Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action

Abstract

Research aims to enhance physical abilities using exoskeletons and limb movement prediction. SEMG signals are used for intuitive control, but their measurement is limited to shallowly under-the-skin muscles, making deep muscle signals less frequently used.
Here we extended a previously proposed method to train a virtual sensor for the difficult to access muscles (deep muscles e.g. brachialis).
The method is extended from signals from the same muscle to intermuscular signals and the results confirm simple biomechanical assumptions. The trained virtual sensors are ready for further investigations by being used in a biomechanical model.