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 …
[HTML][HTML] Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review
(1) Background: Continuous health promotion systems are increasingly important, enabling
decentralized patient care, providing comfort, and reducing congestion in healthcare …
decentralized patient care, providing comfort, and reducing congestion in healthcare …
The capacity of action observation to drag the trainees' motor pattern toward the observed model
Abstract Action Observation Training (AOT) promotes the acquisition of motor abilities.
However, while the cortical modulations associated with the AOT efficacy are well known …
However, while the cortical modulations associated with the AOT efficacy are well known …
Electromyography Gesture Model Classifier for Fault-Tolerant-Embedded Devices by Means of Partial Least Square Class Modelling Error Correcting Output Codes …
Surface electromyography (sEMG) plays a crucial role in several applications, such as for
prosthetic controls, human–machine interfaces (HMI), rehabilitation, and disease diagnosis …
prosthetic controls, human–machine interfaces (HMI), rehabilitation, and disease diagnosis …