Cargando…
Recurrent Neural Network Methods for Extracting Dynamic Balance Variables during Gait from a Single Inertial Measurement Unit
Monitoring dynamic balance during gait is critical for fall prevention in the elderly. The current study aimed to develop recurrent neural network models for extracting balance variables from a single inertial measurement unit (IMU) placed on the sacrum during walking. Thirteen healthy young and thi...
Autores principales: | Yu, Cheng-Hao, Yeh, Chih-Ching, Lu, Yi-Fu, Lu, Yi-Ling, Wang, Ting-Ming, Lin, Frank Yeong-Sung, Lu, Tung-Wu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675772/ https://www.ncbi.nlm.nih.gov/pubmed/38005428 http://dx.doi.org/10.3390/s23229040 |
Ejemplares similares
-
Recurrent Neural Network for Inertial Gait User Recognition in Smartphones
por: Fernandez-Lopez, Pablo, et al.
Publicado: (2019) -
Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units
por: Wang, Fu-Cheng, et al.
Publicado: (2021) -
Gait-force model and inertial measurement unit-based measurements: A new approach for gait analysis and balance monitoring
por: Li, Xinan, et al.
Publicado: (2016) -
Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
por: Bailey, Christopher A., et al.
Publicado: (2021) -
Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units
por: Su, Binbin, et al.
Publicado: (2020)