Electromyography (EMG) is the study of electrical activity of muscle and it form valuable information in the diagnosis of neuromuscular disorders. EMG signal may be degraded by a noise; it is in the baseline of EMG signal. It is called baseline fluctuation of EMG signal. Baseline fluctuation distorts qualitative and quantitative analysis. The present work focus on various techniques and their c...

An animal model was established for invivo studies of the EMG responses of a parturient uterine smooth muscle tissue to electrical stimuli. Five normally gravid sheep were fitted with implanted electrodes to register EMG signals and electrical stimulation. EMG signals were detected at the cervix and at the gravid horn. Spontaneous EMG activity was registered simultaneously with EMG responses to...

Rectification of surface electromyographic (EMG) recordings prior to their correlation with other signals is a widely used form of preprocessing. Recently this practice has come into question, elevating the subject of EMG rectification to a topic of much debate. Proponents for rectifying suggest it accentuates the EMG spike timing information, whereas opponents indicate it is unnecessary and it...

Since the triboelectric nanogenerator (TENG) was invented, it has received extensive attention from researchers. Among many pieces of research based on TENG, hybridized generators is progressing rapidly. In recent years, and application electromagnetic–triboelectric (EMG-TENG) have made great progress. This review mainly focuses latest development EMG-TENG elaborates principles, materials, stru...

29 Multi-channel surface electromyograms (EMGs) were used to examine the sensitivity of 30 EMG-EMG coherence to infer changes in common oscillatory drive to hand muscles in young 31 and older adults. Previous research has shown that measures of coherence calculated from 32 different neurophysiological signals are influenced by the age of the subject, visual feedback 33 provided to the subject, ...

background: electromyographic (emg) signal decomposition is the process by which an emg signal is decomposed into its constituent motor unit potential trains (mupts). a major step in emg decomposition is feature extraction in which each detected motor unit potential (mup) is represented by a feature vector. as with any other pattern recognition system, feature extraction has a significant impac...