Gait event detection based on EMG signals

Gait event detection based on EMG signals

Stance and swing phases

Versandfertig in 6-10 Tagen
22,99 €
inkl. MwSt.
PAYBACK Punkte
11 °P sammeln!
Exposure to physical therapy in rehabilitation shows a major interest in recent years for foot drop prevention by using ankle foot devices (AFO). In classifying the stance and swing phases, electromyography (EMG) signals were used to assist in utilising the AFO. Even though this approach has successfully controlled the actuator, classification model of EMG signals during stance and swing phases have not yet been discovered. Thus, a model to classify the stance and swing phases of EMG signals was proposed in this study. A model was developed by extracting the features using time domain (TD) and...