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A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm

BACKGROUND: During the aging process, cognitive functions and performance of the muscular and neural system show signs of decline, thus making the elderly more susceptible to disease and death. These alterations, which occur with advanced age, affect functional performance in both the lower and uppe...

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Autores principales: de Lima Gonçalves, Veronica, Ribeiro, Caio Tonus, Cavalheiro, Guilherme Lopes, Zaruz, Maria José Ferreira, da Silva, Daniel Hilário, Milagre, Selma Terezinha, de Oliveira Andrade, Adriano, Pereira, Adriano Alves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580547/
https://www.ncbi.nlm.nih.gov/pubmed/37845723
http://dx.doi.org/10.1186/s12938-023-01161-4
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author de Lima Gonçalves, Veronica
Ribeiro, Caio Tonus
Cavalheiro, Guilherme Lopes
Zaruz, Maria José Ferreira
da Silva, Daniel Hilário
Milagre, Selma Terezinha
de Oliveira Andrade, Adriano
Pereira, Adriano Alves
author_facet de Lima Gonçalves, Veronica
Ribeiro, Caio Tonus
Cavalheiro, Guilherme Lopes
Zaruz, Maria José Ferreira
da Silva, Daniel Hilário
Milagre, Selma Terezinha
de Oliveira Andrade, Adriano
Pereira, Adriano Alves
author_sort de Lima Gonçalves, Veronica
collection PubMed
description BACKGROUND: During the aging process, cognitive functions and performance of the muscular and neural system show signs of decline, thus making the elderly more susceptible to disease and death. These alterations, which occur with advanced age, affect functional performance in both the lower and upper members, and consequently human motor functions. Objective measurements are important tools to help understand and characterize the dysfunctions and limitations that occur due to neuromuscular changes related to advancing age. Therefore, the objective of this study is to attest to the difference between groups of young and old individuals through manual movements and whether the combination of features can produce a linear correlation concerning the different age groups. METHODS: This study counted on 99 participants, these were divided into 8 groups, which were grouped by age. The data collection was performed using inertial sensors (positioned on the back of the hand and on the back of the forearm). Firstly, the participants were divided into groups of young and elderly to verify if the groups could be distinguished through the features alone. Following this, the features were combined using the linear discriminant analysis (LDA), which gave rise to a singular feature called the LDA-value that aided in verifying the correlation between the different age ranges and the LDA-value. RESULTS: The results demonstrated that 125 features are able to distinguish the difference between the groups of young and elderly individuals. The use of the LDA-value allows for the obtaining of a linear model of the changes that occur with aging in the performance of tasks in line with advancing age, the correlation obtained, using Pearson’s coefficient, was 0.86. CONCLUSION: When we compare only the young and elderly groups, the results indicate that there is a difference in the way tasks are performed between young and elderly individuals. When the 8 groups were analyzed, the linear correlation obtained was strong, with the LDA-value being effective in obtaining a linear correlation of the eight groups, demonstrating that although the features alone do not demonstrate gradual changes as a function of age, their combination established these changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01161-4.
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spelling pubmed-105805472023-10-18 A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm de Lima Gonçalves, Veronica Ribeiro, Caio Tonus Cavalheiro, Guilherme Lopes Zaruz, Maria José Ferreira da Silva, Daniel Hilário Milagre, Selma Terezinha de Oliveira Andrade, Adriano Pereira, Adriano Alves Biomed Eng Online Research BACKGROUND: During the aging process, cognitive functions and performance of the muscular and neural system show signs of decline, thus making the elderly more susceptible to disease and death. These alterations, which occur with advanced age, affect functional performance in both the lower and upper members, and consequently human motor functions. Objective measurements are important tools to help understand and characterize the dysfunctions and limitations that occur due to neuromuscular changes related to advancing age. Therefore, the objective of this study is to attest to the difference between groups of young and old individuals through manual movements and whether the combination of features can produce a linear correlation concerning the different age groups. METHODS: This study counted on 99 participants, these were divided into 8 groups, which were grouped by age. The data collection was performed using inertial sensors (positioned on the back of the hand and on the back of the forearm). Firstly, the participants were divided into groups of young and elderly to verify if the groups could be distinguished through the features alone. Following this, the features were combined using the linear discriminant analysis (LDA), which gave rise to a singular feature called the LDA-value that aided in verifying the correlation between the different age ranges and the LDA-value. RESULTS: The results demonstrated that 125 features are able to distinguish the difference between the groups of young and elderly individuals. The use of the LDA-value allows for the obtaining of a linear model of the changes that occur with aging in the performance of tasks in line with advancing age, the correlation obtained, using Pearson’s coefficient, was 0.86. CONCLUSION: When we compare only the young and elderly groups, the results indicate that there is a difference in the way tasks are performed between young and elderly individuals. When the 8 groups were analyzed, the linear correlation obtained was strong, with the LDA-value being effective in obtaining a linear correlation of the eight groups, demonstrating that although the features alone do not demonstrate gradual changes as a function of age, their combination established these changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01161-4. BioMed Central 2023-10-16 /pmc/articles/PMC10580547/ /pubmed/37845723 http://dx.doi.org/10.1186/s12938-023-01161-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
de Lima Gonçalves, Veronica
Ribeiro, Caio Tonus
Cavalheiro, Guilherme Lopes
Zaruz, Maria José Ferreira
da Silva, Daniel Hilário
Milagre, Selma Terezinha
de Oliveira Andrade, Adriano
Pereira, Adriano Alves
A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title_full A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title_fullStr A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title_full_unstemmed A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title_short A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
title_sort hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580547/
https://www.ncbi.nlm.nih.gov/pubmed/37845723
http://dx.doi.org/10.1186/s12938-023-01161-4
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