Cargando…

Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study

The analysis of the body center of mass (BCoM) 3D kinematics provides insights on crucial aspects of locomotion, especially in populations with gait impairment such as people with amputation. In this paper, a wearable framework based on the use of different magneto-inertial measurement unit (MIMU) n...

Descripción completa

Detalles Bibliográficos
Autores principales: Simonetti, Emeline, Bergamini, Elena, Vannozzi, Giuseppe, Bascou, Joseph, Pillet, Hélène
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125485/
https://www.ncbi.nlm.nih.gov/pubmed/33946325
http://dx.doi.org/10.3390/s21093129
_version_ 1783693516942082048
author Simonetti, Emeline
Bergamini, Elena
Vannozzi, Giuseppe
Bascou, Joseph
Pillet, Hélène
author_facet Simonetti, Emeline
Bergamini, Elena
Vannozzi, Giuseppe
Bascou, Joseph
Pillet, Hélène
author_sort Simonetti, Emeline
collection PubMed
description The analysis of the body center of mass (BCoM) 3D kinematics provides insights on crucial aspects of locomotion, especially in populations with gait impairment such as people with amputation. In this paper, a wearable framework based on the use of different magneto-inertial measurement unit (MIMU) networks is proposed to obtain both BCoM acceleration and velocity. The proposed framework was validated as a proof of concept in one transfemoral amputee against data from force plates (acceleration) and an optoelectronic system (acceleration and velocity). The impact in terms of estimation accuracy when using a sensor network rather than a single MIMU at trunk level was also investigated. The estimated velocity and acceleration reached a strong agreement (ρ > 0.89) and good accuracy compared to reference data (normalized root mean square error (NRMSE) < 13.7%) in the anteroposterior and vertical directions when using three MIMUs on the trunk and both shanks and in all three directions when adding MIMUs on both thighs (ρ > 0.89, NRMSE ≤ 14.0% in the mediolateral direction). Conversely, only the vertical component of the BCoM kinematics was accurately captured when considering a single MIMU. These results suggest that inertial sensor networks may represent a valid alternative to laboratory-based instruments for 3D BCoM kinematics quantification in lower-limb amputees.
format Online
Article
Text
id pubmed-8125485
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81254852021-05-17 Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study Simonetti, Emeline Bergamini, Elena Vannozzi, Giuseppe Bascou, Joseph Pillet, Hélène Sensors (Basel) Article The analysis of the body center of mass (BCoM) 3D kinematics provides insights on crucial aspects of locomotion, especially in populations with gait impairment such as people with amputation. In this paper, a wearable framework based on the use of different magneto-inertial measurement unit (MIMU) networks is proposed to obtain both BCoM acceleration and velocity. The proposed framework was validated as a proof of concept in one transfemoral amputee against data from force plates (acceleration) and an optoelectronic system (acceleration and velocity). The impact in terms of estimation accuracy when using a sensor network rather than a single MIMU at trunk level was also investigated. The estimated velocity and acceleration reached a strong agreement (ρ > 0.89) and good accuracy compared to reference data (normalized root mean square error (NRMSE) < 13.7%) in the anteroposterior and vertical directions when using three MIMUs on the trunk and both shanks and in all three directions when adding MIMUs on both thighs (ρ > 0.89, NRMSE ≤ 14.0% in the mediolateral direction). Conversely, only the vertical component of the BCoM kinematics was accurately captured when considering a single MIMU. These results suggest that inertial sensor networks may represent a valid alternative to laboratory-based instruments for 3D BCoM kinematics quantification in lower-limb amputees. MDPI 2021-04-30 /pmc/articles/PMC8125485/ /pubmed/33946325 http://dx.doi.org/10.3390/s21093129 Text en © 2021 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
Simonetti, Emeline
Bergamini, Elena
Vannozzi, Giuseppe
Bascou, Joseph
Pillet, Hélène
Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title_full Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title_fullStr Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title_full_unstemmed Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title_short Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study
title_sort estimation of 3d body center of mass acceleration and instantaneous velocity from a wearable inertial sensor network in transfemoral amputee gait: a case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125485/
https://www.ncbi.nlm.nih.gov/pubmed/33946325
http://dx.doi.org/10.3390/s21093129
work_keys_str_mv AT simonettiemeline estimationof3dbodycenterofmassaccelerationandinstantaneousvelocityfromawearableinertialsensornetworkintransfemoralamputeegaitacasestudy
AT bergaminielena estimationof3dbodycenterofmassaccelerationandinstantaneousvelocityfromawearableinertialsensornetworkintransfemoralamputeegaitacasestudy
AT vannozzigiuseppe estimationof3dbodycenterofmassaccelerationandinstantaneousvelocityfromawearableinertialsensornetworkintransfemoralamputeegaitacasestudy
AT bascoujoseph estimationof3dbodycenterofmassaccelerationandinstantaneousvelocityfromawearableinertialsensornetworkintransfemoralamputeegaitacasestudy
AT pillethelene estimationof3dbodycenterofmassaccelerationandinstantaneousvelocityfromawearableinertialsensornetworkintransfemoralamputeegaitacasestudy