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...

objective: due to the frequent use of surface electromyography as a tool for the study of muscle function, to accurately compare electromyographic data from different muscles and different subjects, it is necessary to normalize the integrated data obtained from each muscle. the most common normalization technique is the use of maximum voluntary isometric contraction (mvic) of a predetermined is...

We present our research on continuous speech recognition of the surface electromyographic signals that are generated by the human articulatory muscles. Previous research on electromyographic speech recognition was limited to isolated word recognition because it was very difficult to train phoneme-based acoustic models for the electromyographic speech recognizer. In this paper, we demonstrate ho...

With the rapid development of mathematical tools related to research on human behavior, more and more new discoveries are appeared in domestic and foreign. Surface EMG is a complex biological electrical signals and carrying a large body of information. In this paper, we found that the electromyographic signal is controlled by the brain signals and superposition of limb muscle action potential s...

Electromyography is a valuable tool in many clinical analyses, as it can give the clinician an accurate representation of what the muscles are doing to contribute to the desired task. For functional EMG the surface electrodes have the advantage of convenience and comfort. The major disadvantage to surface electrodes are cross talk and low level signal reception. Their adverse effects complicate...

In some circumstances, a person may be deprived of natural abilities, such as walking and speaking, perhaps due to limb amputation, spinal cord injuries (SCI), or degenerative diseases. Assistive technology devices allows motor-impaired people to overcome their limitations promoting greater independence. Particularly suitable in the case of people with severe motor impairment, electrical biosig...

EEG and EEG source-estimation are susceptible to electromyographic artifacts (EMG) generated by the cranial muscles. EMG can mask genuine effects or masquerade as a legitimate effect-even in low frequencies, such as alpha (8-13 Hz). Although regression-based correction has been used previously, only cursory attempts at validation exist, and the utility for source-localized data is unknown. To a...