Human movement datasets: An interdisciplinary sco** review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors
A combination of wearable sensors' data and Machine Learning (ML) techniques has been
used in many studies to predict specific joint angles and moments. The aim of this study was …
used in many studies to predict specific joint angles and moments. The aim of this study was …
Ankle joint torque estimation using an EMG-driven neuromusculoskeletal model and an artificial neural network model
In recent decades, there has been an increasing interest in the use of robotic powered
exoskeletons to assist patients with movement disorders in rehabilitation and daily life …
exoskeletons to assist patients with movement disorders in rehabilitation and daily life …
Neural data-driven musculoskeletal modeling for personalized neurorehabilitation technologies
Objectives: The development of neurorehabilitation technologies requires the profound
understanding of the mechanisms underlying an individual's motor ability and impairment. A …
understanding of the mechanisms underlying an individual's motor ability and impairment. A …
Lower-limb joint torque prediction using LSTM neural networks and transfer learning
Estimation of joint torque during movement provides important information in several
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …
A calibrated EMG-informed neuromusculoskeletal model can appropriately account for muscle co-contraction in the estimation of hip joint contact forces in people with …
Abnormal hip joint contact forces (HJCF) are considered a primary mechanical contributor to
the progression of hip osteoarthritis (OA). Compared to healthy controls, people with hip OA …
the progression of hip osteoarthritis (OA). Compared to healthy controls, people with hip OA …
Is subject-specific musculoskeletal modelling worth the extra effort or is generic modelling worth the shortcut?
The majority of musculoskeletal modelling studies investigating healthy populations use
generic models linearly scaled to roughly match an individual's anthropometry. Generic …
generic models linearly scaled to roughly match an individual's anthropometry. Generic …
A musculoskeletal model customized for squatting task
Most musculoskeletal models (MSKM) are designed to evaluate gait and running, which
have limited range of motion (ROM). The purpose of this study was to examine the effect of …
have limited range of motion (ROM). The purpose of this study was to examine the effect of …
Biofeedback for gait retraining based on real-time estimation of tibiofemoral joint contact forces
Biofeedback assisted rehabilitation and intervention technologies have the potential to
modify clinically relevant biomechanics. Gait retraining has been used to reduce the knee …
modify clinically relevant biomechanics. Gait retraining has been used to reduce the knee …
Multi-level personalization of neuromusculoskeletal models to estimate physiologically plausible knee joint contact forces in children
Neuromusculoskeletal models are a powerful tool to investigate the internal biomechanics of
an individual. However, commonly used neuromusculoskeletal models are generated via …
an individual. However, commonly used neuromusculoskeletal models are generated via …