The application of wearable sensors and machine learning algorithms in rehabilitation training: A systematic review
S Wei, Z Wu - Sensors, 2023 - mdpi.com
The integration of wearable sensor technology and machine learning algorithms has
significantly transformed the field of intelligent medical rehabilitation. These innovative …
significantly transformed the field of intelligent medical rehabilitation. These innovative …
Lower Limb Joint Torque Estimation via Bayesian Regularized Backpropagation Neural Networks
Prior gait analysis has played a crucial role in assessing overall health and well-being,
particularly in individuals of different age groups. Nevertheless, acquiring gait data has …
particularly in individuals of different age groups. Nevertheless, acquiring gait data has …
Sensory Data Classification for Gait Assessment using Deep Neural Networks: A Comparative Study with SGD and Adam Optimizer
The evaluation of human walking through sensor data is pivotal in diagnosing various
neurological disorders. Despite the widespread use of deep learning methods to distinguish …
neurological disorders. Despite the widespread use of deep learning methods to distinguish …