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Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

Loss of stability is a precursor to falling and therefore represents a leading cause of injury, especially in fragile people. Thus, dynamic stability during activities of daily living (ADLs) needs to be considered to assess balance control and fall risk. The dynamic margin of stability (MOS) is ofte...

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Autores principales: Guaitolini, Michelangelo, Aprigliano, Federica, Mannini, Andrea, Micera, Silvestro, Monaco, Vito, Sabatini, Angelo Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806087/
https://www.ncbi.nlm.nih.gov/pubmed/31547624
http://dx.doi.org/10.3390/s19194117
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author Guaitolini, Michelangelo
Aprigliano, Federica
Mannini, Andrea
Micera, Silvestro
Monaco, Vito
Sabatini, Angelo Maria
author_facet Guaitolini, Michelangelo
Aprigliano, Federica
Mannini, Andrea
Micera, Silvestro
Monaco, Vito
Sabatini, Angelo Maria
author_sort Guaitolini, Michelangelo
collection PubMed
description Loss of stability is a precursor to falling and therefore represents a leading cause of injury, especially in fragile people. Thus, dynamic stability during activities of daily living (ADLs) needs to be considered to assess balance control and fall risk. The dynamic margin of stability (MOS) is often used as an indicator of how the body center of mass is located and moves relative to the base of support. In this work, we propose a magneto-inertial measurement unit (MIMU)-based method to assess the MOS of a gait. Six young healthy subjects were asked to walk on a treadmill at different velocities while wearing MIMUs on their lower limbs and pelvis. We then assessed the MOS by computing the lower body displacement with respect to the leading inverse kinematics approach. The results were compared with those obtained using a camera-based system in terms of root mean square deviation (RMSD) and correlation coefficient (ρ). We obtained a RMSD of ≤1.80 cm and ρ ≥ 0.85 for each walking velocity. The findings revealed that our method is comparable to camera-based systems in terms of accuracy, suggesting that it may represent a strategy to assess stability during ADLs in unstructured environments.
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spelling pubmed-68060872019-11-07 Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network Guaitolini, Michelangelo Aprigliano, Federica Mannini, Andrea Micera, Silvestro Monaco, Vito Sabatini, Angelo Maria Sensors (Basel) Article Loss of stability is a precursor to falling and therefore represents a leading cause of injury, especially in fragile people. Thus, dynamic stability during activities of daily living (ADLs) needs to be considered to assess balance control and fall risk. The dynamic margin of stability (MOS) is often used as an indicator of how the body center of mass is located and moves relative to the base of support. In this work, we propose a magneto-inertial measurement unit (MIMU)-based method to assess the MOS of a gait. Six young healthy subjects were asked to walk on a treadmill at different velocities while wearing MIMUs on their lower limbs and pelvis. We then assessed the MOS by computing the lower body displacement with respect to the leading inverse kinematics approach. The results were compared with those obtained using a camera-based system in terms of root mean square deviation (RMSD) and correlation coefficient (ρ). We obtained a RMSD of ≤1.80 cm and ρ ≥ 0.85 for each walking velocity. The findings revealed that our method is comparable to camera-based systems in terms of accuracy, suggesting that it may represent a strategy to assess stability during ADLs in unstructured environments. MDPI 2019-09-23 /pmc/articles/PMC6806087/ /pubmed/31547624 http://dx.doi.org/10.3390/s19194117 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guaitolini, Michelangelo
Aprigliano, Federica
Mannini, Andrea
Micera, Silvestro
Monaco, Vito
Sabatini, Angelo Maria
Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title_full Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title_fullStr Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title_full_unstemmed Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title_short Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
title_sort ambulatory assessment of the dynamic margin of stability using an inertial sensor network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806087/
https://www.ncbi.nlm.nih.gov/pubmed/31547624
http://dx.doi.org/10.3390/s19194117
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