Digitalization of colorimetric sensor technologies for food safety

F Mazur, Z Han, AD Tjandra… - Advanced …, 2024 - Wiley Online Library
Colorimetric sensors play a crucial role in promoting on‐site testing, enabling the detection
and/or quantification of various analytes based on changes in color. These sensors offer …

Predictive system implementation to improve the accuracy of urine self-diagnosis with smartphones: application of a confusion matrix-based learning model through …

SC Kim, YS Cho - Sensors, 2022 - mdpi.com
Urinalysis, an elementary chemical reaction-based method for analyzing color conversion
factors, facilitates examination of pathological conditions in the human body. Recently …

Compressive recovery of smartphone RGB spectral sensitivity functions

Y Ji, Y Kwak, SM Park, YL Kim - Optics Express, 2021 - opg.optica.org
Spectral response (or sensitivity) functions of a three-color image sensor (or trichromatic
camera) allow a mapping from spectral stimuli to RGB color values. Like biological …

Smartphone-based colorimetric analysis of urine test strips for at-home prenatal care

M Flaucher, M Nissen, KM Jaeger… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Objective: Clinical urine tests are a key component of prenatal care. As of now, urine test
strips are evaluated through a time consuming, often error-prone and operator-dependent …

Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

MH Tania, KT Lwin, AM Shabut, M Najlah… - Expert Systems with …, 2020 - Elsevier
This paper aims to deliberately examine the scope of an intelligent colourimetric test that
fulfils ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid and robust …

Accurate point-of-care lotus biomimetic microfluidic urine testing platform for patients with chronic kidney disease

C Yang, G He, Y Liu, Y Ma, T Jiang, X Gao… - Chemical Engineering …, 2024 - Elsevier
Improving outcomes of patients with chronic kidney disease (CKD) caused by
glomerulonephritis needs regular home urine monitoring. Here we present an accurate, fast …

Smartphone-based, automated detection of urine albumin using deep learning approach

R Thakur, P Maheshwari, SK Datta, SK Dubey - Measurement, 2022 - Elsevier
Detection of microalbuminuria is a vital factor to prevent the progression of cardiovascular
and renal disease. Several clinical studies on large population has shown the significance …

Machine learning-based rapid diagnostic-test reader for albuminuria using smartphone

R Thakur, P Maheshwari, SK Datta… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Albuminuria is an excellent marker for early diagnosis of kidney and cardiovascular disease.
Urine dipsticks that are widely used for rapid screening of albumin, lack sensitivity and …

Neuro‐fuzzy model for HELLP syndrome prediction in mobile cloud computing environments

MWL Moreira, JJPC Rodrigues… - Concurrency and …, 2021 - Wiley Online Library
The exchange of information among health professionals is a common practice among
clinics, laboratories, and hospitals. Cloud‐based clinical data exchange platforms enable …

Predicting the risk of preeclampsia using soft voting-based ensemble and its recommendation

O Simbolon, MN Widyawati… - … centric Systems (CcS …, 2020 - ieeexplore.ieee.org
Preeclampsia is one of the leading causes of maternal deaths and pregnancy-related
complications in many low-income countries. Factors related to preeclampsia include lack of …