Physiologic assessment of diseases of the motor unit from the anterior horn cells to the muscles relies on a combination of needle electromyography (EMG) and nerve conduction studies (NCS). Both require a unique combination of knowledge of peripheral nervous system anatomy, physiology, pathophysiology, diseases, techniques, and electricity is necessary. Successful, high-quality, reproducible EM...

Important information gained using dynamic electromyography is to accurately define the muscle action and phase timing within the gait cycle. Human gait relies on selective timing and intensity of appropriate muscle activations for stability, loading and progression over the supporting foot during stance, and further to advance the limb in swing phase. A traditional clinical practice is to low ...

This paper details a strategy of discriminating finger Gestures using surface electromyography (EMG) signals, which could be applied to controlling the advanced multi-fingered myoelectric prosthesis for hand amputees. Finger motions discrimination is the key problem in this study. The EMG signal classification system was established based on the surface EMG signals from the subject’s forearm. F...

Electromyography (EMG) is widely applied for neural engineering. For motion pattern recognition, many features of multi-channel EMG signals were investigated, but the relationships between muscles were not considered. In this study, a novel STFT-ranking feature based on short-time Fourier transform (STFT) is proposed. The novelty of STFT-ranking features is considering and covering the relation...

The present growing field of molecular imaging, including multimodality microimaging techniques and spectroscopic approaches, is mainly based on small animal studies. Monitoring such models requires an efficient treatment and use of electrophysiological signals which may be spoiled by environmental effects especially when working with nuclear magnetic resonance (NMR) since radiofrequency (RF) p...