Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion

Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion

<b>Background/Objectives</b>: Sarcopenia and cognitive decline (CD) are prevalent in aging populations, impacting functionality and quality of life. The early detection of these diseases is challenging, often relying on in-person screening, which is difficult to implement regularly. This...

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Main Authors: Rocío Aznar-Gimeno, Jose Luis Perez-Lasierra, Pablo Pérez-Lázaro, Irene Bosque-López, Marina Azpíroz-Puente, Pilar Salvo-Ibáñez, Martin Morita-Hernandez, Ana Caren Hernández-Ruiz, Antonio Gómez-Bernal, María de la Vega Rodrigalvarez-Chamarro, José-Víctor Alfaro-Santafé, Rafael del Hoyo-Alonso, Javier Alfaro-Santafé
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
inertial measurement unit
wearable sensor
artificial intelligence
machine learning
human pose estimation
musculoskeletal disorders
Online Access:https://www.mdpi.com/2075-4418/14/24/2886
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