Cargando…

Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling

(1) Background: The preoccupation related to the fall, also called fear of falling (FOF) by some authors is of interest in the fields of geriatrics and gerontology because it is related to the risk of falling and subsequent morbidity of falling. This study seeks to classify the acceleration patterns...

Descripción completa

Detalles Bibliográficos
Autores principales: González-Olguín, Arturo, Ramos Rodríguez, Diego, Higueras Córdoba, Francisco, Martínez Rebolledo, Luis, Taramasco, Carla, Robles Cruz, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564608/
https://www.ncbi.nlm.nih.gov/pubmed/36232190
http://dx.doi.org/10.3390/ijerph191912890
_version_ 1784808686824194048
author González-Olguín, Arturo
Ramos Rodríguez, Diego
Higueras Córdoba, Francisco
Martínez Rebolledo, Luis
Taramasco, Carla
Robles Cruz, Diego
author_facet González-Olguín, Arturo
Ramos Rodríguez, Diego
Higueras Córdoba, Francisco
Martínez Rebolledo, Luis
Taramasco, Carla
Robles Cruz, Diego
author_sort González-Olguín, Arturo
collection PubMed
description (1) Background: The preoccupation related to the fall, also called fear of falling (FOF) by some authors is of interest in the fields of geriatrics and gerontology because it is related to the risk of falling and subsequent morbidity of falling. This study seeks to classify the acceleration patterns of the center of mass during walking in subjects with mild and moderate knee osteoarthritis (KOA) for three levels of FOF (mild, moderate, and high). (2) Method: Center-of-mass acceleration patterns were recorded in all three planes of motion for a 30-meter walk test. A convolutional neural network (CNN) was implemented for the classification of acceleration signals based on the different levels of FOF (mild, moderate, and high) for two KOA conditions (mild and moderate). (3) Results: For the three levels of FOF to fall and regardless of the degree of KOA, a precision of 0.71 was obtained. For the classification considering the three levels of FOF and only for the mild KOA condition, a precision of 0.72 was obtained. For the classification considering the three levels of FOF and only the moderate KOA condition, a precision of 0.81 was obtained, the same as in the previous case, and finally for the classification for two levels of FOF, a high vs. moderate precision of 0.78 was obtained. For high vs. low, a precision of 0.77 was obtained, and for the moderate vs. low, a precision of 0.8 was obtained. Finally, when considering both KOA conditions, a 0.74 rating was obtained. (4) Conclusions: The classification model based on deep learning (CNN) allows for the adequate discrimination of the acceleration patterns of the moderate class above the low or high FOF.
format Online
Article
Text
id pubmed-9564608
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95646082022-10-15 Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling González-Olguín, Arturo Ramos Rodríguez, Diego Higueras Córdoba, Francisco Martínez Rebolledo, Luis Taramasco, Carla Robles Cruz, Diego Int J Environ Res Public Health Article (1) Background: The preoccupation related to the fall, also called fear of falling (FOF) by some authors is of interest in the fields of geriatrics and gerontology because it is related to the risk of falling and subsequent morbidity of falling. This study seeks to classify the acceleration patterns of the center of mass during walking in subjects with mild and moderate knee osteoarthritis (KOA) for three levels of FOF (mild, moderate, and high). (2) Method: Center-of-mass acceleration patterns were recorded in all three planes of motion for a 30-meter walk test. A convolutional neural network (CNN) was implemented for the classification of acceleration signals based on the different levels of FOF (mild, moderate, and high) for two KOA conditions (mild and moderate). (3) Results: For the three levels of FOF to fall and regardless of the degree of KOA, a precision of 0.71 was obtained. For the classification considering the three levels of FOF and only for the mild KOA condition, a precision of 0.72 was obtained. For the classification considering the three levels of FOF and only the moderate KOA condition, a precision of 0.81 was obtained, the same as in the previous case, and finally for the classification for two levels of FOF, a high vs. moderate precision of 0.78 was obtained. For high vs. low, a precision of 0.77 was obtained, and for the moderate vs. low, a precision of 0.8 was obtained. Finally, when considering both KOA conditions, a 0.74 rating was obtained. (4) Conclusions: The classification model based on deep learning (CNN) allows for the adequate discrimination of the acceleration patterns of the moderate class above the low or high FOF. MDPI 2022-10-08 /pmc/articles/PMC9564608/ /pubmed/36232190 http://dx.doi.org/10.3390/ijerph191912890 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
González-Olguín, Arturo
Ramos Rodríguez, Diego
Higueras Córdoba, Francisco
Martínez Rebolledo, Luis
Taramasco, Carla
Robles Cruz, Diego
Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title_full Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title_fullStr Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title_full_unstemmed Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title_short Classification of Center of Mass Acceleration Patterns in Older People with Knee Osteoarthritis and Fear of Falling
title_sort classification of center of mass acceleration patterns in older people with knee osteoarthritis and fear of falling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564608/
https://www.ncbi.nlm.nih.gov/pubmed/36232190
http://dx.doi.org/10.3390/ijerph191912890
work_keys_str_mv AT gonzalezolguinarturo classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling
AT ramosrodriguezdiego classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling
AT higuerascordobafrancisco classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling
AT martinezrebolledoluis classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling
AT taramascocarla classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling
AT roblescruzdiego classificationofcenterofmassaccelerationpatternsinolderpeoplewithkneeosteoarthritisandfearoffalling