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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

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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. / Dragoi, Iulia Iovanca; Petrita, Teodor; Popescu, Florina Georgeta et al.
In: Sensors, Vol. 22, No. 16, 6310, 22.08.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Dragoi, II, Petrita, T, Popescu, FG, Alexa, F, Barac, S, Bowling, FL, Reeves, ND, Bondor, CI & Ionac, M 2022, 'A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy', Sensors, vol. 22, no. 16, 6310. https://doi.org/10.3390/s22166310

APA

Dragoi, I. I., Petrita, T., Popescu, F. G., Alexa, F., Barac, S., Bowling, F. L., Reeves, N. D., Bondor, C. I., & Ionac, M. (2022). A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy. Sensors, 22(16), Article 6310. https://doi.org/10.3390/s22166310

Vancouver

Dragoi II, Petrita T, Popescu FG, Alexa F, Barac S, Bowling FL et al. A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy. Sensors. 2022 Aug 22;22(16):6310. doi: 10.3390/s22166310

Author

Dragoi, Iulia Iovanca ; Petrita, Teodor ; Popescu, Florina Georgeta et al. / A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy. In: Sensors. 2022 ; Vol. 22, No. 16.

Bibtex

@article{2dc3bcc9e27b4cb58bbc5160481c6569,
title = "A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy",
abstract = "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.",
author = "Dragoi, {Iulia Iovanca} and Teodor Petrita and Popescu, {Florina Georgeta} and Florin Alexa and Sorin Barac and Bowling, {Frank L.} and Reeves, {Neil D.} and Bondor, {Cosmina Ioana} and Mihai Ionac",
year = "2022",
month = aug,
day = "22",
doi = "10.3390/s22166310",
language = "English",
volume = "22",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "16",

}

RIS

TY - JOUR

T1 - A Signal Processing Method for Assessing Ankle Torque with a Custom-Made Electronic Dynamometer in Participants Affected by Diabetic Peripheral Neuropathy

AU - Dragoi, Iulia Iovanca

AU - Petrita, Teodor

AU - Popescu, Florina Georgeta

AU - Alexa, Florin

AU - Barac, Sorin

AU - Bowling, Frank L.

AU - Reeves, Neil D.

AU - Bondor, Cosmina Ioana

AU - Ionac, Mihai

PY - 2022/8/22

Y1 - 2022/8/22

N2 - 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.

AB - 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.

U2 - 10.3390/s22166310

DO - 10.3390/s22166310

M3 - Journal article

VL - 22

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 16

M1 - 6310

ER -