26 Rectification of EMG signals is a common processing step used when performing EEG-EMG 27 coherence and EMG-EMG coherence. It is well known, however, that EMG rectification alters 28 the power spectrum of the recorded EMG signal (interference EMG). The purpose of this study 29 was to determine whether rectification of the EMG signal influences the capability to capture the 30 oscillatory inpu...

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...

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, ...

With the ever increasing role of computerized machines in society, Human Computer Interaction (HCI) system has become an increasingly important part of our daily lives. HCI determines the effective utilization of the available information flow of the computing, communication, and display technologies. In recent years, there has been a tremendous interest in introducing intuitive interfaces that...

This paper reviews data acquisition and signal processing issues relative to producing an amplitude estimate of surface EMG. The paper covers two principle areas. First, methods for reducing noise, artefact and interference in recorded EMG are described. Wherever possible noise should be reduced at the source via appropriate skin preparation, and the use of well designed active electrodes and s...

Electromyography (EMG) signals are muscles that enable the identification of human movements without need complex kinematics calculations. Researchers prefer EMG as input to control prosthetic arms and exoskeleton robots. However, proper algorithm classify from raw has been an interesting challenging topic researchers. Various studies have carried out produce EMG-based movement classification g...

The sections above have described an EMG amplitude estimator and an initial application of this estimator to the EMG-torque problem. The amplitude estimator consists of six stages. In the first stage, motion artifact and power-line interference are attenuated. Motion artifact is typically removed with a highpass filter. Elimination of power-line noise is more difficult. Commercial systems tend ...

Electromyography (EMG) is a procedure for evaluating and recording the electrical activity produced by skeletal muscles. EMG has several clinical and prosthetic applications, which include the diagnosis of neuromuscular problems, biomechanical and motor control deficits, and other functional disorders. Moreover, it can be used as a control signal for interfacing with orthotic and/or prosthetic ...

This paper proposes robust methods for processing EMG (electromyography) signals in the framework of audio-EMGbased speech recognition. The EMG signals are captured when uttered and used as auxiliary information for recognizing speech. Two robust methods (Cepstral Mean Normalization and Spectral Subtraction) for EMG signal processing are investigated to improve the recognition performance. We a...