Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks: a Validation-Based Approach

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Joint stiffness estimation under dynamic conditions still remains a challenge. Current stiffness estimation methods often rely on the external perturbation of the joint. In this study, a novel 'perturbation-free' stiffness estimation method via electromyography (EMG)-driven musculoskeletal modeling was validated for the first time against system identification techniques. EMG signals, motion capture, and dynamic data of the ankle joint were collected in an experimental setup to study the ankle joint stiffness in a controlled way, i.e. at a movement frequency of 0.6 Hz as well as in the presence and absence of external perturbations. The model-based joint stiffness estimates were comparable to system identification techniques. The ability to estimate joint stiffness at any instant of time, with no need to apply joint perturbations, might help to fill the gap of knowledge between the neural and the muscular systems and enable the subsequent development of tailored neurorehabilitation therapies and biomimetic prostheses and orthoses.
Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages4104-4107
Number of pages4
ISBN (Electronic)978-1-5386-1311-5
ISBN (Print)978-1-5386-1312-2
DOIs
Publication statusPublished - 7 Oct 2019
Event41st International Engineering in Medicine and Biology Conference, EMBC 2019: Biomedical Engineering Ranging from Wellness to Intensive Care Medicine - CityCube Berlin, Berlin, Germany
Duration: 23 Jul 201927 Jul 2019
Conference number: 41
https://embc.embs.org/2019/

Conference

Conference41st International Engineering in Medicine and Biology Conference, EMBC 2019
Abbreviated titleEMBC
CountryGermany
CityBerlin
Period23/07/1927/07/19
Internet address

Fingerprint

Stiffness
Electromyography
Identification (control systems)
Biomimetics
Prosthetics

Cite this

@inproceedings{59176b6a198b462980955f0e94d18b41,
title = "Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks: a Validation-Based Approach",
abstract = "Joint stiffness estimation under dynamic conditions still remains a challenge. Current stiffness estimation methods often rely on the external perturbation of the joint. In this study, a novel 'perturbation-free' stiffness estimation method via electromyography (EMG)-driven musculoskeletal modeling was validated for the first time against system identification techniques. EMG signals, motion capture, and dynamic data of the ankle joint were collected in an experimental setup to study the ankle joint stiffness in a controlled way, i.e. at a movement frequency of 0.6 Hz as well as in the presence and absence of external perturbations. The model-based joint stiffness estimates were comparable to system identification techniques. The ability to estimate joint stiffness at any instant of time, with no need to apply joint perturbations, might help to fill the gap of knowledge between the neural and the muscular systems and enable the subsequent development of tailored neurorehabilitation therapies and biomimetic prostheses and orthoses.",
author = "Cop, {Christopher Pablo} and G.V. Durandau and {Moya Esteban}, Alejandro and {van 't Veld}, R.C. and A.C. Schouten and M. Sartori",
year = "2019",
month = "10",
day = "7",
doi = "10.1109/EMBC.2019.8857391",
language = "English",
isbn = "978-1-5386-1312-2",
pages = "4104--4107",
booktitle = "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",
publisher = "IEEE",
address = "United States",

}

Cop, CP, Durandau, GV, Moya Esteban, A, van 't Veld, RC, Schouten, AC & Sartori, M 2019, Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks: a Validation-Based Approach. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 4104-4107, 41st International Engineering in Medicine and Biology Conference, EMBC 2019, Berlin, Germany, 23/07/19. https://doi.org/10.1109/EMBC.2019.8857391

Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks : a Validation-Based Approach. / Cop, Christopher Pablo; Durandau, G.V.; Moya Esteban, Alejandro ; van 't Veld, R.C.; Schouten, A.C.; Sartori, M.

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019. p. 4104-4107.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks

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AU - Cop, Christopher Pablo

AU - Durandau, G.V.

AU - Moya Esteban, Alejandro

AU - van 't Veld, R.C.

AU - Schouten, A.C.

AU - Sartori, M.

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AB - Joint stiffness estimation under dynamic conditions still remains a challenge. Current stiffness estimation methods often rely on the external perturbation of the joint. In this study, a novel 'perturbation-free' stiffness estimation method via electromyography (EMG)-driven musculoskeletal modeling was validated for the first time against system identification techniques. EMG signals, motion capture, and dynamic data of the ankle joint were collected in an experimental setup to study the ankle joint stiffness in a controlled way, i.e. at a movement frequency of 0.6 Hz as well as in the presence and absence of external perturbations. The model-based joint stiffness estimates were comparable to system identification techniques. The ability to estimate joint stiffness at any instant of time, with no need to apply joint perturbations, might help to fill the gap of knowledge between the neural and the muscular systems and enable the subsequent development of tailored neurorehabilitation therapies and biomimetic prostheses and orthoses.

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