Surface Electromyography (EMG)-based pattern recognition methods have been
investigated over the past years as a means of controlling upper limb prostheses. Despite …

In pattern recognition-based myoelectric control, high accuracy for multiple discriminated
motions is presented in most of related literature. However, there is a gap between the …

Objective. Recent studies have reported that the classification performance of
electromyographic (EMG) signals degrades over time without proper classification …

Electromyography (EMG) is the process of measuring the electrical activity produced by
muscles throughout the body using electrodes on the surface of the skin or inserted in the …

The knowledge of plantar pressure distribution is important in understanding human
locomotion activities, and its integration with robotic assistive devices is an important …

Allowing amputees to volitionally control robotic prostheses can improve the adaptability to
terrain changes. In this paper, we propose a myoelectric controller for a robotic transtibial …

While several studies have demonstrated the short-term performance of pattern recognition
systems, long-term investigations are very limited. In this study, we investigated changes in …

Locomotion intent prediction is essential for the control of powered lower-limb prostheses to
realize smooth locomotion transitions. In this research, we develop a multi-sensor fusion …

Objective. Real-time myoelectric experimental protocol is considered as a means to quantify
usability of myoelectric control schemes. While usability should be considered over time to …

Recent developments in implantable technology, such as high-density recordings, wireless
transmission of signals to a prosthetic hand, may pave the way for intramuscular …