Plantar Load System Analysis Using FSR Sensors and Interpolation Methods Article Swipe
Gabriel Trujillo‐Hernández
,
Dayanna Ortiz‐Villaseñor
,
Julio C. Rodríguez-Quiñonez
,
Luis Roberto Ramírez-Hernández
,
Fabián N. Murrieta-Rico
,
A. Mercado
,
María E. Raygoza-L.
,
Jesús Heriberto Orduño-Osuna
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/metrology4040035
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/metrology4040035
The foot is considered a wonder of biological engineering due to its structure, formed by bones, ligaments, and tendons that collaborate to ensure stability and mobility. A key area often examined by medical professionals in patients with diabetic feet is the plantar surface, due to the risk of ulcer development. If left untreated, these ulcers can lead to severe complications, including amputation of the toe, foot, or even the limb. Interpolation methods are used to find areas with overloads in a system of sensor maps that are based on capacitive, load cells, or force-sensitive resistors (FSRs). This manuscript presents the assessment of linear, nearest neighbors, and bicubic methods in comparison with ground truth to calculate the root mean square error (RMSE) in two assessments using a dataset of eight healthy subjects, four men and four women, with an average age of 25 years, height of 1.63 m, and weight of 72 kg with shoe sizes from 7.3 USA using FSR map with 48 sensors. Additionally, this paper describes the conditioning circuit development to implement a plantar surface system that enables interpolating loads on the plantar surface. The proposed system’s results show that the first assessment indicates an RMSE of 0.089, 0.126, and 0.089 for linear, nearest neighbor, and bicubic methods, while the second assessment shows a mean RMSE for linear, nearest neighbor, and bicubic methods of 0.114, 0.159, and 0.112.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/metrology4040035
- https://www.mdpi.com/2673-8244/4/4/35/pdf?version=1728477916
- OA Status
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- Cited By
- 1
- References
- 31
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.3390/metrology4040035Digital Object Identifier
- Title
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Plantar Load System Analysis Using FSR Sensors and Interpolation MethodsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-09Full publication date if available
- Authors
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Gabriel Trujillo‐Hernández, Dayanna Ortiz‐Villaseñor, Julio C. Rodríguez-Quiñonez, Luis Roberto Ramírez-Hernández, Fabián N. Murrieta-Rico, A. Mercado, María E. Raygoza-L., Jesús Heriberto Orduño-OsunaList of authors in order
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https://doi.org/10.3390/metrology4040035Publisher landing page
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https://www.mdpi.com/2673-8244/4/4/35/pdf?version=1728477916Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.mdpi.com/2673-8244/4/4/35/pdf?version=1728477916Direct OA link when available
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Interpolation (computer graphics), Computer science, Environmental science, Computer vision, Motion (physics)Top concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Metrology |
| primary_location.landing_page_url | https://doi.org/10.3390/metrology4040035 |
| publication_date | 2024-10-09 |
| publication_year | 2024 |
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