Cargando…
Determining the Online Measurable Input Variables in Human Joint Moment Intelligent Prediction Based on the Hill Muscle Model
Introduction: Human joint moment is a critical parameter to rehabilitation assessment and human-robot interaction, which can be predicted using an artificial neural network (ANN) model. However, challenge remains as lack of an effective approach to determining the input variables for the ANN model i...
Autores principales: | Xiong, Baoping, Zeng, Nianyin, Li, Yurong, Du, Min, Huang, Meilan, Shi, Wuxiang, Mao, Guojun, Yang, Yuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070854/ https://www.ncbi.nlm.nih.gov/pubmed/32098065 http://dx.doi.org/10.3390/s20041185 |
Ejemplares similares
-
Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation
por: Shi, Wuxiang, et al.
Publicado: (2021) -
Input-output relations in biological systems: measurement, information and the Hill equation
por: Frank, Steven A
Publicado: (2013) -
Editorial: Data-Enabled Intelligence for Medical Technology Innovation, Volume I
por: Zeng, Nianyin, et al.
Publicado: (2022) -
Elbow Joint Stiffness Functional Scales Based on Hill’s Muscle Model and Genetic Optimization
por: Radmilović, Marija, et al.
Publicado: (2023) -
Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data
por: Zeng, Nianyin, et al.
Publicado: (2020)