NICE HELP: Non-Invasive Computational Evolution (NICE) for Hemoglobin Level Prediction (HELP)

Md Kamrul Hasan1, Richard Love, Sheikh Iqbal Ahamed, Md Munirul Haque2, Kim Young

  • 1Marquette University
  • 2Purdue University

Details

Category

1-Page Extended Abstract (Poster)

Sessions

18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO

Poster Session # 1 and BSN Innovative Health Technology Demonstrations

Abstract

We report a noninvasive smartphone-based hemoglobin level prediction system that uses the cloud computing resources. The smartphone captures the fingertip video and transfers the video to a cloud for further processing and hemoglobin level estimation. The predicted result is sent back to the user mobile instantly that potentially gives us a point of care facilities.

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