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A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy

Portable, custom-made electronic dynamometry for the foot and ankle is a promising assessment method that enables foot and ankle muscle function to be established in healthy participants and those affected by chronic conditions. Diabetic peripheral neuropathy (DPN) can alter foot and ankle muscle fu...

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Autores principales: Dragoi, Iulia Iovanca, Petrita, Teodor, Popescu, Florina Georgeta, Alexa, Florin, Barac, Sorin, Bowling, Frank L., Reeves, Neil D., Bondor, Cosmina Ioana, Ionac, Mihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416663/
https://www.ncbi.nlm.nih.gov/pubmed/36016070
http://dx.doi.org/10.3390/s22166310
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author Dragoi, Iulia Iovanca
Petrita, Teodor
Popescu, Florina Georgeta
Alexa, Florin
Barac, Sorin
Bowling, Frank L.
Reeves, Neil D.
Bondor, Cosmina Ioana
Ionac, Mihai
author_facet Dragoi, Iulia Iovanca
Petrita, Teodor
Popescu, Florina Georgeta
Alexa, Florin
Barac, Sorin
Bowling, Frank L.
Reeves, Neil D.
Bondor, Cosmina Ioana
Ionac, Mihai
author_sort Dragoi, Iulia Iovanca
collection PubMed
description Portable, custom-made electronic dynamometry for the foot and ankle is a promising assessment method that enables foot and ankle muscle function to be established in healthy participants and those affected by chronic conditions. Diabetic peripheral neuropathy (DPN) can alter foot and ankle muscle function. This study assessed ankle toque in participants with diabetic peripheral neuropathy and healthy participants, with the aim of developing an algorithm for optimizing the precision of data processing and interpretation of the results and to define a reference frame for ankle torque measurement in both healthy participants and those affected by DPN. This paper discloses the software chain and the signal processing methods used for voltage—torque conversion, filtering, offset detection and the muscle effort type identification, which further allowed for a primary statistical report. The full description of the signal processing methods will make our research reproducible. The applied algorithm for signal processing is proposed as a reference frame for ankle torque assessment when using a custom-made electronic dynamometer. While evaluating multiple measurements, our algorithm permits for a more detailed parametrization of the ankle torque results in healthy participants and those affected by DPN.
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spelling pubmed-94166632022-08-27 A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy Dragoi, Iulia Iovanca Petrita, Teodor Popescu, Florina Georgeta Alexa, Florin Barac, Sorin Bowling, Frank L. Reeves, Neil D. Bondor, Cosmina Ioana Ionac, Mihai Sensors (Basel) Article Portable, custom-made electronic dynamometry for the foot and ankle is a promising assessment method that enables foot and ankle muscle function to be established in healthy participants and those affected by chronic conditions. Diabetic peripheral neuropathy (DPN) can alter foot and ankle muscle function. This study assessed ankle toque in participants with diabetic peripheral neuropathy and healthy participants, with the aim of developing an algorithm for optimizing the precision of data processing and interpretation of the results and to define a reference frame for ankle torque measurement in both healthy participants and those affected by DPN. This paper discloses the software chain and the signal processing methods used for voltage—torque conversion, filtering, offset detection and the muscle effort type identification, which further allowed for a primary statistical report. The full description of the signal processing methods will make our research reproducible. The applied algorithm for signal processing is proposed as a reference frame for ankle torque assessment when using a custom-made electronic dynamometer. While evaluating multiple measurements, our algorithm permits for a more detailed parametrization of the ankle torque results in healthy participants and those affected by DPN. MDPI 2022-08-22 /pmc/articles/PMC9416663/ /pubmed/36016070 http://dx.doi.org/10.3390/s22166310 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dragoi, Iulia Iovanca
Petrita, Teodor
Popescu, Florina Georgeta
Alexa, Florin
Barac, Sorin
Bowling, Frank L.
Reeves, Neil D.
Bondor, Cosmina Ioana
Ionac, Mihai
A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title_full A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title_fullStr A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title_full_unstemmed A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title_short A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy
title_sort signal processing method for assessing ankle torque with a custom-made electronic dynamometer in participants affected by diabetic peripheral neuropathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416663/
https://www.ncbi.nlm.nih.gov/pubmed/36016070
http://dx.doi.org/10.3390/s22166310
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