Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings.
Sensors (Basel)
; 24(10)2024 May 17.
Article
em En
| MEDLINE
| ID: mdl-38794059
ABSTRACT
Assessing mobility in daily life can provide significant insights into several clinical conditions, such as Chronic Obstructive Pulmonary Disease (COPD). In this paper, we present a comprehensive analysis of wearable devices' performance in gait speed estimation and explore optimal device combinations for everyday use. Using data collected from smartphones, smartwatches, and smart shoes, we evaluated the individual capabilities of each device and explored their synergistic effects when combined, thereby accommodating the preferences and possibilities of individuals for wearing different types of devices. Our study involved 20 healthy subjects performing a modified Six-Minute Walking Test (6MWT) under various conditions. The results revealed only little performance differences among devices, with the combination of smartwatches and smart shoes exhibiting superior estimation accuracy. Particularly, smartwatches captured additional health-related information and demonstrated enhanced accuracy when paired with other devices. Surprisingly, wearing all devices concurrently did not yield optimal results, suggesting a potential redundancy in feature extraction. Feature importance analysis highlighted key variables contributing to gait speed estimation, providing valuable insights for model refinement.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Velocidade de Caminhada
/
Dispositivos Eletrônicos Vestíveis
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article