Análisis de datos de aceleración y ángulo en exámenes de la prueba time up and go para la identificación de patrones de movimiento.
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Date
2024
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Publisher
Universidad de Concepción
Abstract
Este documento presenta un estudio sobre la evaluación del movimiento humano utilizando una Unidad de Medición Inercial. El estudio incluye la recopilación de datos de participantes, el procesamiento de señales y un análisis exhaustivo de los resultados. Se destaca la importancia de mantener la calidad de la señal y considerar factores ergonómicos para garantizar resultados precisos. En cuanto a los hallazgos, se observa una inclinación durante el giro en individuos sanos, sugiriendo posibles ajustes posturales. Además, se propone un clasificador Support Vector Machine (SVM) para tareas de clasificación binaria, con un rendimiento del 92.31%.
Las conclusiones señalan la necesidad de investigar más a fondo la inclinación durante el giro, especialmente en relación con adultos mayores, y sugieren considerar variables demográficas y ergonómicas en futuras investigaciones. Se resalta la importancia de un enfoque integral al evaluar la prueba Time Up and Go (TUG), teniendo en cuenta tanto aspectos cuantitativos como cualitativos del movimiento.
El trabajo futuro propone investigar las causas de la inclinación, optimizar la calidad de la señal, evaluar el impacto de variables demográficas y condiciones de superficie, y realizar un estudio detallado de la inclinación en la prueba TUG. Este enfoque integral busca mejorar la comprensión de los patrones de movimiento y su relevancia en diferentes contextos.
This document presents a study on the assessment of human movement using an Inertial Measurement Unit. The study encompasses participant data collection, signal processing, and a comprehensive analysis of the results. Emphasis is placed on maintaining signal quality and considering ergonomic factors to ensure accurate outcomes. Regarding findings, an inclination during turning is observed in healthy individuals, suggesting potential postural adjustments. Additionally, a Support Vector Machine (SVM) classifier is proposed for binary classification tasks, achieving a performance of 92.31%. Conclusions highlight the need for further investigation into turning inclination, especially concerning older adults, and suggest considering demographic and ergonomic variables in future research. The importance of a comprehensive approach in evaluating the Time Up and Go (TUG) test is emphasized, considering both quantitative and qualitative aspects of movement. Future work proposes researching the causes of inclination, optimizing signal quality, assessing the impact of demographic variables and surface conditions, and conducting a detailed study of inclination in the TUG test. This comprehensive approach aims to enhance understanding of movement patterns and their relevance in different contexts.
This document presents a study on the assessment of human movement using an Inertial Measurement Unit. The study encompasses participant data collection, signal processing, and a comprehensive analysis of the results. Emphasis is placed on maintaining signal quality and considering ergonomic factors to ensure accurate outcomes. Regarding findings, an inclination during turning is observed in healthy individuals, suggesting potential postural adjustments. Additionally, a Support Vector Machine (SVM) classifier is proposed for binary classification tasks, achieving a performance of 92.31%. Conclusions highlight the need for further investigation into turning inclination, especially concerning older adults, and suggest considering demographic and ergonomic variables in future research. The importance of a comprehensive approach in evaluating the Time Up and Go (TUG) test is emphasized, considering both quantitative and qualitative aspects of movement. Future work proposes researching the causes of inclination, optimizing signal quality, assessing the impact of demographic variables and surface conditions, and conducting a detailed study of inclination in the TUG test. This comprehensive approach aims to enhance understanding of movement patterns and their relevance in different contexts.
Description
Tesis presentada para optar al título de Ingeniero Civil Biomédica
Keywords
Postura humana, Expectativa de Vida, Longevidad