Improving the reliability of smartphone-based urine colorimetry using a colour card calibration method
Objective Urine colorimetry using a digital image–based colorimetry is potentially an accessible hydration assessment method. This study evaluated the agreement between urine colorimetry values measured with different smartphone brands under various lighting conditions in patients with dengue fever....
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Format: | Article |
Language: | English |
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SAGE Publishing
2023-02-01
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Series: | Digital Health |
Online Access: | https://doi.org/10.1177/20552076231154684 |
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author | Muhaimin Noor Azhar Aida Bustam Fathmath Sausan Naseem Soo Siew Shuin Mohd Hafyzuddin Md Yusuf Naseeha Ubaidi Hishamudin Khadijah Poh |
author_facet | Muhaimin Noor Azhar Aida Bustam Fathmath Sausan Naseem Soo Siew Shuin Mohd Hafyzuddin Md Yusuf Naseeha Ubaidi Hishamudin Khadijah Poh |
author_sort | Muhaimin Noor Azhar |
collection | DOAJ |
description | Objective Urine colorimetry using a digital image–based colorimetry is potentially an accessible hydration assessment method. This study evaluated the agreement between urine colorimetry values measured with different smartphone brands under various lighting conditions in patients with dengue fever. Methods The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. These images were analyzed using Adobe Photoshop to obtain urine Red, Green and Blue (RGB) values with and without colour correction. A commercially available colour calibration card was used for colour correction. Using intraclass correlation coefficient (ICC), inter-phone and intra-phone agreements of urine RGB values were analyzed. Results Without colour correction, the various smartphones produced the highest agreement for Blue and Green values under the ‘daylight’ lighting condition. With colour correction, ICC values showed ‘exceptional’ inter-phone and intra-phone agreement for the Blue and Green values (ICC > 0.9). Red values showed ‘poor’ (ICC < 0.5) agreement with and without colour correction in all lighting conditions. Out of the five phones compared in this study, Phone 4 produced the lowest intra-phone agreement. Conclusions Colour calibration using photo colour cards improved the reliability of smartphone-based urine colorimetry, making this a promising point-of-care hydration assessment tool using the ubiquitous smartphone. |
first_indexed | 2024-04-10T15:56:26Z |
format | Article |
id | doaj.art-cab3dc4b0f7541f8aa7e66d4c26b2d97 |
institution | Directory Open Access Journal |
issn | 2055-2076 |
language | English |
last_indexed | 2024-04-10T15:56:26Z |
publishDate | 2023-02-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Digital Health |
spelling | doaj.art-cab3dc4b0f7541f8aa7e66d4c26b2d972023-02-10T14:34:05ZengSAGE PublishingDigital Health2055-20762023-02-01910.1177/20552076231154684Improving the reliability of smartphone-based urine colorimetry using a colour card calibration methodMuhaimin Noor Azhar0Aida Bustam1Fathmath Sausan Naseem2Soo Siew Shuin3Mohd Hafyzuddin Md Yusuf4Naseeha Ubaidi Hishamudin5Khadijah Poh6 Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Department of Emergency Medicine, University Malaya Medical Center (UMMC), Kuala Lumpur, Malaysia Faculty of Medicine, University of Malaya, Kuala Lumpur, MalaysiaObjective Urine colorimetry using a digital image–based colorimetry is potentially an accessible hydration assessment method. This study evaluated the agreement between urine colorimetry values measured with different smartphone brands under various lighting conditions in patients with dengue fever. Methods The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. These images were analyzed using Adobe Photoshop to obtain urine Red, Green and Blue (RGB) values with and without colour correction. A commercially available colour calibration card was used for colour correction. Using intraclass correlation coefficient (ICC), inter-phone and intra-phone agreements of urine RGB values were analyzed. Results Without colour correction, the various smartphones produced the highest agreement for Blue and Green values under the ‘daylight’ lighting condition. With colour correction, ICC values showed ‘exceptional’ inter-phone and intra-phone agreement for the Blue and Green values (ICC > 0.9). Red values showed ‘poor’ (ICC < 0.5) agreement with and without colour correction in all lighting conditions. Out of the five phones compared in this study, Phone 4 produced the lowest intra-phone agreement. Conclusions Colour calibration using photo colour cards improved the reliability of smartphone-based urine colorimetry, making this a promising point-of-care hydration assessment tool using the ubiquitous smartphone.https://doi.org/10.1177/20552076231154684 |
spellingShingle | Muhaimin Noor Azhar Aida Bustam Fathmath Sausan Naseem Soo Siew Shuin Mohd Hafyzuddin Md Yusuf Naseeha Ubaidi Hishamudin Khadijah Poh Improving the reliability of smartphone-based urine colorimetry using a colour card calibration method Digital Health |
title | Improving the reliability of smartphone-based urine colorimetry using a colour card
calibration method |
title_full | Improving the reliability of smartphone-based urine colorimetry using a colour card
calibration method |
title_fullStr | Improving the reliability of smartphone-based urine colorimetry using a colour card
calibration method |
title_full_unstemmed | Improving the reliability of smartphone-based urine colorimetry using a colour card
calibration method |
title_short | Improving the reliability of smartphone-based urine colorimetry using a colour card
calibration method |
title_sort | improving the reliability of smartphone based urine colorimetry using a colour card calibration method |
url | https://doi.org/10.1177/20552076231154684 |
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