Skip to contentMasud Rabbani
CV
Menu

Conference articles · 2023

Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning

Parama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed

2023 IEEE International Conference on Digital Health (ICDH) · Pages 202–204

Abstract

In this manuscript, we describe the architecture and development of a non-invasive prototype- KidneyCare that captures the ten-second fingertip video using the smartphone camera and NIR LED. Then this fingertip video will be analyzed to estimate the creatinine, GFR, and CrCl levels by using ML models. KidneyCare acts as a regular, remote, self-monitoring, and noninvasive point-of-care by providing information about the user’s kidney condition. KidneyCare provides data visualization features and conducts as a data management platform for practitioners which promotes early diagnosis and initiation of an early treatment plan. With all the above-mentioned features, KidneyCare will be a powerful mHealth-based system for monitoring kidney conditions by estimating Creatinine, GFR, and CrCl levels non-invasively.

Publication details

Category
Conference articles
Authors & affiliations
  1. Parama SrideviUbicomp Lab, Computer Science Department, Marquette University, Milwaukee, WI, USA
  2. Masud RabbaniUbicomp Lab, Computer Science Department, Marquette University, Milwaukee, WI, USA
  3. Sayed Mashroor MamunUbicomp Lab, Computer Science Department, Marquette University, Milwaukee, WI, USA
  4. Mohammad SyamGeorgia Cancer Center, Augusta University, GA, USA
  5. Rumi Ahmed KhanDepartment of Internal Medicine, University of Texas, Austin, TX, USA
  6. Sheikh Iqbal AhamedUbicomp Lab, Computer Science Department, Marquette University, Milwaukee, WI, USA
Venue
2023 IEEE International Conference on Digital Health (ICDH)
Publisher
IEEE
Record
Pages 202–204
Published
2023
Cite this work

Parama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed. “Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning”. 2023 IEEE International Conference on Digital Health (ICDH), 202–204. (2023). https://doi.org/10.1109/ICDH60066.2023.00036.

Download BibTeXDownload RIS

Research topics

  • Mobile Health (m-Health)
  • Creatinine
  • Glomerular filtration rate (GFR)
  • Creatinine Clearance (CrCl)
  • KidneyCare
  • Kidney Condition Monitoring
  • kidney disease
  • fingertip video
  • photoplethysmography
  • mobile health
  • machine learning
  • non-invasive sensing