Gait Characteristics and Fatigue Profiles When Standing on Surfaces with Different Hardness: Gait Analysis and Machine Learning Algorithms
Background: Longtime standing may cause fatigue and discomfort in the lower extremities, leading to an increased risk of falls and related musculoskeletal diseases. Therefore, preventive interventions and fatigue detection are crucial. This study aims to explore whether anti-fatigue mats can improve...
Guardado en:
Autores principales: | Zhenghui Lu, Dong Sun, Datao Xu, Xin Li, Julien S. Baker, Yaodong Gu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ef55055f43d04940993be8b154848aa1 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Gait Disorder Detection and Classification Method Using Inertia Measurement Unit for Augmented Feedback Training in Wearable Devices
por: Hyeonjong Kim, et al.
Publicado: (2021) -
Gait & posture
Publicado: (1993) -
Comparative gait analysis of patients with different design of total knee arthroplasty
por: Prodanović Nikola, et al.
Publicado: (2021) -
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
por: Verena Jakob, et al.
Publicado: (2021) -
Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
por: Ho Seok Lee, et al.
Publicado: (2021)