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Waist-to-height ratio assessment device

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 3 (2023)

DOI
10.11591/ijece.v13i3.pp2686-2694
ISSN
2722-2578, 2088-8708
Published
2023-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Many diseases are associated with excess abdominal fat like cardiovascular diseases. Monitoring and controlling abdominal fat led to one of the many factors that can change the status of a person’s health. Awareness of the waist-to-height ratio (WHtR) can be a guide to adjusting to a person’s lifestyle and maintaining a normal WHtR value. This study developed the WHtR assessment device that automatically calculates the WHtR value, displays the health status, and suggests the ideal waist circumference. The device is composed of a microcontroller that interconnects the other components of the device. A touchscreen liquid crystal display component was used as an input and output unit at the same time. The several testing that was conducted revealed accurate WHtR value calculation. The device is effective in assessing the health status of all age groups. The ideal waist circumference from the device was compared to manual computation and found that the success rate is one hundred percent (100%).

Collaboration network of the authors

14 authors · 35 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Saint Louis University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kym Harris BulauitanSaint Louis University1
Ravy Kim VicenteSaint Louis University1
Michelle RafaelSaint Louis University1
Jay Boy FloresSaint Louis University1
Cindy Verli DayagSaint Louis University1
Vanessa Mae ValenciaSaint Louis University1
Princess Hipolito TalosigSaint Louis University1
John Paulo RatillaSaint Louis University1
Gladys GalatSaint Louis University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Waist-to-height ratio assessment device</dc:title><dc:creator>Abana, Ertie</dc:creator><dc:creator>Accad, Mycah</dc:creator><dc:creator>Pagauisan, Marvin James</dc:creator><dc:creator>Taguiam, Patrick</dc:creator><dc:creator>Ferrer, Mary Ronalie</dc:creator><dc:description>&lt;jats:p&gt;Many diseases are associated with excess abdominal fat like cardiovascular diseases. Monitoring and controlling abdominal fat led to one of the many factors that can change the status of a person’s health. Awareness of the waist-to-height ratio (WHtR) can be a guide to adjusting to a person’s lifestyle and maintaining a normal WHtR value. This study developed the WHtR assessment device that automatically calculates the WHtR value, displays the health status, and suggests the ideal waist circumference. The device is composed of a microcontroller that interconnects the other components of the device. A touchscreen liquid crystal display component was used as an input and output unit at the same time. The several testing that was conducted revealed accurate WHtR value calculation. The device is effective in assessing the health status of all age groups. The ideal waist circumference from the device was compared to manual computation and found that the success rate is one hundred percent (100%).&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i3.pp2686-2694</dc:identifier><dc:identifier>10.11591/ijece.v13i3.pp2686-2694</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 3 (2023); 2686</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/29463/16513</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>