of unique identifiers, biometrics have emerged as an attractive solution to the identification problem. We developed an mHealth App...

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Vydáno v:	BMC medical informatics and decision making Ročník 19; číslo 1; s. 114 - 9
Hlavní autoři:	Etter, Lauren P., Ragan, Elizabeth J., Campion, Rachael, Martinez, David, Gill, Christopher J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 18.06.2019 BioMed Central Ltd Springer Nature B.V BMC
Témata:	Accuracy Adult Algorithms Analysis Biometric Identification Biometrics Biometry Child care Child health Clinical trials Computer science Ear Ear biometrics Ears & hearing Electronic medical record Electronic records Engineering Experiments Feasibility studies Female Field study Global Health Health Informatics Humans Identification Image databases Image processing equipment Image stabilizers Information Systems and Communication Service International conferences Lighting machine learning Male Management of Computing and Information Systems Medical records Medical research Medicine Medicine & Public Health modeling Morphology Patient identification Patient Identification Systems Pattern recognition Pediatrics Public health Search algorithms Sensitivity analysis Smartphones Stabilization Technical Advance technology Telemedicine World health Zambia Global health Pattern recognition algorithm Identification Patient identification Ear biometrics Public health Electronic medical record Image stabilization
ISSN:	1472-6947, 1472-6947
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Popis
Shrnutí:	Background In many low and middle-income countries (LMICs), difficulties in patient identification are a major obstacle to the delivery of longitudinal care. In absence of unique identifiers, biometrics have emerged as an attractive solution to the identification problem. We developed an mHealth App for subject identification using pattern recognition around ear morphology (Project SEARCH (Scanning EARS for Child Health). Early field work with the SEARCH App revealed that image stabilization would be required for optimum performance. Methods To improve image capture, we designed and tested a device (the ‘Donut’), which standardizes distance, angle, rotation and lighting. We then ran an experimental trial with 194 participants to measure the impact of the Donut on identification rates. Images of the participant’s left ear were taken both with and without use of the Donut, then processed by the SEARCH algorithm, measuring the top one and top ten most likely matches. Results With the Donut, the top one identification rate and top ten identification rates were 99.5 and 99.5%, respectively, vs. 38.4 and 24.1%, respectively, without the Donut ( P < 0.0001 for each comparison). In sensitivity analyses, crop technique during pre-processing of images had a powerful impact on identification rates, but this too was facilitated through the Donut. Conclusions By standardizing lighting, angle and spatial location of the ear, the Donut achieved near perfect identification rates on a cohort of 194 participants, proving the feasibility and effectiveness of using the ear as a biometric identifier. Trial registration This study did not include a medical intervention or assess a medical outcome, and therefore did not meet the definition of a human subjects research study as defined by FDAAA. We did not register our study under clinicaltrials.gov .
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1472-6947 1472-6947
DOI:	10.1186/s12911-019-0833-9