smartphone

Detecting Cataract Using Smartphones
Author(s)3: Behnam Askarian, Peter Ho, Jo Woon Chong
Detecting Cataract Using Smartphones 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive…

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Algorithms for monitoring heart rate and respiratory rate from the video of a user’s face
Author(s)3: Shourjya Sanyal, Koushik Kumar Nundy
Algorithms for monitoring heart rate and respiratory rate from the video of a user’s face 780 360 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

  Abstract Smartphone cameras can measure heart rate (HR) by detecting pulsatile photoplethysmographic (iPPG) signals from post-processing the video of a subject’s face. The iPPG signal is often derived from…

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Smartphone Based Point-of-Care Urinalysis Under Variable Illumination

Smartphone Based Point-of-Care Urinalysis Under Variable Illumination
Author(s)3: Moonsoo Ra, Mannan Saeed Muhammad, Chiawei Lim, Chansung Jung, Whoi-Yul Kim
Smartphone Based Point-of-Care Urinalysis Under Variable Illumination 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     Urine tests are performed by using an off-the-shelf reference sheet to compare the color of test strips. However, the tabular representation is difficult to use and more prone to…

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