Classification and analysis of surface EMG (sEMG) signals have been particular interest due to their numerous applications in the biomedical field. They can be used for diagnosis neuromuscular diseases, kinesiological studies, human-machine interaction. However, these are difficult process noisy nature. To overcome this problem, a hybrid wavelet with ensemble empirical mode decomposition pre-pr...

Electromyography (EMG) is the analytical study of electrical activity produced by skeletal muscles. EMG is an example of modern human computer interaction which can be used in the field of medicines and engineering. Through this paper we are going to discuss about different types of EMG-Surface EMG(SEMG)/surface scanning EMG and intramuscular/ indwelling (needle and fine-wire) EMG, the electric...

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

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...

CONTENTS GENERAL CONCERNS ................................................................................................... 2 CHARACTERISTICS OF THE EMG SIGNAL ....................................................................... 2 CHARACTERISTICS OF THE ELECTRICAL NOISE .............................................................. 3 MAXIMIZING THE FIDELITY OF THE EMG SIGNAL .................