Comprehensive feature extraction for objective Dynamic Gait Index assessment of risk of falls in the elderly
Abstract. The evaluation and understanding of human balance and risk of falls, particularly in the elderly, is a growing field of study. Complementeing classic clinical tests (relying on comprehensive, although mostly qualitative assessments) with new devices that acquire precise patterns associa...
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| Autores principales: | , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
IOP Publishing
2023
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| Materias: | |
| Acceso en línea: | https://repositorio.uca.edu.ar/handle/123456789/17043 |
| Aporte de: |
| Sumario: | Abstract. The evaluation and understanding of human balance and risk of falls, particularly in
the elderly, is a growing field of study. Complementeing classic clinical tests (relying on
comprehensive, although mostly qualitative assessments) with new devices that acquire precise
patterns associated to the balance process, appears as a great oportunity in this area. Objective
features can be obtained from these patterns, summarizing relevant data about balance and gait
processes. This work presents results from the Dynamic Gait Index assessment over 42
subjects, while wearing a specially designed 3D-linear acceleration sensing device. With
knowledge about the test, features related to step frequency, energy expenditure and changes in
signal shape were defined and obtained from the three acceleration signals. The evolution of
these features over time is of interest, so a moving-window strategy was implemented. Signal
processing strategies were tested and improved, and results were correlated with the clinical
scores given by the physicians to better understand them, initially test their reliability and
select the most suitable ones. Results showed promise for this strategy in providing uniform,
meaningful and new interpretations about different processes involved in the stages of the test,
opening the possibility to develop custom user interfaces for clinical use. |
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