Welcome to the InfoSci Platform
Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System

Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System

Judith Jumig Azcarraga, John Zachary Raduban, Ma. Christine Gendrano, Arnulfo P. Azcarraga
Copyright: © 2019 |Volume: 10 |Issue: 2 |Pages: 19
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781522566656|DOI: 10.4018/IJEHMC.2019040103
Cite Article Cite Article

MLA

Azcarraga, Judith Jumig, et al. "Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System." IJEHMC vol.10, no.2 2019: pp.44-62. http://doi.org/10.4018/IJEHMC.2019040103

APA

Azcarraga, J. J., Raduban, J. Z., Gendrano, M. C., & Azcarraga, A. P. (2019). Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System. International Journal of E-Health and Medical Communications (IJEHMC), 10(2), 44-62. http://doi.org/10.4018/IJEHMC.2019040103

Chicago

Azcarraga, Judith Jumig, et al. "Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System," International Journal of E-Health and Medical Communications (IJEHMC) 10, no.2: 44-62. http://doi.org/10.4018/IJEHMC.2019040103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Tele-medicine systems run the risk of unauthorized access to medical records, and there is greater possibility for the unlawful sharing of sensitive patient information, including children, and possibly showing their private parts. Aside from violating their right to privacy, such practices discourage patients from subjecting themselves to tele-medicine. The authors thus present an automatic identity concealment system for pictures, the way it is designed in the GetBetter tele-medicine system developed under a WHO/TDR grant. Based on open-source face- and eye-detection algorithms, identity concealment is executed by blurring the eye region of a detected face using pixel shuffling. This method is shown to be not only effective in concealing the identity of the patient, but also in preserving the exact distribution of pixel values in the image. This is useful when subsequent image processing techniques are employed, such as when identifying the type of lesions based on images of the skin.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.