Fall risk detection mechanism in the elderly, based on electromyographic signals, through the use of artificial intelligence
Autor
Arias-Poblete, Leónidas
Álvarez‐Arangua, Sebastián
Jerez-Mayorga, Daniel
Chamorro, Claudio
Ferrero‐Hernández, Paloma
Ferrari, Gerson
Farías‐Valenzuela, Claudio
Resumen
Introduction: The tests used to classify older adults at risk of falls are questioned in literature. Tools from the field of artificial intelligence are an alternative to classify older adults more precisely. Objective: To identify the risk of falls in the elderly through electromyographic signals of the lower limb, using tools from the field of artificial intelligence. Methods: A descriptive study design was used. The unit of analysis was made up of 32 older adults (16 with and 16 without risk of falls). The electrical activity of the lower limb muscles was recorded during the functional walking gesture. The cycles obtained were divided into training and validation sets, and then from the amplitude variable, select attributes using the Weka software. Finally, the Support Vector Machines (SVM) classifier was implemented. Results: A classifier of two classes (elderly adults with and without risk of falls) based on SVM was built, whose performance was: Kappa index 0.97 (almost perfect agreement strength), sensitivity 97%, specificity 100%. Conclusions: The SVM artificial intelligence technique applied to the analysis of lower limb electromyographic signals during walking can be considered a precision tool of diagnostic, monitoring and follow-up for older adults with and without risk of falls. © Copyright 2023: Publication Service of the University of Murcia, Murcia, Spain.
Colecciones
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Article
Use of the Wii Balance Board as a mechanism for recognition and classification of the risk of falls in older adults (2024)
Arias-Poblete, Leónidas; Álvarez‐Arangua, Sebastián; Pezo-Mora, Catalina; Jerez-Mayorga, Daniel; Donoso, Matías Orellana; Ferrero-Hernández, Paloma; Ferrari, Gerson; Farías‐ Valenzuela, Claudio (Universidad de Murcia, 2023)Introduction: In clinical practice, the functional tests used to assess the risk of falls require precision techniques and elements that avoid subjectivity. The use of the Wii Balance Board (WBB) is an alternative to the ... -
Article
Anthropometric Indicators of the Cardiometabolic Risk, Muscle Strength, and Functional Capacity of Schoolchildren with Intellectual Disabilities during Lockdown in Chile (2024)
Farías-Valenzuela, Claudio; Ferrari, Gerson; Espoz-Lazo, Sebastián; Ferrero-Hernández, Paloma; Jofré-Saldia, Emilio; Álvarez-Arangua, Sebastián; Poblete-Aro, Carlos; Godoy-Cumillaf, Andrés; Cofre-Bolados, Cristian; Valdivia-Moral, Pedro (Multidisciplinary Digital Publishing Institute (MDPI), 2022)Lockdown due to the COVID-19 pandemic has negatively impacted the social, psychological, and physical well-being of the world population. In the case of people with intellectual disabilities, the impact of lockdown on their ... -
Article
Effects of Multicomponent Physical Exercise Programs on Physical Fitness in People with Intellectual Disabilities: A Systematic Review (2024)
Farías-Valenzuela, Claudio; Ferrero-Hernández, Paloma; Ferrari, Gerson; Cofre-Bolados, Cristian; Espoz-Lazo, Sebastián; Álvarez-Arangua, Sebastián; Marques, Adilson; Valdivia-Moral, Pedro (MDPI, 2022)People with intellectual disabilities (ID) have high rates of overweight and obesity, heart and metabolic diseases, and low motor development. These factors compromise functional independence and autonomy in activities of ...